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Time zone: Conference local time zone
Full Schedule Sun 12/6 Mon 12/7 Tue 12/8 Wed 12/9 Thu 12/10 Fri 12/11 Sat 12/12 Sun 12/13
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Invited Talk

Claire Monteleoni

Claire Monteleoni
12:30 AM - 1:30 AM
Speaker Bio
Claire Monteleoni
Claire Monteleoni is a senior research scientist at INRIA Paris where she leads the AI Research for Climate Change and Environmental Sustainability (ARCHES) team, and holds a Choose France Chair in AI. She is also a computer science professor at the University of Colorado Boulder (on leave). Her research on machine learning for the study of climate change helped launch the interdisciplinary field of Climate Informatics. She gave an invited tutorial: Climate Change: Challenges for Machine Learning, at NeurIPS 2014. She co-founded the Environmental Data Science journal, with Cambridge University Press, and the International Conference on Climate Informatics, which held its 15th annual event in 2026.
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Session
2:00 AM - 3:30 AM
Poster
3:30 AM - 5:30 AM
213 Events in this session
Adapting to Conflict: Equilibrium Structure and Adaptive Learning in Harmonic Games
Davide Legacci ⋅ Panayotis Mertikopoulos ⋅ Bary Pradelski
Adaptive Multi-view Graph Contrastive Learning via Fractional Continuous Dynamics
Yanan Zhao ⋅ Feng Ji ⋅ Jingyang Dai ⋅ Jiaze Ma ⋅ Keyue Jiang ⋅ Kai Zhao ⋅ Wee Peng Tay
Affine Tracing: A New Paradigm for Probabilistic Linear Solvers
Disha Hegde ⋅ Marvin Pförtner ⋅ Jon Cockayne
A General Filter-Enhanced Approach to Smartphone Hyperspectral Imaging
Daniil Reutsky ⋅ Daniil Vladimirov ⋅ Yasin Mamedov ⋅ Georgy Perevozchikov ⋅ Egor I Ershov ⋅ Nancy Mehta ⋅ Radu Timofte
A Generalized Tikhonov Layer for Interpretable-by-design Graph Neural Networks
Nicolas Tremblay ⋅ Filippo Maria Bianchi ⋅ Benjamin Ricaud
AgentKernelArena: Benchmarking Performance and Generalization of AI Coding Agents on GPU Kernels Optimization
Sharareh Younesian ⋅ Wenwen Ouyang ⋅ sina rafati ⋅ Mehdi Rezagholizadeh ⋅ Sharon Zhou ⋅ Ji Liu ⋅ Yue Liu ⋅ Yuchen Yang ⋅ Hao Li ⋅ Ziqiong Liu ⋅ Dong Li ⋅ Vikram Appia ⋅ Zhenyu Gu ⋅ Emad Barsoum
AgentRoom: Concurrent Multi-Agent Coding in a CRDT-Backed Shared Workspace
Seonglae Cho ⋅ Donghyun Lee
Algebraic Machine Learning: learning as computing subsets of the subdirect decomposition from Abstract Algebra
Fernando Martin-Maroto ⋅ Nabil Abderrahaman-Elena ⋅ David Mendez ⋅ Gonzalo de Polavieja
An Educated Guess: Deriving Statistically Aligned Gradient Estimates for Zeroth-Order Optimization
Justus F Hübotter ⋅ Serge Thill ⋅ Marcel A. J. van Gerven ⋅ Nasir Ahmad
An Information-Theoretic Evaluation Framework for Benchmark and Model Diagnosis in Knowledge Tracing
Houru Jiang ⋅ Zixi Wang ⋅ Tengteng Cheng ⋅ Xueyi Li ⋅ Mingliang Hou ⋅ Jiaqi Zheng ⋅ Renqiang Luo ⋅ Teng Guo ⋅ Zitao Liu
A Revisit of Hamiltonian Monte Carlo Efficiency on Bayesian Neural Networks
Cuong Ngoc Nguyen ⋅ Lam Ho ⋅ Vu Dinh ⋅ Georgios Karagiannis ⋅ Cuong V. Nguyen
Articraft: An Agentic System for Scalable Articulated 3D Asset Generation
Matt Zhou ⋅ Ruining Li ⋅ Xiaoyang Lyu ⋅ Zhaomou Song ⋅ Zhening Huang ⋅ Chuanxia Zheng ⋅ Christian Rupprecht ⋅ Andrea Vedaldi ⋅ Shangzhe Wu
A Spectral Framework for Closed-Form Relative Density Estimation
Francis Bach
Attention-based PCA
Rodrigo Maulen Soto ⋅ Claire Boyer
Attention Trajectories as a Diagnostic Axis for Deep Reinforcement Learning
Charlotte Beylier ⋅ Hannah Selder ⋅ Arthur Fleig ⋅ Simon M. Hofmann ⋅ Nico Scherf
Beyond Masked Sparsity: SNACK Enables Truly Sparse Neural Networks on GPU
Jafar Badour ⋅ Elena Mocanu ⋅ Maurice Keulen
Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs
Amr Abourayya ⋅ Jens Kleesiek ⋅ Michael Kamp
Beyond Single-Step Likelihood: Gibbs Variational Last Layers for Long-Horizon Dynamics Learning
Paul Brunzema ⋅ Henrik Hose ⋅ Sebastian Trimpe
Beyond Worst-Case Coreset Bounds for $k$-Clustering via Determinantal Sampling
Diptarka Chakraborty ⋅ Satyaki Mukherjee ⋅ Gaurav Vallabhdas Revankar ⋅ Hoang Son Tran
BlockFormer: Transformer-based inference from interaction maps
Eloïse Touron ⋅ Pedro Rodrigues ⋅ Julyan Arbel ⋅ Nelle Varoquaux ⋅ Michael Arbel
BRACE: Bipolar Reference-Aware Calibration and Estimation for Incomplete Multimodal Learning
Ruiting Dai ⋅ Zesen Cai ⋅ XiaoYu Zhao ⋅ Yiting Huang ⋅ Lisi Mo ⋅ Ming Li ⋅ Tao He
Breaking Adversarial Transferability in Fine-Tuned Speech Recognition
Mojtaba Nafez ⋅ Aref Mousavi ⋅ Mohammad E Mahdavi ⋅ Mobina Poulaei ⋅ Kiarash K Feriz ⋅ Mohammad Hossein Rohban
Causal Abstractions, Categorically Unified
Markus Englberger ⋅ Devendra Singh Dhami
Causal Attribution via Activation Patching
Amirmohammad Izadi ⋅ Mohammadali Banayeeanzade ⋅ Alireza Mirrokni ⋅ Hosein Hasani ⋅ Mobin Bagherian ⋅ Faridoun Mehri ⋅ Mahdieh Baghshah
Causal Representation Learning for Generalisable Recommendation
Yorgos Felekis ⋅ Michael O'Riordan ⋅ Oriol Corcoll Andreu ⋅ Ciarán Gilligan-Lee
CECAR: Cache & Expert Co-Aware Routing Accelerates On-Device Inference of MoE LLMs
Byeongju Kim ⋅ Hoonki Lee ⋅ Byungjun Kim ⋅ Inyul Ra ⋅ Yongjin Kim ⋅ Yongseong Lee ⋅ Sangyeob Kim
Cheap Per-Component Testing for PLS, Stable Under Rotation
Paweł Lenartowicz ⋅ Hubert Plisiecki
Chem-PerturBridge: a harmonized compendium of small molecule perturbation transcriptomic effects
Artur Szałata ⋅ Olga Novitskaia ⋅ Maiia Shulman ⋅ Matthew Mella ⋅ Altynbek Zhubanchaliyev ⋅ Fabian Theis
Cluster with Auctions for Vector Search
Swann BESSA ⋅ Pierre Fernandez ⋅ Gergely Szilvasy ⋅ Matthijs Douze ⋅ Herve Jegou
Computing Thiele Rules on Interval Elections and their Generalizations
Dimitris Avramidis ⋅ Alexandra Anna Lassota ⋅ Ulrike Schmidt-Kraepelin ⋅ Adrian Vetta
Conservative Continuous-Time Treatment Optimization
Nora Schneider ⋅ Georg Manten ⋅ Niki Kilbertus
Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves
