NeurIPS 2026 Wednesday 12/9

$\delta$-Mem: : Efficient Online Memory For Large Language Models

Jingdi Lei ⋅ Di Zhang ⋅ Junxian Li ⋅ Weida Wang ⋅ Kaixuan Fan ⋅ Xiang Liu ⋅ Qihan Liu ⋅ Xiaoteng Ma ⋅ Baian Chen ⋅ Soujanya Poria

3D-VITAL: Visibility-aware Identity Training from Artificial Liftings of 3D Reconstruction model for Cross-View Object Re-Identification

William Grolleau ⋅ Astrid Sabourin ⋅ Guillaume Lapouge ⋅ Catherine Achard

Achieve Latency-Efficient Temporal-Coding Spiking LLMs via Discretization-Aware Conversion

Jinjie Fang ⋅ Tianxing Man ⋅ Xiao Du ⋅ Chengxun Jin ⋅ Haozhen Zhang ⋅ Yi Chang ⋅ Bin Gu

Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights

Jixiang Qing ⋅ Henry Moss ⋅ Matthias Sachs

Active Probabilistic Reasoning in Humans and LLMs

Gonçalo Guiomar ⋅ Elia Torre ⋅ Pehuen Moure ⋅ Victoria Shavina ⋅ Mario Giulianelli ⋅ Shih-Chii Liu ⋅ Valerio Mante

AdaCubic: An Adaptive Cubic Regularization Optimizer for Deep Learning

Ioannis Tsingalis ⋅ Constantine Kotropoulos ⋅ Corentin Briat

Adaptive Realizable Regression from Two Online Learners

Dirk van der Hoeven

Adaptive Scheduling Pipeline For Multi-Instance Asynchronous Reinforcement Learning

Salah Chikhi ⋅ Luis H Ruiz ⋅ Entong Li ⋅ Li Zeng

A General Concept-based Decomposition for Vision–Language Embeddings

Simone Alberto Peirone ⋅ Ortal Senouf ⋅ Francesca Pistilli ⋅ Giuseppe Averta ⋅ Pascal Frossard

AgentCBO: Causal Belief Routing for Bayesian Optimization under Unknown Graphs

Qiyu Wei ⋅ Xin Zhang ⋅ Richard Allmendinger ⋅ Mauricio A Álvarez

A Grid Efficient Transport Optimization Model for the Wasserstein Barycenter Problem

Gennaro Auricchio ⋅ Massimiliano Ghiotto ⋅ Stefano Gualandi

A Hierarchical World Model for Driving

Sudhanshu Mittal ⋅ Arian Mousakhan ⋅ Silvio Galesso ⋅ Karim Farid ⋅ Johannes Dienert ⋅ Rajat Sahay ⋅ Thomas Brox

Aligned LoRA Updates via Intrinsic Geometry for Federated Low-Rank Adaptation

Yihao Yang ⋅ Jian Liang ⋅ Wenke Huang ⋅ He Li ⋅ Xingyu Gao ⋅ Mang Ye

Aligning Language Model Benchmarks with Pairwise Preferences

Marco Gutierrez ⋅ Xinyi Leng ⋅ Hannah Chen ⋅ Jonathan Richard Schwarz ⋅ Ahmed Alaa ⋅ Tom Hartvigsen

AmaraSpatial-10K: A Spatially and Semantically Aligned 3D Dataset for Spatial Computing and Embodied AI

Mohammadsadegh Salehi ⋅ Alexander J Perkins ⋅ Igor P Maurell ⋅ Ashkan Dabbagh ⋅ Raymond Wong

A method to automatically discover symbolic local learning rules

Andrea Perin ⋅ Fabio Anselmi ⋅ Stephane Deny

Amortized Linear-time Exact Shapley Value for Product-Kernel Methods

Majid Mohammadi ⋅ Siu Lun (Alan) Chau ⋅ Krikamol Muandet

Anchor PCA

Benedikt Seiter ⋅ Anya Fries ⋅ Julius von Kügelgen ⋅ Jonas Peters

Approximate Bayesian inference with exchangeable distributions for neurosymbolic AI

Lennert De Smet

A Reproducible Evaluation Protocol for Quantum Non-Linearity in Variational Quantum Models

Pavel Sulimov ⋅ Claude Lehmann

ASO Atlas 2.0: Evaluating antisense oligonucleotide prediction across the preclinical pipeline

Barney Hill ⋅ Nicola Whiffin ⋅ Carlo Rinaldi ⋅ Stephan J Sanders

A Theory of Online Learning with Autoregressive Chain-of-Thought Reasoning

Idan Mehalel ⋅ Ilan Doron-Arad ⋅ Elchanan Mossel

Auditing AI peer reviewers: a dose-response and false-positive benchmark on real scientific papers

Íñigo Zubeldia ⋅ Boris Bolliet ⋅ Francisco Villaescusa ⋅ Pablo Villanueva-Domingo ⋅ Miles Cranmer

Auditing Attention Head Masking for Out-of-Distribution Detection: Cross-Architecture Wins, Failures, and Polarity Inversions

Vishnu Bindu Balachandran

AuGhostmentation: The Eyes Never Stand Still—$\textit{Why Should CNNs?}$

Emirhan Inan ⋅ Suayb Arslan

A Unified Framework for Uniform-Price Resource Allocation Mechanisms

Ioannis Caragiannis ⋅ Dimitris Fotakis ⋅ Stratis Skoulakis

Automatic Constraint Policy Optimization based on Continuous Constraint Interpolation Framework for Offline Reinforcement Learning

Xinchen Han ⋅ Qiuyang Fang ⋅ Hossam Afifi ⋅ Michel Marot

Automatic Textbook Formalization

Fabian Gloeckle ⋅ Ahmad Rammal ⋅ Charles Arnal ⋅ Remi Munos ⋅ Vivien Cabannes ⋅ Gabriel Synnaeve ⋅ Amaury Hayat

Bellman Contraction under MMD: A Unified Framework

Baptiste Debes ⋅ Tinne Tuytelaars

Benchmarking sequence-to-ensemble predictors on UNICORNEdb, a UniProt-grouped database of PDB-derived conformational ensembles

William F Vanderbilt-Fried ⋅ Luka Butskhrikidze ⋅ Benjamin P Brown ⋅ Hassane Mchaourab ⋅ Carlos Oliver

Beyond Modality Fusion: Deep Ensembles for Multimodal Classification

Ilya Burenko ⋅ Dmitry Vetrov

Beyond the Half Approximation: Fair and Efficient Online Class Matching

Sander Borst ⋅ Max Springer

Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations

bochao liu ⋅ Zhipeng Qian ⋅ yang zhao ⋅ Xinyuan Jiang ⋅ Zihan Liang ⋅ Yufei Ma ⋅ Junpeng Zhuang ⋅ Ben Chen ⋅ Shuo Yang ⋅ Hongen Wan ⋅ Yao Wu ⋅ Chenyi Lei

BIAS-ID: A Framework for Analyzing Transformation Biases in AI-Generated Image Detectors

Jonas Ricker ⋅ Asja Fischer ⋅ Erwin Quiring

Black-Box Followers, White-Box Leaders: Partial Zeroth-Order Methods for MPECs

Miriam Fischer ⋅ Dario Paccagnan

Boosting Brain-to-Image Decoding with TRIBE v2 Data Augmentation

Yohann Benchetrit ⋅ Marlene Careil ⋅ Simon Dahan ⋅ Hubert Banville ⋅ Stéphane d'Ascoli ⋅ Jean-Remi King

Boundary-Induced Forgetting in Large Language Model Tool Chains: Measuring Field-Routing Failures

Zhangyi Wang ⋅ Bingnan Yu ⋅ Zongze Li

Bug or Feature$^2$: Weight Drift, Activation Sparsity, and Spikes

Egor Shvetsov ⋅ Aleksandr Serkov ⋅ Shokorov Viacheslav ⋅ Redko Dmitry ⋅ Vladislav Goloshchapov ⋅ Evgeny Burnaev

Can an LLM Reason Like a Lawyer? Benchmarking the ability of LLMs to map the facts of a case to the elements of the applicable legal rule

Shounak Paul ⋅ Seungeon Lee ⋅ Christoph Engel ⋅ Krishna Gummadi

Causal Evaluation of Membership Inference Attacks

Mathieu Even ⋅ Clément Berenfeld ⋅ Linus Bleistein ⋅ Tudor Cebere ⋅ Julie Josse ⋅ Aurélien Bellet

Causal Gradient Steering: Exposing Shortcut Gradients by Destroying Causal Signal

Ahmed Radwan ⋅ Ahmad Abdel-Qader ⋅ Mahmoud Soliman ⋅ Omar Abdelaziz ⋅ Ahmed Elgazwy ⋅ Shan Du ⋅ Mohamed Shehata

Causal pieces: analysing and improving spiking neural networks piece by piece

Dominik Dold ⋅ Philipp Petersen

Certified Single-Level Reformulation for Tri-Level Cyber-Physical Grid Security

Debraj Banerjee ⋅ Gurunath Gurrala ⋅ Kunal Narayan Chaudhury

Characterizing the Edge of Stability in Variational Training Without Priors

Juraj Marusic ⋅ Jonathan Wenger ⋅ Beau Coker ⋅ John Cunningham

CLoSeR: Closing the Loop for Long-Context Streaming Reconstruction

Moyang Li ⋅ Zihan Zhu ⋅ Wei Zhang ⋅ Marc Pollefeys ⋅ Daniel Barath

Clustered Randomized Smoothing for Stochastic Prediction Functions

Eduardo Figueiredo ⋅ Frederik B Mathiesen ⋅ Julian F Schumann ⋅ Jens Kober ⋅ Arkady Zgonnikov ⋅ Luca Laurenti

Competing Event Models: Next Event Prediction Under Interventions

Yoav Wald ⋅ Xiang Gao ⋅ Sumit Chopra ⋅ Juho Lee ⋅ Rajesh Ranganath

ContextShift: A Controlled Benchmark for Context Dependence in Object Detection

Dan Zlotnikov ⋅ Alex Lazarovich ⋅ Ohad Ben-Shahar

Convergence Guarantees for Federated SARSA with Local Training and Heterogeneous Agents