Kartik Tandon ⋅ Julian J Gould ⋅ Tanishq Bhatia ⋅ Francesca Dominici ⋅ Alejandro Ribeiro ⋅ Claudio Battiloro
Constrained MDPs with Trajectory Constraints
Martino Bernasconi ⋅ Matteo Castiglioni ⋅ Alberto Marchesi
Continuous-Time Distribution Matching for Few-Step Diffusion Distillation
Tao Liu ⋅ Hao Yan ⋅ Mengting Chen ⋅ Taihang Hu ⋅ Zhengrong Yue ⋅ Zihao Pan ⋅ Jinsong Lan ⋅ Xiaoyong Zhu ⋅ Ming-Ming Cheng ⋅ Bo Zheng ⋅ Yaxing Wang
Control Reinforcement Learning: Token-Level Mechanistic Analysis via Learned SAE Feature Steering
Seonglae Cho ⋅ Zekun Wu ⋅ Adriano Koshiyama
CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modelling
Sayan Deb Sarkar ⋅ Rémi Pautrat ⋅ Ondrej Miksik ⋅ Marc Pollefeys ⋅ Iro Armeni ⋅ Mahdi Rad ⋅ Mihai Dusmanu
Cosine is Human: The Reproducibility Ceiling of Perceptual Similarity
Benjamin TenWolde ⋅ Virginia de Sa
COVD: Continual Open-Vocabulary Object Detection with Novel Concept Injection
Yupeng Zhang ⋅ Ruize Han ⋅ Yuzhong Feng ⋅ Zixin Ren ⋅ Yuntong Tian ⋅ Liang Wan
Curvature-Dependent Lower Bounds for Frank-Wolfe
Jannis Halbey ⋅ Christophe Roux ⋅ Sebastian Pokutta
D2D: Detector-to-Differentiable Critic for Improved Numeracy in Text-to-Image Generation
Nobline Yoo ⋅ Olga Russakovsky ⋅ Ye Zhu
DAG-Biased Graph Learning for Multimodal Survival on EHR
Munib Mesinovic ⋅ Tingting Zhu
Dancing in Fetters: Pareto-Optimal On-Device LLMs under Hardware Constraints
Luoyang Sun ⋅ Jiwen Jiang ⋅ Yifeng Ding ⋅ Fengfa Li ⋅ Yan Song ⋅ Haifeng Zhang ⋅ Lei Ren ⋅ Kun Zhan ⋅ Chen Wei ⋅ Xie Yan ⋅ Jun Wang ⋅ Cheng Deng
DC-DiT: Adaptive Compute and Elastic Inference for Visual Generation via Dynamic Chunking
Akash Haridas ⋅ Utkarsh Saxena ⋅ Parsa Ashrafi Fashi ⋅ Mehdi Rezagholizadeh ⋅ Vikram Appia ⋅ Emad Barsoum
Decentralized $\mu^2$-SGD: Narrowing the Parallelism Gap to Centralized Learning
Ofri Eisen ⋅ Sharon Goldstein ⋅ Ran Elbaz ⋅ Kfir Y. Levy
Decentralized Ranking Aggregation via Gossip: Convergence and Robustness
Kerrian Le Caillec ⋅ Anna van Elst ⋅ Igor Colin ⋅ Stephan Clémençon
Decoupled Mode Connectivity for Base-to-Novel Generalization in Vision-Language Models
Imad-Eddine Marouf ⋅ khalid OUBLAL ⋅ Enzo Tartaglione ⋅ Stéphane LATHUILIÈRE
Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth
Viktor Kocur ⋅ Sithu Aung ⋅ Gabrielle Flood ⋅ Yaqing Ding ⋅ Lukas Bujnak ⋅ Torsten Sattler ⋅ Zuzana Kukelova
Difference of Convex Programming in the Wasserstein Space with Applications to MMD Optimization
Clément Bonet ⋅ Pierre-Cyril Aubin-Frankowski ⋅ Youssef Mroueh
Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures
Lorenzo Baldassari ⋅ Josselin Garnier ⋅ Knut Solna ⋅ Maarten V. de Hoop
Diversity Curves for Graph Representation Learning
Katharina Limbeck ⋅ Nadja Häusermann ⋅ Martin Carrasco ⋅ Guy Wolf ⋅ Bastian Rieck
Do Heavy Tails Help Diffusion? On the Subtle Trade-off Between Initialization and Training
Hamza Cherkaoui ⋅ Hélène Halconruy ⋅ Antonio Ocello
DP-EGGROLL: Centered Fitness-Vector Privatization for Backprop-Free Differentially Private Optimization
David T Zagardo
Early Detection of Backbone Divergence via Neighborhood Structure in Learned Embeddings
Yiming Zhang ⋅ Reza Hassanpour ⋅ Georgi Gaydadjiev
Effective Biological Representation Learning by Masking Gene Expression
Kian Kenyon-Dean ⋅ Alina Selega ⋅ Ihab Bendidi ⋅ Jordan M Sorokin ⋅ Luca Bertinetto ⋅ David Errington ⋅ Hayley Donnella ⋅ Oren Kraus
Efficient and Robust Physical 3DGS-MPM Simulation via Interior Filling and Text-Physics Optimization
Yikun Ma ⋅ Yiqing Li ⋅ Jingwen Ye ⋅ Zhongkai Wu ⋅ Weidong Zhang ⋅ Lin Gao ⋅ Zhi Jin
Efficient One-to-many Domain Translation via Diffusive Entropic Optimal Transport
David Vaneev ⋅ Ivan Shchekotov ⋅ Denis Rakitin ⋅ Dmitry Vetrov
Emergent Semantic Role Understanding in Language Models
Carla Griffiths ⋅ Mirco Musolesi
Endowing Your Vision-Language-Action Model with a Predictive Mind
Pengxiang Ding ⋅ Haoying Wang ⋅ Minghui Lin ⋅ Qishen Wang ⋅ Zhenyu Ding ⋅ Runze Suo ⋅ Xuanxuan An ⋅ Wenxuan Song ⋅ Fuhao Li ⋅ Han Zhao ⋅ Donglin Wang ⋅ Ning DING
Enhanced convergence guarantees of score-based generative models in $\mathcal{W}_2$-distance beyond log-concavity
Zhang Xiaoyan ⋅ Chenxu Pang ⋅ Xiaojie Wang
Exact Regular-Constrained Sampling for Variable-Order Markov Generation
Francois Pachet
Eyes on VLM: Benchmarking Gaze Following and Social Gaze Prediction in Vision Language Models
Hengfei Wang ⋅ Anshul Gupta ⋅ Pierre Vuillecard ⋅ Jean-marc Odobez
FacePhys: State of the Heart Learning
Jack Tang ⋅ Kegang Wang ⋅ Yuntao Wang ⋅ Xin Liu ⋅ Yuxuan Fan ⋅ Jiatong Ji ⋅ Yuanchun Shi ⋅ Daniel McDuff
Fast Alignment of Embeddings: Computational Guarantees for Anisotropic Procrustes-Wasserstein
Jakob Maier ⋅ Laurent Massoulié
Fast, Relaxation‑ and Hyperparameter‑Free Pairwise Worst-Case Class Separation
Mohammad Mahdi Omati ⋅ Arash Amini ⋅ Nezam Mahdavi-Amiri
Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers
Evelyn Turri ⋅ Davide Bucciarelli ⋅ Sara Sarto ⋅ Lorenzo Baraldi ⋅ Marcella Cornia
FiLM-CAM: Keyed Feature Modulation for Conditional-Access Watermarking
Yash Kulthe ⋅ Vishal Asnani ⋅ Shruti Agarwal ⋅ Andrew Gilbert ⋅ John Collomosse
Fixed-Point Masked Generative Modeling
Andrea Miele ⋅ Yiming QIN ⋅ Alba Carballo Castro ⋅ Justin Deschenaux ⋅ Pascal Frossard
Flow-Transformed Implicit Processes for Function-Space Variational Inference
Luis A. Ortega ⋅ Andres Masegosa ⋅ Thomas Nielsen
Follow the Winners: Conservative Policy Improvement with the Cross-Entropy Method for Critic-Free RFT
Joery A de Vries ⋅ Neil Lawrence ⋅ Zhenwen Dai
Foveated BagNet: Inherent Interpretability Does Not Exclude Global Context
Holger Heidrich ⋅ Sarah Müller ⋅ Andreas Schilling
Frame the adversary: a structure-aware attack methodology
Vicky Kouni ⋅ Stelios Perrakis ⋅ Francis Bach ⋅ Pascal Frossard ⋅ Yann Chevaleyre
Generalized Bayes for Causal Inference
Emil Javurek ⋅ Dennis Frauen ⋅ Yuxin Wang ⋅ Stefan Feuerriegel
Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation
Hugues Van Assel ⋅ Edward De Brouwer ⋅ Saeed Saremi ⋅ Gabriele Scalia ⋅ Aviv Regev
GeoDial: A Multimodal Dialog Tutoring Dataset for Geometry Problem-Solving with Visual Tutor Turns
Sankalan Pal Chowdhury ⋅ Junling Wang ⋅ Donya Rooein ⋅ April Wang ⋅ Mrinmaya Sachan
Global Convergence in Deep Networks via the Second Law of Thermodynamics
Matan Tsipory ⋅ Ofir Gaash ⋅ Itamar Harel ⋅ Nati Srebro ⋅ Daniel Soudry
GradShield: Alignment Preserving Finetuning
Zhanhao Hu ⋅ Xiao Huang ⋅ Patrick Mendoza ⋅ Emad A Alghamdi ⋅ Basel Alomair ⋅ Raluca Popa ⋅ David Wagner
Half-Truths Break Similarity-Based Retrieval
Bora Kargi ⋅ Arnas Uselis ⋅ Seong Joon Oh
Hard Attention Transformers and BSS-Machines
Lena Ehrmuth
HARP: Training-Free Dual-Profile Agentic Communication for LLM-Based Recommendation
Zhen Tao ⋅ Xun Zhou ⋅ Xuhui Chen ⋅ Ziyue Qiao ⋅ Qingqiang Sun
HelpBench: Assessing the Ability of LLMs to Provide Privacy, Safety, and Security Advice
Sarah Meiklejohn ⋅ Sunny Consolvo ⋅ Patrick G Kelley ⋅ Tara Matthews ⋅ Sai Teja Peddinti ⋅ Renee Shelby ⋅ Lenin Simicich ⋅ Kurt Thomas
Hierarchical Conformal Classification
Floris den Hengst ⋅ Inès Blin ⋅ Majid Mohammadi ⋅ Syed I Shah ⋅ Taraneh Younesian
Hybrid Probabilistic Zonotopes for Identifiable and Refinable Predictive Uncertainty
Zhen Zhang ⋅ Amr Alanwar
Image Generation for Automotive Lidar Open-vocabulary Semantic Segmentation
Nermin Samet ⋅ Gilles Puy ⋅ Renaud Marlet
InCLAD: A Continual Learning Benchmark for Industrial Visual Anomaly Detection
Łukasz Marcjan ⋅ Dorota Wilk-Kołodziejczyk ⋅ Roberto Corizzo
Know What You Need: Efficient Activation Checkpointing
Danyal Ahmed ⋅ Edouard Oyallon
Large language models suffer from a curse of ambiguity
Nicolas Zucchet ⋅ Hyun Dong Lee ⋅ Scott Linderman
Latent Debate: A Surrogate Framework for Interpreting LLM Thinking towards Binary Decisions
Lihu Chen ⋅ Xiang Yin ⋅ Francesca Toni
Learning Better Certified Models from Empirically-Robust Teachers
Alessandro De Palma
Lethe: Link Inference Attacks For Evaluation of Edge Unlearning Methods
Andrea D'Angelo ⋅ Francesco Gullo ⋅ Davide Mottin ⋅ Sayan Ranu ⋅ Giovanni Stilo
Likelihood-free inference of phylogenetic tree posterior distributions
Luc Blassel ⋅ Noémie Sauvage ⋅ Pierre Barrat-Charlaix ⋅ Bastien Boussau ⋅ Nicolas Lartillot ⋅ Laurent Jacob
ListQA: A Benchmark for Evaluating List-Formatted Factual Knowledge Retrieval in Large Language Models
Mayank Kulkarni ⋅ Rakesh Vaideeswaran
LLM-Enhanced Random Forests in Orthogonal Hyperbolic Subspaces for Tabular Learning
Shengpeng Wang ⋅ Yisen Gao ⋅ Han Xiang ⋅ lingyun liu ⋅ Ziwei Zhang ⋅ Qingyun Sun ⋅ Xianxian LI ⋅ Xingcheng Fu
LoopRPT: Reinforcement Pre-Training for Looped Language Models
Guo Tang ⋅ Shixin Jiang ⋅ Heng Chang ⋅ Zihan Zhang ⋅ Nuo Chen ⋅ Yuhan Li ⋅ HuiMing Fan ⋅ Jia Li ⋅ Ming Liu ⋅ Bing Qin
Lost or Hidden? A Concept-Level Forgetting in Supervised Continual Learning
Katarzyna Filus ⋅ Kamil Faber ⋅ Roberto Corizzo ⋅ Christopher Kanan
Match the Geometry, Skip the Surrogate: Extreme Low-Budget Optimization in High Dimensions
Michal Prusek ⋅ Adam Novozámský ⋅ Filip Sroubek
Mean-Field Control on Sparse Graphs: From Local Limits to GNNs via Neighborhood Distributions
Tobias Schmidt ⋅ Kai Cui
Measuring Black-Box Confidence via Reasoning Trajectories: Geometry, Coverage, and Verbalization
Marc Boubnovski Martell ⋅ Josefa Stoisser ⋅ Kaspar Märtens ⋅ Jialin Yu ⋅ Robert Kitchen ⋅ Philip Torr ⋅ Jesper Ferkinghoff-Borg
Memory-Driven Contrastive Embedding Enhancement for Fine-Grained Open-Set Semi-Supervised Learning
Yinan Han ⋅ Qing-Yuan Jiang
Mesh Invaiant Infinite Dimensional Adaptive MCMC for Latent Gaussian Processes
Jonas Wallin ⋅ Sreekar Vadlamani
Meta-Learning Preferences for Multilingual LLM Alignment
Jiaying Lin ⋅ Seongho Son ⋅ Nam P Tran ⋅ Long Tran-Thanh ⋅ Ilija Bogunovic ⋅ Debmalya Mandal
Midpoint Generative Models
Daniil Shlenskii ⋅ Nikita Gushchin ⋅ Lev Novitskiy ⋅ Dmitry V. Dylov ⋅ Aleksandr Korotin
Minimax Optimal Early-Stopped Gradient Descent for Gaussian Mixture Classification
Alex Buna ⋅ Xiaoqi Liu ⋅ Patrick Rebeschini
(Mis)generalization of Helpful-Only Fine-Tuning
Mohammad Omar Khursheed ⋅ Baram Sosis ⋅ Fabien Roger
Mixture of Attribute-Aware Attention Experts for Fine-grained E-Commerce Composed Image Retrieval
Yufei Ma ⋅ Zihan Liang ⋅ Zhipeng Qian ⋅ Huangyu Dai ⋅ Lingtao Mao ⋅ Ben Chen ⋅ Chenyi Lei ⋅ Wenwu Ou
Momentum Smooths the Path to Gradient Equilibrium
João Vitor Romano ⋅ Margaux Zaffran ⋅ Ryan Tibshirani
MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset
Benjamin Aubin ⋅ Gonzalo Iñaki Quintana ⋅ Onur Tasar ⋅ Sanjeev Sreetharan ⋅ Urszula Czerwinska ⋅ Damien Henry ⋅ Clément Chadebec
Mosaic: A Benchmark Suite for Differentiable Physics Solvers
Andrin Rehmann ⋅ Heiko Zimmermann ⋅ Dion Häfner
Muon Dynamics as a Spectral Wasserstein Flow
Gabriel Peyré
Mutable Transcripts: Mitigating Context Pollution through Editable Conversation State
Dan Barry ⋅ Andrew Hines
Near-Optimal Decentralized Stochastic Convex Optimization over Networks
Amit Attia ⋅ Nitai Kluger ⋅ Tomer Koren
Neural Fractional Stochastic Differential Equations
Yongxin Yang ⋅ Timothy Hospedales
NeuroNTP - A Generalizable Multimodal Foundation Model for Epilepsy
József Kovács ⋅ Amadeus Hauser ⋅ Gudrun Gröppel ⋅ Wolfgang Narzt ⋅ Philipp Seidl
Neurosymbolic Learning for Inference-Time Argumentation
Gabriel Freedman ⋅ Adam Dejl ⋅ Adam Gould ⋅ Mansi - ⋅ Lihu Chen ⋅ Junqi Jiang ⋅ Francesca Toni
NOCE-Net: Representation Learning for Battery Operational Context via Nested Sequence Modelling
Arnab Bhattacharjee ⋅ Wayes Tushar ⋅ Tapan K Saha
Normative Networks for Source Separation via Local Plasticity and Dendritic Computation
Bariscan Bozkurt ⋅ Efe Ali Gorguner ⋅ Francesco Innocenti ⋅ Rafal Bogacz
One View Is Enough: In-the-Wild Monocular Pretraining for Novel View Generation
Adrien RAMANANA RAHARY ⋅ Nicolas Dufour ⋅ Patrick Perez ⋅ David Picard
On the Bias of Group-Based Advantage Estimation