Paul Mangold ⋅ Eloïse Berthier ⋅ Eric Moulines

Correct but Unselectable: The Hidden Interface Tax in Multi-Candidate Reasoning

Qianli Ma ⋅ Zhiqing Tang ⋅ Fanshuai Meng ⋅ Zhi Yao ⋅ Hanshuai Cui ⋅ Weijia Jia

CroissantMiner: Automated Extraction and Validation of Croissant Metadata for ML Datasets

Berke Arda ⋅ Mubashara Akhtar ⋅ Ahmetcan Yavuz ⋅ Paul Gerry ⋅ Sebastian Lobentanzer ⋅ Nobin Sarwar ⋅ Joan Giner-Miguelez ⋅ Kongtao Chen ⋅ Luyao Zhang ⋅ Mrinmaya Sachan

Crowded in B-Space: Calibrating Shared Directions for LoRA Merging

Yixuan Tang ⋅ Yi Yang

Diff-CA: Separating Common and Salient Factors with Diffusion Models

Michaël Soumm ⋅ Alexandre Fournier Montgieux ⋅ Yunlong HE ⋅ Pietro Gori ⋅ Alasdair Newson

Diffusion fine-tuning with Rewarded Moment Matching Distillation

Alexis Jacq ⋅ Guillaume Couairon ⋅ Quentin Berthet ⋅ Valentin De Bortoli ⋅ Arnaud Doucet ⋅ Romuald Elie

DINOv3

Oriane Siméoni ⋅ Huy Vo ⋅ Maximilian Seitzer ⋅ Federico Baldassarre ⋅ Maxime Oquab ⋅ Cijo Jose ⋅ Vasil Khalidov ⋅ Marc Szafraniec ⋅ Seung Eun Yi ⋅ Michaël Ramamonjisoa ⋅ Francisco Massa ⋅ Daniel Haziza ⋅ Luca Wehrstedt ⋅ Jianyuan Wang ⋅ Timothée Darcet ⋅ Théo Moutakanni ⋅ Leonel Sentana ⋅ Claire Roberts ⋅ Andrea Vedaldi ⋅ Jamie Tolan ⋅ John Brandt ⋅ Camille Couprie ⋅ Julien Mairal ⋅ Herve Jegou ⋅ Patrick Labatut ⋅ Piotr Bojanowski

Discrete Diffusion Models Exploit Asymmetry to Solve Lookahead Planning Tasks

Itamar Trainin ⋅ Shauli Ravfogel ⋅ Omri Abend ⋅ Amir Feder

Disentangling the Good From the Bad: Quantization-Induced Flips Are Not Random

Aymen Bouguerra ⋅ Alexandra Gomez-Villa ⋅ Chokri Mraidha ⋅ Fabio Arnez

Distribution Free Fourier Sparsity Testing

Arijit Ghosh ⋅ Manmatha Roy

Does Weight Decay Enhance Training Stability?

Marius Sæther ⋅ Amir Kolić ⋅ Pierfrancesco Beneventano ⋅ Tomaso Poggio

Domination-Avoiding Learning Agents Cannot Collude

Noam Nisan ⋅ Emmanuel Zerah

Dual-Pronged LoRA: Achieving Near-Zero Forgetting and High-Performance Adaptation for MLLMs

Jingqi Ye ⋅ haonan he ⋅ Minglei Li ⋅ Fujun Han ⋅ Tao Chen ⋅ Peng Ye

Dynamic Video Generation: Shaping Video Generation Across Time and Space

Shikang Zheng ⋅ Jingkai Huang ⋅ Jiacheng Liu ⋅ Guantao Chen ⋅ Lixuan He ⋅ Yuqi Lin ⋅ Peiliang Cai ⋅ Linfeng Zhang

Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty

Artur Eisele ⋅ Bernd Frauenknecht ⋅ Friedrich Solowjow ⋅ Sebastian Trimpe

Effective Context in Transformers: An Analysis of Fragmentation and Tokenization

Amirmehdi Jafari Fesharaki ⋅ Mohammadamin Rami ⋅ Aslan Tchamkerten

Efficiently Aligning Draft Models via Parameter- and Data-Efficient Adaptation

Luxi Lin ⋅ Zhihang Lin ⋅ Zhanpeng Zeng ⋅ Yuhao Chen ⋅ Qingyu Zhang ⋅ Jixiang Luo ⋅ Rongrong Ji

Emergence of Distortions in High-Dimensional Guided Diffusion Models

Enrico Ventura ⋅ Beatrice Achilli ⋅ Luca Ambrogioni ⋅ Carlo Lucibello

EM-NeSy: Expectation Maximization for Neurosymbolic Learning

Annegret Seibt ⋅ Luc De Raedt ⋅ Giuseppe Marra

Enhancing Tabular Learners with Context-Aware Semantic Embeddings

Günther Schindler ⋅ Maximilian Schambach ⋅ Johannes Höhne

Escaping the Curse of Dimensionality in One‑Step Flow-Based Generative Models

Konstantin Yakovlev

ESS-Flow: training-free guidance as Bayesian inference in source space

Adhithyan Kalaivanan ⋅ Zheng Zhao ⋅ Jens Sjölund ⋅ Fredrik Lindsten

Evaluating and Understanding Scheming Propensity in LLM Agents

Mia Hopman ⋅ Jannes Elstner ⋅ Maria Avramidou ⋅ Amritanshu Prasad ⋅ David Lindner