Fengkai Yang ⋅ Zherui Chen ⋅ Xiaohan Wang ⋅ Xiaodong Lu ⋅ Jiajun Chai ⋅ Guojun Yin ⋅ Wei Lin ⋅ Fuzhen Zhuang ⋅ Shuai Ma ⋅ deqing wang ⋅ Yaodong Yang ⋅ Yikun Ban
OpenMedReason: Scientific Reasoning Supervision for Medical Vision–Language Models
Negin Baghbanzadeh ⋅ Pritam Sarkar ⋅ Michael Colacci ⋅ Abeer Badawi ⋅ Adibvafa Fallahpour ⋅ Arash Afkanpour ⋅ Leonid Sigal ⋅ Ali Etemad ⋅ Elham Dolatabadi
Optimal Convergence Analysis of DDPM for General Distributions
Yuchen Jiao ⋅ Yuchen Zhou ⋅ Gen Li
Optimal Rates for Adaptive Private $k$-PCA
Johanna Düngler ⋅ Amartya Sanyal
Optimizing Social Utility in Sequential Experiments
Ander Artola Velasco ⋅ Stratis Tsirtsis ⋅ Manuel Rodriguez
Partition Tree: Conditional Density Estimation over General Outcome Spaces
Felipe Angelim ⋅ Alessandro Leite
PDHFormer: Progressive Dual-Head Transformer for Behavioral Choice Prediction
Hao Zhou ⋅ Jing Chen ⋅ Yaoxin Wu ⋅ Jie Gao ⋅ Yingqian Zhang
PENEX: AdaBoost-Inspired Neural Network Regularization
Klaus-Rudolf Kladny ⋅ Bernhard Schölkopf ⋅ Michael Muehlebach
Perception for Action in Latent World Models
Petr Ivashkov ⋅ Randall Balestriero ⋅ Bernhard Schölkopf
Personalized Safety in Federated Fine-Tuning of Large Language Models
Tianzhe Xiao ⋅ Gaozhuo Liu ⋅ Yichen Li ⋅ Haozhao Wang ⋅ Hanlin Cai ⋅ Ruixuan Li ⋅ Ozgur Akan
PE-SHAP: Causally Interpretable Path-Wise Shapley Explanations
Maksym Buleshnyi ⋅ Joshua Loftus ⋅ Sakina Hansen
POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles
Nicolas Menet ⋅ Andreas Krause ⋅ Abbas Rahimi
Polar Transformers: $SO(2)^K$-Equivariant Angular Attention for Cryo-EM Image-Set Processing
Joakim Andén ⋅ Justus Sagemüller
Positional Encoding Is All You Need For Scalable Equivariance Constraint Relaxation
Hagay Michaeli ⋅ Haggai Maron ⋅ Daniel Soudry
Prediction-Intervention Games and Invariant Sets
Linus Kühne ⋅ Felix Schur ⋅ Jonas Peters
Preference-Guided Adversarial Policy Optimization for Long-Tail Robust Driving
Tong Nie ⋅ Yihong Tang ⋅ Junlin He ⋅ Yuewen Mei ⋅ Jie Sun ⋅ Lijun Sun ⋅ Wei Ma ⋅ Jian Sun
Private Prediction via Shrinkage
Chao Yan
ProSearch: Benchmarking Multi-Constraint Protocol Retrieval in Experimental Science
Wenliang Liang ⋅ Zhiyuan Ning ⋅ Haolin Chen ⋅ Yuanchun Zhou ⋅ Wenjuan Cui ⋅ Yi Du
Provable State Estimation with Recurrent Models
Vincent Andrieu ⋅ Pauline Bernard ⋅ Lucas Brivadis ⋅ Laurent Praly ⋅ Christian Wolf
Pure Exploration Beyond Reward Feedback: The Role of Post-Action Context
Mohammad Shahverdikondori ⋅ Amir Mohammad Abouei ⋅ Alireza Rezaeimoghadam ⋅ Negar Kiyavash
QMaxCal: Path-Space Regularization for Open Quantum Control via Girsanov's Theorem
Merijn Moody ⋅ Zier Mensch ⋅ Miranda Cheng ⋅ Peter G Bolhuis ⋅ Max Welling
Qrita: High-performance Top-k and Top-p using Pivot-based Truncation and Selection
Jongseok Park ⋅ Sunga Kim ⋅ Alvin Cheung ⋅ Ion Stoica
Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime
Albert Alcalde ⋅ Leon Bungert ⋅ Konstantin Riedl ⋅ Tim Roith
Quantizing With Randomized Hadamard Transforms: Efficient Heuristic Now Proven
Ran Ben-Basat ⋅ William Kuszmaul ⋅ Michael Mitzenmacher ⋅ Amit Portnoy ⋅ Shay Vargaftik
Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation
Erik Großkopf ⋅ Soumya Snigdha Kundu ⋅ Hendrik Möller ⋅ Nicolas Münster ⋅ Mehdi Astaraki ⋅ Paula T Buzduga ⋅ Kerstin Ritter ⋅ Benedikt Wiestler ⋅ Jan Kirschke ⋅ Jonathan Shapey ⋅ Tom Vercauteren ⋅ Florian Kofler
Referring and Reasoning Camouflaged Object Segmentation in Audio-Visual Scenes
Tianxin Han ⋅ Qing Dong ⋅ Xingwei Wang ⋅ Jie Jia
Reflected Schrödinger Bridge Matching
Marcus Häggbom ⋅ Viktor Nilsson ⋅ Pierre Nyquist ⋅ Joakim Andén
Reinforced Evidence-Aware Long Video Understanding
Yuan Xie ⋅ Tianshui Chen ⋅ Deyu Zhou ⋅ Lionel Ni
Residual Expertise Is Not Decision Value
Nidhish Shah ⋅ Shaurjya Mandal ⋅ Asfandyar Azhar
Rethinking Attention in Depth for Operator Learning
Jaehyeon Lee ⋅ Kiwon Um ⋅ JungHyun Han ⋅ Min-Koo Kang
Rethinking Expressivity and Efficiency in Test-Time Training
Zeyun Zhong ⋅ Joya Chen ⋅ Manuel Martin ⋅ Frederik Diederichs ⋅ Jürgen Gall ⋅ Jürgen Beyerer
Rethinking Layer-wise Model Merging through Chain of Merges
Pietro Buzzega ⋅ Riccardo Salami ⋅ Angelo Porrello ⋅ SIMONE CALDERARA
Retrieval from Within: An Intrinsic Capability of Attention-Based Models
Elad Hoffer ⋅ Yochai Blau ⋅ Edan kinderman ⋅ Ron Banner ⋅ Daniel Soudry ⋅ Boris Ginsburg
Robust Flow Matching under Target Corruption and Label Noise
Mert Can Kurucu ⋅ Erik Englesson ⋅ Hossein Azizpour
RoSA: Rotational Sparse Adaptation for Memory-Efficient Fine-Tuning
Muhammad Azeem Lodhi ⋅ chao zhou ⋅ Rebekka Burkholz
Routing Subspaces: Auditing Evaluation-to-Deployment Mismatch in Fine-Tuned Language Models
Phongsakon Mark Konrad ⋅ Toygar Tanyel ⋅ Serkan Ayvaz
ScrapeGraphAI-100k: Dataset for Schema-Constrained LLM Generation
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Semantic Motion Anchors: Bridging Motion and Meaning in Co-Speech Gestures
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Solving Stochastic Control under Multiplicative and Internal Noise via Constrained Optimization
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Sparse Attention as Compact Kernel Regression
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Submodular Multi-Agent Reinforcement Learning for Effective Online Distributed Task Allocation
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The BV4 Benchmark for Unsupervised Anomaly Detection in High-Dimensional Spectral Data Streams
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Session
7:00 PM - 7:30 PM
Invited Talk
8:30 PM - 9:30 PM

Modern Artificial intelligence has progressed under extraordinary abundance: substantial capital, energy and compute, massive model architectures and datasets. These conditions have shaped the systems we have built but have also defined how we measure success. Impressive models that are meant to generalise fail in low resource environments, so what is there to do about it?

At Lelapa AI, we develop speech recognition technology for multilingual environments where people routinely mix languages within a single conversation, training data is scarce and compute is constrained. This work exposes two important questions: how well do conventional metrics such as word error rate reflect human judgements of transcription quality? And when can smaller, more efficient models, trained on the right data, outperform larger general-purpose systems on real-world tasks?

These questions challenge assumptions about both how we evaluate AI and what it takes to build capable systems. Constraints are not simply obstacles to overcome; they can reveal weaknesses in established methods and open new directions for model development. As AI cannot establish on its own what counts as good. As capabilities and access to compute continue to evolve, the lessons from building under constraint remain valuable: they help us distinguish genuine progress from progress measured by imperfect proxies, and identify what it will truly take to scale.

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Speaker Bio
Pelonomi Moiloa
Pelonomi Moiloa is the CEO and founder of Lelapa AI, a company building the world’s most efficient language infrastructure. With a background in electrical and biomedical engineering, she leads Lelapa’s mission to unlock the digital economies of the Global South, starting in Africa, by developing scalable, locally optimised language AI for constrained environments and pioneering more efficient modelling techniques for the world at large. She has been recognised as one of TIME’s 100 Most Influential People in AI, a Bloomberg Catalyst, a Mozilla Rise 25 Award recipient as well as Forbes Africa 30 under 50. She is also a TED speaker, known for her insights on SLMs and human centric AI. Before founding Lelapa AI, Pelonomi worked at the intersection of finance, data science, and machine learning, applying technology to large-scale systems challenges. She also serves as a trustee of a girls’ scholarship fund and a director of a community-based nonprofit. https://womenaibuilders.org/top-100-women-in-ai
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Session
8:30 PM - 10:00 PM
Poster
9:30 PM - 11:30 PM
213 Events in this session
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DiLaDiff: Distilled Latent-augmented Diffusion for Language Modeling
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DNS-Calibrated Local Stochastic Transition Closure for PDE-Free Long-Horizon Turbulence Diffusion
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DynaSub: Adaptive Subgrouping for Scalable Representation Learning
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Ensemble Distributionally Robust Bayesian Optimisation
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Entropy-Gated Latent Recursion
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Abed Razawy ⋅ Valentina Masarotto ⋅ Dirk van der Hoeven
In-Context Learning for Remote Sensing Vision: A Semantic-Aware Rotation-Robust Diffusion Framework
jing geng ⋅ Chuanlong Zhang ⋅ Jiayi Su ⋅ Wencheng Han
Inference-Time Refinement Closes the Synthetic-Real Gap in Tabular Diffusion
Eugenio Lomurno ⋅ Filippo Balzarini ⋅ Francesco Benelle ⋅ Francesca Pia Panaccione ⋅ Matteo Matteucci
Instability of Meta-Learning Intrinsic Rewards for Policy Gradient Reinforcement Learning
Dilith Jayakody ⋅ Domenic Rosati ⋅ Janarthanan Rajendran
Integrating Local and Global Entropy for Uncertainty Quantification in LLMs
Johanne Medina ⋅ Tianyi Zhou ⋅ Keivin Isufaj ⋅ Aristides Gionis ⋅ Sanjay Chawla
Interpretability-by-Design with Accurate Locally Additive Models and Conditional Feature Effects
Vasilis Gkolemis ⋅ Loukas Kavouras ⋅ Dimitrios Kyriakopoulos ⋅ Konstantinos Tsopelas ⋅ Dimitrios Rontogiannis ⋅ Giuseppe Casalicchio ⋅ Theodore Dalamagas ⋅ Christos Diou
Interpretable Machine Learning Evaluates Differential Therapy Effects in Parkinsonian Gait
Artur Chudzik ⋅ Henryk Josiński ⋅ Andrzej Przybyszewski
It's All Training: A Fully Synthetic Single-Stage Recipe for LLMs
Pierre-Carl Langlais ⋅ Pieter Delobelle ⋅ Yannick Detrois ⋅ Pavel Chizhov ⋅ Carlos Rosas-Hinostroza ⋅ Neil S Smail ⋅ Benjamin Burtin ⋅ Hanna Shcharbakova ⋅ Ivan Yamshchikov ⋅ Anastasia Stasenko
JaSpec-LID: Local Intrinsic Dimension Estimation via Jacobian Spectra of ODE-based Generative Models
Hiro Ishii ⋅ GENKI OSADA
JEPAWG: Interpretable Hypernetworks for Weight-Space Physics
Tobias Göbel ⋅ Julian R Ebelt ⋅ Zier Mensch ⋅ Mathis Gerdes ⋅ Miranda Cheng
KINDER: Kernel-based Independence for Fair Representation Learning via Prototype-space Erasure
Abtin Mogharabin ⋅ Jiaee Cheong ⋅ Alp Toykan Kaplan ⋅ Sinan Kalkan
LAtte: Hyperbolic Lorentz Attention for Joint-Subject EEG Classification
Ahmad Bdeir ⋅ Johannes Burchert ⋅ Tom Hanika ⋅ Lars Schmidt-Thieme ⋅ Niels Landwehr
Learning Global Probabilistic Explanations
Frederic Koriche ⋅ Louenas Bounia
Learning Reusable Options by Decomposing Neural Policies
Parnian Behdin ⋅ Reza Abdollahzadeh ⋅ Kiarash Aghakasiri ⋅ Levi Lelis
Learning to Bid in Repeated Second-Price Auctions with Dynamic Values and Aggregated Feedback
Benjamin Heymann ⋅ Otmane Sakhi
Learning to Drive in New Cities Without Human Demonstrations
Zilin Wang ⋅ Saeed Rahmani ⋅ Daphne Cornelisse ⋅ Bidipta Sarkar ⋅ Alexander D. Goldie ⋅ Jakob Foerster ⋅ Shimon Whiteson
Learning to Learn from Multimodal Experience
Xingyu Sui ⋅ Weixiang Zhao ⋅ Yongxin Tang ⋅ Yanyan Zhao ⋅ Yang Wu ⋅ Dandan Tu ⋅ Bing Qin
Length Generalization for Transformers via Compression
Georg Zetzsche ⋅ Hongjian Jiang ⋅ Andy J Yang ⋅ Pascal Bergsträßer ⋅ Marco Sälzer ⋅ David Chiang ⋅ Anthony Widjaja Lin
LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
Lucas Maes ⋅ Quentin Le Lidec ⋅ Damien Scieur ⋅ Yann LeCun ⋅ Randall Balestriero
Liars' Bench: Evaluating Lie Detectors for Language Models
Kieron Kretschmar ⋅ Walter Laurito ⋅ Sharan Maiya ⋅ Samuel Marks
Listening to the Retriever: Perturbation-Sensitive Question Selection for Interactive Person Retrieval
Yunhui Shao ⋅ Yang Bai ⋅ Shuai You ⋅ Bin Yang ⋅ Jie Qiao ⋅ Min Cao ⋅ Mang Ye
Long-Range Spatio-Temporal Graph Propagation Through Oscillations
Alessio Gravina ⋅ Alessandro Trenta ⋅ Tai Hoang ⋅ Andrea Ceni ⋅ Gerhard Neumann ⋅ Davide Bacciu
LSC-Parlament: An Automatically Aligned Catalan Sign Language Dataset from Parliament Videos.