Evaluating Multimodal Narrative Understanding of Popular Hollywood Films

David Bamman ⋅ Kent K Chang ⋅ Allison Cooper ⋅ Juishan Hsu ⋅ Reina Kushihashi ⋅ Madison Mar ⋅ Arnav Podichetty ⋅ Rachael G Samberg ⋅ Ipek N Sancak ⋅ Yuhan Shao

Exploration as Constrained Policy-Space Optimization

Victor Azad

Externalized CPDAG Summaries Improve LLM Causal Deduction

Wentao Sun ⋅ João P Nogueira ⋅ Dominique Verchere ⋅ Mathieu Acher ⋅ Alonso Silva

Fast Wasserstein rates for estimating probability distributions of probabilistic graphical models

Daniel Bartl ⋅ Stephan Eckstein

Federated Dataset Simulation: Inducing Label-Free Heterogeneity Across Tasks

Vasilis Siomos ⋅ Lam Ngo ⋅ Jonathan Passerat-Palmbach ⋅ Giacomo Tarroni

FineRMoE: Dimension Expansion for Finer-Grained Expert with an Upcycling Approach

Ning Liao ⋅ Xiaoxing Wang ⋅ Xiaohan Qin ⋅ Junchi Yan

ForesightFlow: Self-Guided Flow Matching for Improving Vision-Language-Action Models

Yunpeng Mei ⋅ Jiakai He ⋅ Hongjie Cao ⋅ Chenyu Wang ⋅ Xiaowen Zhu ⋅ Yihan Zhou ⋅ Jiamin Wang ⋅ Chenbo Xin ⋅ Peng Cheng ⋅ Yuxuan Yang ⋅ Yijie Wang ⋅ Xinhu Zheng ⋅ Gao Huang ⋅ Jie Chen ⋅ Gang Wang

Frank-Wolfe Beyond 1/t Convergence

Sebastian Pokutta

FrED: External Data Influence Estimation via Domain Knowledge Graph Grounding

Theodoros Aivalis ⋅ Iraklis A Klampanos ⋅ Antonis Troumpoukis ⋅ Joemon M Jose

Frequency Domain Reservoir Computing

Klaus Schertler ⋅ Xiomara Runge ⋅ Andrea Ceni ⋅ David Kappel ⋅ Claudio Gallicchio

From Approximation to Computation: Universal Power of Deep Narrow Networks at Constant Width

Olivier Bournez ⋅ Johanne Cohen ⋅ Adrian Wurm

From Experts to Sub-experts: Fine-grained Parameter-Efficient Fine-Tuning for MoE LLMs

Zhentao Tan ⋅ Chang Liu ⋅ Yao Liu ⋅ Yue Wu ⋅ Jieping Ye

From Isolated feature to Orbits:\\Discovering Music Concepts via Multi-SAE Alignment

Liwei Lin ⋅ Gus Xia

From sequences to schemas: low-rank recurrent dynamics underlie abstract relational representations

Vezha Boboeva ⋅ Alberto Pezzotta ⋅ George Dimitriadis ⋅ Athena Akrami

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs

Zeyu Xia ⋅ Jun Zhu ⋅ Dong Yan

GAUGECAST++: A Physics-Informed Latent Forecasting System for Localized Flood Prediction

Adrian Kucia ⋅ Edward Rollason ⋅ Wai Lok Woo

Generating Financial Time Series by Matching Random Convolutional Features

Konrad Mueller ⋅ Nikita Zozoulenko ⋅ Ben Wood ⋅ Thomas Cass ⋅ Lukas Gonon

GISA: A Benchmark for General Information-Seeking Assistant

Yutao Zhu ⋅ Xingshuo Zhang ⋅ Maosen Zhang ⋅ Jiajie Jin ⋅ Liancheng Zhang ⋅ Xiaoshuai Song ⋅ Kangzhi Zhao ⋅ Wencong Zeng ⋅ Ruiming Tang ⋅ Han Li ⋅ Ji-Rong Wen ⋅ Zhicheng Dou

GNNs Meet Sequence Models Along the Shortest-Path: an Expressive Method for Link Prediction

Francesco Ferrini ⋅ Veronica Lachi ⋅ Antonio Longa ⋅ Bruno Lepri ⋅ Andrea Passerini

Gradient Span Algorithms Make Predictable Progress in High Dimension

Felix Benning ⋅ Leif Döring

Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes

LIU Hanqing ⋅ Jianjun Cao ⋅ Yuanze Li ⋅ Zijian Zhou

Group-Aware Matrix Estimation and Latent Subspace Recovery

Hamza Golubovic ⋅ Matthew Shen ⋅ Genevera Allen ⋅ Tarek M Zikry

GT-Free OCR Metrics: A Reference-Free Evaluation Framework for Document OCR Systems

Kshitij Singh

HalluciText: Mitigating Text Hallucinations in Diffusion-Based Image Restoration

Zhiming Hu ⋅ Angela Ye ⋅ Ran Zhang ⋅ Tristan T Aumentado-Armstrong ⋅ Samrudhdhi B Rangrej ⋅ Faraz Ali ⋅ Dong Huo ⋅ Kosta Derpanis ⋅ Alex Levinshtein ⋅ Iqbal Mohomed

haphazard: A unified library and benchmark for online learning under varying feature availability

Rohit Agarwal ⋅ Arijit Das ⋅ Dilip K. Prasad

HARC: Coupling Harmfulness and Refusal Capabilities for Robust Safety Alignment

Shei Pern Chua ⋅ Fangzhao Wu

Heterogeneity-aware Distillation for Federated Continual Learning

Gaozhuo Liu ⋅ Yichen Li ⋅ Xiuying Wang ⋅ Yulong Li ⋅ Chuang Zhao ⋅ Yankai Jiang ⋅ Imran Razzak

Hierarchical Agglomerative Clustering via Relaxed Representatives

Eduardo Laber ⋅ Miguel A Batista

High-dimensional Limit of SGD for Diagonal Linear Networks

Begoña García Malaxechebarría ⋅ Courtney Paquette ⋅ Maryam Fazel ⋅ Dmitriy Drusvyatskiy

How deep is your network? Deep vs. shallow learning of transfer operators

Mohammad Tabish ⋅ Benedict Leimkuhler ⋅ Stefan Klus

HPE: Hallucinated Positive Entanglement for Backdoor Attacks in Federated Self-Supervised Learning

Jiayao Wang ⋅ Yang Song ⋅ Zhendong Zhao ⋅ Jiale Zhang ⋅ Xiaoying Lei ⋅ Qilin Wu ⋅ Wenliang Yuan ⋅ Junwu Zhu ⋅ Dongfang Zhao

HumanStereo: A Benchmark for Metric Facial Depth Estimation and Its Evaluation

Alexandru-Ion Marinescu ⋅ DIANA-LAURA BORZA ⋅ DARABANT Sergiu Adrian

idSCD: Identifying Training Datasets through Semantic Correlation Descriptors

Ionuț Hodoroagă ⋅ Andrada Gobeajă ⋅ Marius Leordeanu ⋅ Elena Burceanu

Improved Regret bounds in Tabular Reinforcement Learning under Local Differential Privacy

Hugo Richard

Inferotemporal Cortex Collaborates Before It Codes: Non-Serial Inter-Area Synergy in the Macaque Ventral Stream

Arun Ponnambalam ⋅ Krishnan V Pottore

Integral Probability Boundaries

Bogdan Kulynych ⋅ Shahab Asoodeh

Intent Factored Generation: Unleashing the Diversity in Your Language Model

Eltayeb Ahmed ⋅ Uljad Berdica ⋅ Martha Elliott ⋅ Danijela Horak ⋅ Jakob Foerster

Inverse Linear Bandits via Linear Programs

Ziqing Song ⋅ Lin Yang ⋅ Ruosong Wang

Jaguar: Fast Private CNN Inference with Power-of-Two Homomorphic Arithmetic

Yewon Jeong ⋅ Nayoung Jung ⋅ Hyeri Roh ⋅ Woo-Seok Choi

JAXtari: High-Throughput and Easy-to-Modify Arcade Learning Environment

Quentin Delfosse ⋅ Raban Emunds ⋅ Paul Seitz ⋅ Sebastian Wette ⋅ Jannis Blüml ⋅ Daniel Kirn ⋅ Dominik Mandok ⋅ Kristian Kersting

KDASO: Knowledge-Data Dual-Driven Automated Skill Optimization for Liability Adjudication Task

Zi-Jian Cheng ⋅ Weiming Wu ⋅ Jie Meng ⋅ Zhen Peng ⋅ Shan Huang ⋅ Tracy Li ⋅ Guobin Wu ⋅ Lan-Zhe Guo

KnowEvo: Knowledge Evolution for Protein Optimization

Zijie Xing ⋅ Xingyue Liu ⋅ Runze Wang ⋅ Luoming Hu ⋅ Yanming Shen

Latent Motion Alignment for Video Diffusion

Nick Stracke ⋅ Kolja Bauer ⋅ Björn Ommer

Learning Acceptable Lotteries via Queries: Minimizing Aggregated Violation Distances

Paul W Goldberg ⋅ Nicholas Teh

Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation

Yubo Huang ⋅ Zixi Wang ⋅ Yushe Cao ⋅ Jingzehua Xu ⋅ Xin Lai ⋅ Xiongyu Hu ⋅ Shuai Zhang

Learning Lotteries with Minimal Violations from Membership Queries

Paul W Goldberg ⋅ Nicholas Teh

Learning to Complete Extremal Mathematical Structures

Mengzhou Sun

Learning to Decide with AI Assistance under Human-Alignment

Nina Corvelo Benz ⋅ Eleni Straitouri ⋅ Manuel Rodriguez

Lifting Biomolecular Data Acquisition

Eli N. Weinstein ⋅ Andrei Slabodkin ⋅ Mattia G Gollub ⋅ Kerry Dobbs ⋅ Xiao-Bing Cui ⋅ Fang zhang ⋅ Kristina Gurung ⋅ Elizabeth B Wood