Carlos Escolano ⋅ Gerard Sant ⋅ Marc J Garcia ⋅ Joan G Cortés ⋅ Marcel Granero Moya ⋅ Francesca De Luca Fornaciari ⋅ Maite Melero
Market-Based Runtime Resource Allocation for LLM Multi-Agent Systems
Yixue Huang ⋅ Mingxin Wang ⋅ Hao Li ⋅ Hao Jiang
Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference
Jasraj Singh ⋅ Shelvia Wongso ⋅ Jeremie Houssineau ⋅ Badr-Eddine Cherief-Abdellatif
MedFlowSeg: Flow Matching for Medical Image Segmentation with Frequency-Aware Attention
Zhi Chen ⋅ Runze Hu ⋅ Le Zhang
MedZERO: Self-Evolving Agents for Open-Ended Medical Reasoning Through Controlled Knowledge Accumulation
Xilin Dang ⋅ Weilin Ruan ⋅ Xue Yang ⋅ Jinghao Wang ⋅ Xiaowei Hu ⋅ Jinpeng Li ⋅ Pheng-Ann Heng
Memoir: Let the Model Direct Its Own Story for Robust Cross-Domain Knowledge Editing
Jea Kwon ⋅ Jiwon Kim ⋅ Dong Kyum Kim ⋅ Meeyoung Cha
Minimax Private Estimation of Smooth Optimal-Transport Maps
Clément Lalanne ⋅ David Rodríguez-Vítores ⋅ Franck Iutzeler ⋅ Jean-Michel Loubes
Mining Logic under Uncertainty: Probabilistic Soft Logic with Energy-Based Inference for Chain-of-Thought Verification
Jiang Yu ⋅ Jinlong Tian ⋅ Kewei Cheng ⋅ Yue He ⋅ Haoxuan Li ⋅ Haotian Wang ⋅ Yunhai Wang ⋅ Wenjing Yang ⋅ Zhouchen Lin ⋅ Shixuan Liu
Mixed-Curvature Geometric Latent Diffusion Model for Graph Generation
Minxue Qi ⋅ Xian Yang ⋅ Liang Bai
Models That Know How Evaluations Are Designed Score Safer
Katharina Deckenbach ⋅ Haritz Puerto ⋅ Jonas Geiping ⋅ Sahar Abdelnabi
MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
Alan Arazi ⋅ Eilam Shapira ⋅ Shoham Grunblat ⋅ Mor Ventura ⋅ Elad Hoffer ⋅ Gioia Blayer ⋅ David Holzmüller ⋅ Lennart Purucker ⋅ Gael Varoquaux ⋅ Frank Hutter ⋅ Roi Reichart
Nautilus: From One Prompt to Plug-and-Play Robot Learning
Yufeng Jin ⋅ Jianfei Guo ⋅ Xiaogang Jia ⋅ Yu Deng ⋅ Steven Li ⋅ Han Liu ⋅ Weiran Liao ⋅ Vignesh Prasad ⋅ Mathias Franzius ⋅ Gerhard Neumann ⋅ Georgia Chalvatzaki
Near-Optimal Stochastic Linear Bandits with Delay
Ofir Schlisselberg ⋅ Mengxiao Zhang ⋅ Yishay Mansour
NeRFix: fixing subtle mistakes in the quadrature of the NeRF volumetric integral
Luca Savant Aira ⋅ Diego Valsesia ⋅ Enrico Magli
Neural Chameleons: Language Models Can Learn to Hide Their Thoughts from Unseen Activation Monitors
Max McGuinness ⋅ Alex Serrano Terre ⋅ Luke Bailey ⋅ Scott Emmons
Neural Fourier Transform for Multiple Time Series Prediction
Noam Koren ⋅ Daniel Freedman ⋅ Kira Radinsky
Neuromodulated Constrained Autoencoders for Context-Dependent Manifold Learning
Jérôme Adriaens ⋅ Gustave Bainier ⋅ Guillaume Drion ⋅ Pierre Sacré
Not Another Text Benchmark: Putting the “Visual" Back in Visual Question Answering for Large Video Models
Rwiddhi Chakraborty ⋅ Yinong O Wang ⋅ Cheng Zhang ⋅ Fan Bai ⋅ Zhuoran Yu ⋅ Michael Kampffmeyer ⋅ Yong Jae Lee ⋅ Fernando D De la Torre ⋅ Robert Jenssen
NTK Regression under dual power-law model: Deterministic Equivalents via SDE and PDE Methods
Collin Cranston ⋅ Zhichao Wang ⋅ Todd Kemp
Off-Policy Evaluation of Large Language Models via Learned Semantic Bottleneck Embeddings
Younwoo Choi ⋅ Hadi Sheikhi ⋅ Leo Feng ⋅ Haanvid Lee
OneVision-Encoder: Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence
feilong tang ⋅ Xiang An ⋅ Yunyao Yan ⋅ Yin Xie ⋅ Kaicheng Yang ⋅ Yifei Shen ⋅ Yuanhan Zhang ⋅ Shikun Feng ⋅ Chunyuan Li ⋅ Changrui Chen ⋅ Huajie Tan ⋅ Ming Hu ⋅ Manyuan Zhang ⋅ Bo Li ⋅ Ziyong Feng ⋅ Ziwei Liu ⋅ Zongyuan Ge ⋅ Jiankang Deng
One World, Dual Timeline: Decoupled Spatio-Temporal Gaussian Scene Graph for 4D Cooperative Driving Reconstruction
Yulong Chen ⋅ Xiaoyun Dong ⋅ Haoyu Zhang ⋅ Zongxian Yang ⋅ Lewei Xie ⋅ Xinke Li ⋅ Yifan Zhang ⋅ Kai Wang ⋅ Jianping Wang
On objective mismatch in molecular retrieval from tandem mass spectrometry
Gaetan De Waele ⋅ Marek Wydmuch ⋅ Krzysztof Dembczynski ⋅ Wojciech Kotlowski ⋅ Willem Waegeman
On Rate-Optimal Partitioning Classification from Observable and from Privatised Data
Balázs Cs. Csáji ⋅ László Györfi ⋅ Ambrus Tamás ⋅ Harro Walk
On the Pitfalls of Instance-Based Dynamic Curricula
Alexandre Galashov ⋅ Amal Rannen-Triki ⋅ Yee Whye Teh ⋅ Razvan Pascanu ⋅ András György
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies
Ignacio D. Lopez-Miguel ⋅ Ezio Bartocci ⋅ Thomas Eiter ⋅ Martin Tappler
Outcome-Based RL Provably Leads Transformers to Reason, but Only With the Right Data
Yuval Ran-Milo ⋅ ‪Yotam Alexander‬‏ ⋅ Shahar Mendel ⋅ Nadav Cohen
OWCE: Revealing Language Model Complementarity via Online Weakness-Conditioned Evaluation
Hankyul Baek ⋅ Jaewon Noh ⋅ Sang Seo ⋅ Sungpil Shin ⋅ Yongsu Kim
PAC-Bayesian Bounds for Learning Partially Observed Stochastic Linear Time-Invariant State-Space Systems with Inputs and Sub-Gaussian Noise
Mihaly Petreczky ⋅ Mohamad Al Ahdab ⋅ John Leth
Performative Prediction with Selective Labels
Giovani Valdrighi ⋅ Isabel Valera ⋅ Marcos M. Raimundo
PhysRemover: A Unified Framework for Physically Realistic Object Removal
Dongxu Yue ⋅ Weixuan Jin ⋅ Yuhang Yu ⋅ Bo Li ⋅ Qi Wen ⋅ Xinrui Chen ⋅ Jinwei Chen ⋅ Tianyi Zheng ⋅ Hao Zhang ⋅ Zhihai He ⋅ Chun Yuan
Position: Let’s Strengthen Verifiability if We Can’t Enforce Reproducibility
Samet Hicsonmez ⋅ Nermin Samet ⋅ Renaud Marlet
Predictive Geometry of Hidden Trajectories in Transformers
Timur Mudarisov ⋅ Mikhail Burtsev ⋅ Tatiana Petrova ⋅ Radu State
Predict-Project-Renoise: Sampling Diffusion Models under Hard Constraints
Omer Rochman Sharabi ⋅ Gilles Louppe
Prefill-Guided Trace Allocation for Sample-Efficient Test-Time Scaling
Zhi Yao ⋅ Zhiqing Tang ⋅ Hanshuai Cui ⋅ Qianli Ma ⋅ Fanshuai Meng ⋅ Weijia Jia
Principled Federated Random Forests for Heterogeneous Data
Rémi Khellaf ⋅ Erwan Scornet ⋅ Aurélien Bellet ⋅ Julie Josse
PRISM: Polarimetric Road-surface Intelligent Sensing and Measurement Dataset
Minseo Jung ⋅ Chanwoo Kim ⋅ Donggue Kim ⋅ Hyunjun Kim ⋅ Jeongwoo Park ⋅ Kichun Jo
Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction
Siddharth Chaini ⋅ federica bianco ⋅ Ashish Mahabal
Probing for Representation Manifolds in Superposition
Alexander Modell
Probing Persona-Dependent Preferences in Language Models
Oscar Gilg ⋅ Pierre Beckmann ⋅ Daniel Paleka ⋅ Patrick Butlin
ProgramBench: Can Language Models Rebuild Programs From Scratch?