Linear-time rule mining under formal guarantees

Jonathan Feldstein ⋅ Dominic Phillips ⋅ Efthymia Tsamoura

Logical Distillation of Transformer Encoders

Matteo Forasassi ⋅ Thomas Gärtner ⋅ Thomas Lukasiewicz ⋅ Sagar Malhotra

Mapping Uncharted Symmetries: Machine Discovery in Combinatorics

Eugenio Cainelli ⋅ Lorenzo Luccioli ⋅ Alessandro Iraci ⋅ Michele D'Adderio ⋅ Giovanni Paolini

MAPS: Margin-Aware Priors and Verifier-Guided Search for Embodied Planning

XIN Li ⋅ Junquan Huang ⋅ Xujia Li ⋅ Lei Chen

Martine: Benchmarking Multi-View 3D Surface Reconstruction Across Viewpoint Coverage, Resolution, and Lighting

Robin Bruneau ⋅ Baptiste Brument ⋅ Frederic Giraud ⋅ Bastian Sigrist ⋅ Sascha Jecklin ⋅ Philipp Fürnstahl ⋅ Bjoern Menze ⋅ Lilian Calvet

MatchEx: Model-Level GNN Explanations with Multi-Granular Insights

Sayan Saha ⋅ Sanghamitra Bandyopadhyay

Maximin Robust Bayesian Experimental Design

Hany Abdulsamad ⋅ Sahel Iqbal ⋅ Christian Andersson Naesseth ⋅ Takuo Matsubara ⋅ Adrien Corenflos

MemReg: Streaming Outdoor LiDAR Point Cloud Registration with Hybrid Memory Buffers

Jiuming Liu ⋅ Mengmeng Liu ⋅ Guangming Wang ⋅ Lihao Liu ⋅ Michael Yang ⋅ Yunpeng Zhang ⋅ Francesco Nex ⋅ Hao Cheng ⋅ Hesheng Wang

Meta-memorization and memorization scaling laws in transformers

Alex Nguyen ⋅ Kenneth Norman ⋅ Gautam Reddy

Module-Aware Optimization for Graph Neural Networks

Guy Hadad ⋅ Haggai Roitman ⋅ Moshe Eliasof ⋅ Bracha Shapira

MSR-3D: Multi-Mode Semantic Representation for Open-Vocabulary 3D Scene Understanding

Jianan Fu ⋅ ting Wu ⋅ Rui Yang ⋅ Jiacheng Sun ⋅ Xinghong Zhou ⋅ Chenghai Mao ⋅ Jiaxiang Pan ⋅ Xiaomao Li

Multilevel and Sequential Monte Carlo for Training-Free Diffusion Guidance

Aidan Gleich ⋅ Scott C Schmidler

Multimodal Foundation Agents Should Use Brain Data as Privileged Supervision

Richard Csaky

Multiple Descent of Generalization Curve for Optimally Regularized Ridge Regression

Maxim Bochkov ⋅ Fedor Noskov

Neural Networks With Dense Weights Are Not Universal Approximators

Levi Rauchwerger ⋅ Stefanie Jegelka ⋅ Ron Levie

Noisy isomorphism: Robust expressivity of GNNs under structural perturbation

Ning Zhang ⋅ Mihai Cucuringu ⋅ Xiaowen Dong

Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation

Duong Nguyen ⋅ Nghia Hoang ⋅ Hang T Nguyen ⋅ Thanh Trung Huynh ⋅ Phi Le Nguyen ⋅ Minh Do

Observable Neural ODEs for Identifiable Causal Forecasting in Continuous Time

Jennifer Wendland ⋅ Nicolas Freitag ⋅ Maik Kschischo

On Differentially Private Mechanisms for Linear Regression

Bardiya Aryanfard ⋅ Monika Henzinger ⋅ Farhood Rostamkhani

On Generation in Metric Spaces

Jiaxun Li ⋅ Vinod Raman ⋅ Ambuj Tewari

OpenSearcher: Democratizing Deep Search through a Fully Offline Pipeline with Programmatic Verification

Zheng Chu ⋅ Xiao Wang ⋅ HuiMing Fan ⋅ Qianyu Wang ⋅ Zhuoyao Wang ⋅ Xiang Cheng ⋅ Ming Liu ⋅ Bing Qin ⋅ XingYu Li

OPERA: An Agent for Image Restoration with End-to-End Joint Planning–Execution Optimization

Feng Zhu ⋅ Shuyang Xie ⋅ Zeng Yihan ⋅ Ming Liu ⋅ Wangmeng Zuo

Optimal Experiments for Partial Causal Effect Identification

Tobias Maringgele ⋅ Jalal Etesami

Optimal scaling laws in learning hierarchical multi-index models

Leonardo Defilippis ⋅ Florent Krzakala ⋅ Bruno Loureiro ⋅ Antoine Maillard

OrthoReg: Orthogonal Regularization for Hybrid Symbolic-Neural Dynamical Systems

Till Richter ⋅ Niki Kilbertus

Parameterized Complexity of Stationarity Testing for Piecewise-Affine Functions and Shallow CNN Losses

Yuhan Ye

PASSAGE: A Real-Terrain Benchmark for Trustworthy Constrained Path Planning

Geoffrey Delhomme ⋅ François Trap ⋅ Fateh Kaakai

Patching Up Circuit Learning on Images

Charles Bricout ⋅ Gennaro Gala ⋅ Viacheslav (Slava) Borovitskiy ⋅ Antonio Vergari

Penalize to Verify: A Multi-Domain Benchmark for Trustworthy LLM Evaluation

Jia-chen Zhang ⋅ Zheng Zhou ⋅ Zhuo Wang ⋅ Qi Jia ⋅ Zijian Chen ⋅ Jie Zhou ⋅ Kaiwei Zhang ⋅ Xin Li ⋅ Guangtao Zhai ⋅ Liang He

PLLS-CP: Unsupervised Hallucination Detection with Layer Selection and Cross-Domain Conformal Guarantees

Vladislav Tsvelenev ⋅ Maxim Ryndin

Plug-and-Play ADMM for Inverse Problems with Flow Matching Denoiser

Dibyanshu Kumar ⋅ Magda Gregorova

Position: Anthropomorphic Language in AI Discourse Can Be Constructive

Yingshan CHANG ⋅ Yonatan Bisk

Position: Lottery Tickets Do Not Explain Overparameterization. How About Escape Dimensions?

Flavio Martinelli ⋅ Johanni Brea ⋅ Wulfram Gerstner

Position: The Road to Generalizable Neuro-Symbolic Learning Should be Paved with Foundation Models

Adam Stein ⋅ Aaditya Naik ⋅ Neelay Velingker ⋅ Mayur Naik ⋅ Eric Wong

Prior as Geometry, Not Generator: Weak-Diffusion Test-Time Reconstruction for Dynamic MRI

Mengzhe Du ⋅ Congcong Liu ⋅ Baoqing Li ⋅ Jinglong Tao ⋅ Wenwu He ⋅ Zhuo-Xu Cui

Property-Guided LLM Program Synthesis for Planning

André G. Pereira ⋅ Augusto B. Corrêa ⋅ Jendrik Seipp

Proteus: Incremental Memory Activation for Long-Context Sequence Modeling

Reza Bayat ⋅ Ali Behrouz ⋅ Vahab Mirrokni ⋅ Aaron Courville

Provable Speedups From Dynamic Population Sizes in Evolutionary Algorithms for Multiobjective Optimization

Andre Opris

Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs

Nathan Weill ⋅ Kaizheng Wang

Quantile Benchmarking Heterogeneous Web Corpora in Open LLM Pretraining

Kairong Luo ⋅ Zhenbo Sun ⋅ Xinyu Shi ⋅ Shengqi Chen ⋅ Bowen Yu ⋅ Yunyi Chen ⋅ Chenyi Dang ⋅ Tao H Tao ⋅ Hui Wang ⋅ Fangming Liu ⋅ Kaifeng Lyu ⋅ Wenguang Chen

Rare Events, Real Signals: Functional Ensembles as Units of Computation in Deep Spiking Networks

Aditi Aravind ⋅ Konstantinos Ladakis ⋅ Mario Alexios Savaglio ⋅ Stelios Smirnakis ⋅ Maria Papadopouli

RASS: Risk-Audited Budget Selection for Compact NeRF Benchmark Subsets

Ahmad AlMughrabi ⋅ Flavià Serret ⋅ Ricardo Marques ⋅ Petia Radeva

RayTun3R: Online Camera Adaptation in 3D Foundation Models

Daniil Sinitsyn ⋅ Nikita Araslanov ⋅ Daniel Cremers

Regret Minimization in Single-Dimensional Contract-Design with Binary Actions

Riccardo Poiani ⋅ Martino Bernasconi ⋅ Andrea Celli

Replay-buffer engineering for noise-robust quantum circuit optimization

Akash Kundu ⋅ Sebastian Feld

RESCAST-100K: A Comprehensive Dataset for Cross-Domain Residential Load and Indoor Temperature Forecasting

Jainam Dhruva ⋅ Yousaf Raza ⋅ A.B. Siddique ⋅ Simone Silvestri

SafePro: Generation of Safe and Functional Proteins via Cross-Task Conflict-Aware Alignment

Chongyang Gao ⋅ Marco Postiglione ⋅ Venkatramanan Subrahmanian

Same Function, Different Mechanism: Implementation-Local Geometry Beyond Accuracy

Miroslav Lžičař

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits

Grigory Begunov ⋅ Alexander Tyurin

Scaling Full Conformal Image Classifiers

Julio Silva-Rodríguez ⋅ Ender Konukoglu

Scaling Genomic Language Modeling with Unified Corpus and Evaluation in Bacteria

Maciej Wiatrak ⋅ Samuel T Horsfield ⋅ Aaron Weimann ⋅ Ramon Viñas Torné ⋅ Maria Ntemourtsidou ⋅ David Abelson ⋅ Adam Dinan ⋅ John Lees ⋅ Maria Brbic ⋅ Andres Floto

SD-Search: Hindsight Self-Distillation for Search-Augmented Reasoning

Yufei Ma ⋅ Zihan Liang ⋅ Ben Chen ⋅ Zhipeng Qian ⋅ Huangyu Dai ⋅ Lingtao Mao ⋅ Xuxin Zhang ⋅ Chenyi Lei ⋅ Wenwu Ou