John Yang ⋅ Kilian Lieret ⋅ Jeffrey Ma ⋅ Parth Thakkar ⋅ Dmitrii Pedchenko ⋅ Sten Sootla ⋅ Emily McMilin ⋅ Pengcheng Yin ⋅ Rui Hou ⋅ Gabriel Synnaeve ⋅ Diyi Yang ⋅ Ofir Press
Progressive Signal Calibration for Medical Image Segmentation: Diagnosing and Correcting Structural Misalignment in Training Signals
Xinyan Zhao ⋅ Haijing Liu ⋅ Zhuan Cui ⋅ Tian Guan ⋅ Yonghong He ⋅ Wen Tang ⋅ Qiming He
Prune to Protect: Faster Training and Enhanced Privacy by Dynamic Data Pruning
Chinmay Joshi ⋅ Advait Gadhikar ⋅ Celia Rubio-Madrigal ⋅ Aneet Kumar Dutta ⋅ Mridula Singh ⋅ Rebekka Burkholz
PVFormer: Proper Velocity Transformer for Stable and Scalable Hyperbolic Representation Learning
Xianglong Shi ⋅ Nicu Sebe ⋅ Bernhard Schölkopf ⋅ Ziheng Chen
RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy
Mario Koddenbrock ⋅ Christoph Lange ⋅ Robin Legner ⋅ Martin Jaeger ⋅ Martin Kögler ⋅ Mariano N Bournazou ⋅ Peter Neubauer ⋅ Felix Bießmann ⋅ Erik Rodner
Reasoning-Trace Collapse: Evaluating the Loss of Explicit Reasoning During Fine-Tuning
Lukas Twist ⋅ Helen Yannakoudakis ⋅ Jie Zhang
REFORM-3D: A Representation-Centric Evaluation Framework for 3D Medical Vision Foundation Models
Maregu Assefa ⋅ Muhammad Muzammal Naseer ⋅ Divya Velayudhan ⋅ Gedamu Kumie ⋅ Naoufel Werghi
Resilient Byzantine Agreement with Predictions
Julien Dallot ⋅ Darya Melnyk ⋅ Tijana Milentijević ⋅ Stefan Schmid ⋅ Patrik Welters
Retrieve-then-Rerank Inference for Vocabulary-Based End-to-End Driving
Hyunjun Kim ⋅ Donggue Kim ⋅ Kichun Jo
Revisiting Cross-View Completion: Self-Supervised Pre-Training via Reconstruction Error Comparison
Thibaut Loiseau ⋅ Guillaume Bourmaud ⋅ Vincent Lepetit
Reviving the Discarded High-Resolution Feature for Transformer-Based Tiny Object Detection
Zehao Wang ⋅ Si Wu ⋅ GUIPING CAO ⋅ Xin Li ⋅ Yaowei Wang
RL-Guided Contraction of Symbolic Tensor Networks for Quantum Circuit Equivalence
Suhaib Al-Rousan ⋅ Christian Schilling ⋅ Max Tschaikowski ⋅ Kim Larsen
Robust and Scalable Collaborative Learning via Pull-Based Epidemic Communication
Abdellah El Mrini ⋅ Sadegh Farhadkhani ⋅ Rachid Guerraoui
Routers Learn the Geometry of Their Experts: Geometric Coupling in Sparse Mixture-of-Experts
Sagi Ahrac ⋅ Noya Hochwald ⋅ Mor Geva
Safe Offline Reinforcement Learning using Behavior Regularisation and Latent Feasibility-Guidance
Mahesh Keswani ⋅ Parth Bhardwaj ⋅ Ankur Kumar ⋅ Raunak Pushpak Bhattacharyya
Scalable Multi-Agent Contrastive Reinforcement Learning
Victor Augusto Kich ⋅ Satoshi Yamamori ⋅ Jun Morimoto
Scaling Generative Foundation Models for Chest Radiography with Rectified Flow Transformers
Fabio De Sousa Ribeiro ⋅ Emma A.M. Stanley ⋅ Charles Jones ⋅ Tian Xia ⋅ Dominic C Marshall ⋅ Laurent R Triché ⋅ Christopher V Cosgriff ⋅ Panagiotis Dimitrakopoulos ⋅ Sotirios Tsaftaris ⋅ Ben Glocker
Scheming Is a Symptom: Alignment Research Should Probe Reflexive Fragility
Nan Zhang ⋅ Heng Xu
Selectivity and Shape in the Design of Forward-Forward Goodness Functions
Talha Rüzgar Akkuş ⋅ Şuayp T Kocabay ⋅ Kamer A Yuksel ⋅ Hassan Sawaf
Shuffle and Joint Differential Privacy for Generalized Linear Contextual Bandits
Sahasrajit Sarmasarkar
Simplifying Transformer-Based U-Net Neural Physics Simulators
Pietro Sittoni ⋅ Francesco Tudisco
SING-CH: Task-Scale-Agnostic Lifelong Cross-Modal Hashing on Statistical Manifolds
Haoran Yang ⋅ Junge Chen ⋅ Jun Long ⋅ Zhan Yang
Smooth Piecewise Cutting for Neural Operator to Handle Discontinuities and Sharp Transitions
Ha Dang ⋅ Sebastian Schmidt ⋅ Jürgen W Hesser
Soft Forward-Backward Representations for Zero-shot Reinforcement Learning with General Utilities
Marco Bagatella ⋅ Thomas Rupf ⋅ Georg Martius ⋅ Andreas Krause
SOPO: Socratic Guided Policy Optimization for Span-Level Hallucination Detection
Jiawei Dong ⋅ Zilong Bai ⋅ Pengtian Zhu ⋅ Peng Zhou
Sparse Video Generation Propels Real-World Beyond-the-View Vision-Language Navigation
Hai Zhang ⋅ Siqi Liang ⋅ Li Chen ⋅ Yuxian LI ⋅ Yukuan XU ⋅ Yichao Zhong ⋅ Fu Zhang ⋅ Hongyang Li
Spectral Quantum Memory for Implicit Neural Representations
Daniel A Moroz-Broitman ⋅ Eliya Nachmani
SPRING: Solver-guided Process Rewards for Novel Logical Reasoning Steps Generation
Muhammad Asif Ali ⋅ Mohammad Raza ⋅ Wenqing Wang ⋅ Huan wang
Stein Transport for Generative Modeling
Clémentine CHAZAL ⋅ Linfeng Wang ⋅ Anna Korba ⋅ Nikolas Nüsken
Super-Level-Set Regression: Conditional Quantiles via Volume Minimization
Sacha Braun ⋅ Michael Jordan ⋅ Francis Bach
Supervised Distributional Reduction via Optimal Transport and Dependence Maximization
Sai-Aakash Ramesh ⋅ Archit Sood ⋅ Andrew Corbett ⋅ Tim Dodwell
Surjective Pseudo-Invertible Neural Networks
Yamit Ehrlich ⋅ Amit Arad ⋅ Nimrod Berman ⋅ Assaf Shocher
SyncLight: Single-Edit Multi-View Relighting
David Serrano-Lozano ⋅ Anand Bhattad ⋅ Luis Herranz ⋅ Jean-Francois Lalonde ⋅ Javier Vazquez-Corral
Target-Budget Best-Function Identification for Scaling-Law-Guided Model Selection
Iurii Dorn
Test-Time Compute Games
Ander Artola Velasco ⋅ Dimitrios Rontogiannis ⋅ Stratis Tsirtsis ⋅ Manuel Rodriguez
Test-Time Personalization: A Diagnostic Framework and Probabilistic Fix for Scaling Failures
Linhai Zhang ⋅ Yulan He
TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection
Tom Sander ⋅ Pierre Fernandez ⋅ Hongyan Chang ⋅ Tomáš Souček ⋅ Sylvestre-Alvise Rebuffi ⋅ Hady Elsahar ⋅ Valeriu Lacatusu ⋅ Alexandre Mourachko ⋅ Tuan Tran
The Benefits of Temporal Correlations: SGD Efficiently Learns k-Juntas from Random Walks
Elisabetta Cornacchia ⋅ Dan Mikulincer ⋅ Elchanan Mossel
The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy
Seyedmorteza Emadi
The Geometry of Linear Program Compression: An Exact Characterization and Learning Algorithm
Yuhan Ye ⋅ Omar Bennouna
The Hidden Power of Scaling Factor in LoRA Optimization
Zicheng Zhang ⋅ Haoran Li ⋅ Jiaxing Wang ⋅ Guoqiang Gong ⋅ Anqi Li ⋅ Yudong Hu ⋅ Ting Xiong ⋅ Yurong Gao ⋅ Junxing Hu ⋅ Zhida Jiang ⋅ Yifeng Zhang ⋅ Pengzhang Liu ⋅ Qixia Jiang
THEIA: A Multimodal Dataset and Benchmark for Vision-Language Analysis of Layout
Giuseppe Chiari ⋅ Michele Piccoli ⋅ Federico Viola ⋅ Davide Zoni
The Labeling Problem in Hallucination Detection Benchmarks: An Empirical Evaluation
Jorma Valjakka ⋅ Juhani Kivimäki ⋅ Juha Mylläri ⋅ Jukka K Nurminen
Theoretical guarantees for Banded Approximations of Gaussian Processes
Omar Kassi ⋅ Bernhard Stankewitz ⋅ Botond Szabo
Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model
Blake Bordelon ⋅ Francesco Mori
The Pareto Frontier of Randomized Learning-Augmented Online Bidding
Mathis Degryse ⋅ Imrane Zaakour ⋅ Christoph Dürr ⋅ Spyros Angelopoulos
The Power of Second Order Methods for Sequence Preconditioning
Annie Marsden ⋅ Elad Hazan
The Sample Complexity of Multiple Change Point Identification under Bandit Feedback
Maximilian Graf ⋅ Victor Thuot
Think about how AIs think about themselves
Raymond Douglas ⋅ Jan Kulveit ⋅ Ondřej Havlíček ⋅ Theia Pearson-Vogel ⋅ David Duvenaud
TIDES: Implicit Time-Awareness in Selective State Space Models
Taylan Soydan ⋅ Miguel Bessa ⋅ Dirk Mohr ⋅ Rui Barreira
Tight $L_\infty$ Sample Complexity for Low-Degree and Sparse Boolean Polynomials
Jasper van Doornmalen ⋅ Mathieu Molina ⋅ Victor Verdugo ⋅ José Verschae
Tight PAC-Bayes Generalisation Guarantees for Large Language Model Safety Monitoring
Tom Lamb ⋅ Philip Torr ⋅ Tim G. J. Rudner
TORNADO: Adaptive Latent Stochastic Transport for Calibrated Probabilistic PDE Forecasting
Jorge Mifsut Benet ⋅ Armand Kassaï Koupaï ⋅ Ramon Daniel Regueiro-espino ⋅ Nicolas Baskiotis ⋅ Patrick Gallinari
Toward Embodied World Agents via Embodied-Planning Dataset and Interactive World Models
Xiaokun Feng ⋅ Junshu Tang ⋅ zeyi lin ⋅ Ling-Hao Chen ⋅ Shuai Shao ⋅ Qinglin Lu ⋅ Kaiqi Huang
Towards Understanding Self-Pretraining for Sequence Classification
Omar Coser ⋅ Loredana Zollo ⋅ Paolo Soda ⋅ Antonio Orvieto
Training-Free Active Test-Time Adaptation for Vision-Language Models
Jihwan Bang ⋅ Sumyeong Ahn ⋅ Hwanjun Song ⋅ Jae-Gil Lee
Transporting the Past: An Optimal Transport View of Backtracking Counterfactuals
Zhangyi Liu ⋅ Sayedpouria Fatemi ⋅ Suvrit Sra
UGGRH: Unsupervised Generative Completion and Graph-attention Refinement for Incomplete Cross-modal Hashing
Yunfei Chen ⋅ Yuchen Zhang ⋅ Hongyu Lin ⋅ Peng Liu ⋅ Zhan Yang
Umbilic Multinomial Logistic Regression
Zihan Su ⋅ Nicu Sebe ⋅ Bernhard Schölkopf ⋅ Ziheng Chen
UncertainGen: Scalable Uncertainty-Aware Representation Learning of DNA Sequences
Abdulkadir Celikkanat ⋅ Andres Masegosa ⋅ Mads Albertsen ⋅ Thomas Nielsen
Understanding diffusion models requires rethinking (again) generalization
Pierre Marion ⋅ Yu-Han Wu
Understanding the Curse of Unrolling
Sheheryar Mehmood ⋅ Florian Knoll ⋅ Peter Ochs
UniPrefill: Universal Long-Context Prefill Acceleration via Block-wise Dynamic Sparsification
Qihang Fan ⋅ Huaibo Huang ⋅ zhiyingwu ⋅ Bingning Wang ⋅ Ran He
UniVR: Thinking in Visual Space for Unified Visual Reasoning
Zhongwei Ren ⋅ Yunchao Wei ⋅ Yao Zhao ⋅ GONG WEIBO ⋅ Xiao Liu ⋅ Anran Wang ⋅ Xiangtai Li ⋅ Xiaojie Jin
Validating Causal Abstraction Metrics on Simulated Complex Systems
Maxime Méloux ⋅ Tiago Pimentel ⋅ François Portet ⋅ Maxime Peyrard
Virtual-Flow: Virtual Microphone-based Speech Enhancement via Unsupervised Flow Matching
Dongheon Lee ⋅ Ashutosh Pandey ⋅ Sanjeel Parekh ⋅ Zhaoheng Ni ⋅ Daniel D Wong ⋅ Jacob Donley ⋅ Buye Xu ⋅ Juan Azcarreta
What DNA Foundation Models Learn Beyond Sequence Composition
Vincenzo Y. Civale ⋅ Andrew Bagdanov ⋅ Alberto Magi
What to Predict for Efficient Scheduling on Parallel Machines
Evripidis Bampis ⋅ Bruno Escoffier ⋅ Dimitris Fotakis ⋅ Giorgos Mitropoulos ⋅ Michalis Xefteris
When Streaming Fails: Dynamic Algorithms for Unconstrained Submodular Maximization
Kiarash Banihashem ⋅ MohammadTaghi Hajiaghayi ⋅ Peyman Jabbarzade ⋅ Samira Goudarzi ⋅ Morteza Monemizadeh
When to Align, When to Predict: A Phase Diagram for Multimodal Learning
Ilay Kamai ⋅ Hugues Van Assel ⋅ Aviv Regev ⋅ Hagai B Perets ⋅ Randall Balestriero
World-Model-Inspired Flicker State Modeling for Burst Flicker Removal
Bowen Tang ⋅ Tao Wang ⋅ Xin Yu ⋅ Wenhan Luo ⋅ Kaihao Zhang ⋅ Bo Li ⋅ Min zhang
X2HDR: HDR Image Generation in a Perceptually Uniform Space
Ronghuan Wu ⋅ Wanchao Su ⋅ Kede Ma ⋅ Jing Liao ⋅ Rafal Mantiuk
ZEBRA: Zero-shot Budgeted Resource Allocation for LLM Orchestration
May Hamri ⋅ Inbal Talgam-Cohen
Zero-Shot Burst Restoration via Diffusion MAP Inference with Poisson-Gaussian Noise Likelihood
Ziyao Yi ⋅ Luca Savant Aira ⋅ Diego Valsesia ⋅ Tiziano Bianchi ⋅ Enrico Magli
Zero-Shot Quantization via Weight-Space Arithmetic
Daniele Solombrino ⋅ Antonio Andrea Gargiulo ⋅ Alessandro Zirilli ⋅ Luca Zhou ⋅ Robert Adrian Minut ⋅ Emanuele Rodolà
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11:30 PM - 1:00 AM