Secure Seed-Based Multi-bit Watermarking for Diffusion Models from First Principles

Enoal Gesny ⋅ Eva Giboulot

Self-Distillation of Hidden Layers for Masked Self-Supervised Representation Learning

Scott C. Lowe ⋅ Anthony Fuller ⋅ Sageev Oore ⋅ Evan Shelhamer ⋅ Graham Taylor

SetAD: Semi-Supervised Anomaly Learning in Contextual Sets

Jianling Gao ⋅ Chongyang Tao ⋅ Xuelian Lin ⋅ Junfeng Liu ⋅ Shuai Ma

Similarity-Constrained Reweighting for Complex Query Answering on Knowledge Graphs

Daniel Daza ⋅ Alberto Bernardi ⋅ Luca Costabello ⋅ Christophe Gueret ⋅ Michael Cochez ⋅ M.C. Schut

SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization

Leonard Papenmeier ⋅ Petru Tighineanu

SP$^3$: Spherical Priors for Plug-and-Play Restoration

Sean Man ⋅ Ron Raphaeli ⋅ Matan Kleiner ⋅ Or Ronai

Space-Aware World Models: Spatial Persistence Through Factored Scene Representations

Bruno Corcuera ⋅ Carlos Eiras-Franco ⋅ Brais Cancela

Spatially Feasible 3D Indoor Scene Generation via Interaction-Oriented Human Proxy

Xinyuan Chen ⋅ Mingwen Shao ⋅ Qiao Zhang ⋅ Qinglin Zhan ⋅ Xiang Lv ⋅ Boyuan Yang ⋅ Jixuan Shi ⋅ Lingzhuang Meng ⋅ Chang Liu ⋅ Shanshan Song ⋅ Ling Jian

Spectral Alignment in Forward–Backward Representations via Temporal Abstraction

Seyed Mahdi Basiri Azad ⋅ Jasper Hoffmann ⋅ Iman Nematollahi ⋅ Hao Zhu ⋅ Abhinav Valada ⋅ Joschka Boedecker

Spiking neural network initialization for scale-invariant maximization of entropy

Reinier W Vos ⋅ Aurora Micheli ⋅ Nergis Tomen ⋅ Christophe De Wagter ⋅ Jan van Gemert ⋅ Sander Bohte ⋅ Guido de Croon

STABLE: A Continual Learning Optimizer with Adaptive Drift Control

Xiaoyan Li ⋅ Lanpei Li ⋅ Massimo Coppola ⋅ Vincenzo Lomonaco ⋅ Antonio Carta

Stochastic Matching Bandits with Rare Optimization Updates

Jung-hun Kim ⋅ Min-hwan Oh

Stochastic Matching via Local Sparsification

Sara Ahmadian ⋅ Edith Cohen ⋅ Mohammad Roghani

Subcritical Signal Propagation at Initialization in Normalization-Free Transformers

Sergey Alekseev

SynthForensics: Benchmarking and Evaluating People-Centric Synthetic Video Deepfakes

Roberto Leotta ⋅ Salvatore A Sambataro ⋅ Claudio V Ragaglia ⋅ Mirko Casu ⋅ Yuri Petralia ⋅ Francesco Guarnera ⋅ Luca Guarnera ⋅ Sebastiano Battiato

Tabular Foundation Model for Generative Modelling

Xiangjian Jiang ⋅ Mingxuan Liu ⋅ Nikola Simidjievski ⋅ Tassilo Klein ⋅ Mateja Jamnik

Taking Low-Rank LLM Compression a Step Further: A Global Perspective with Fused Inference

Xinhao Huang ⋅ Yuqiang He ⋅ Zeyi Wen

TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting

Vladyslav Moroshan ⋅ Julien Siems ⋅ Arber Zela ⋅ Timur Carstensen ⋅ Frank Hutter

Test-Time Conditioning with Representation-Aligned Visual Features

Nicolas Sereyjol-Garros ⋅ Ellington Kirby ⋅ Victor Letzelter ⋅ Victor Besnier ⋅ Nermin Samet

The Algorithm Is Not the Behavior: Learned Priors Override Look-Ahead in a Chess-Playing Neural Network

Elias Sandmann ⋅ Sebastian Lapuschkin ⋅ Wojciech Samek

The BatchNorm Illusion: Diagnosing Normalization Artifacts in Machine Unlearning Evaluation

Aaryaman Kalani ⋅ Murari Mandal ⋅ Dhruv Kumar ⋅ Mohan Kankanhalli ⋅ Yash Sinha

The Bayesian Learning Rule Beyond KL Geometry

SOPHIA SKLAVIADIS ⋅ Wu Lin ⋅ Mario Figueiredo ⋅ André Martins ⋅ Thomas Möllenhoff ⋅ Mohammad Emtiyaz Khan

The Geometric Inductive Bias of Grokking: Bypassing Phase Transitions via Architectural Topology

Alper YILDIRIM

The risk of KV cache compression

Lukas Haverbeck ⋅ Carmen Amo Alonso ⋅ Andres Posada Moreno ⋅ Sebastian Trimpe ⋅ Marco Pavone

The Sign Code: The Hidden Binary Nature of Deep Networks

Niclas A Göring ⋅ Shuofeng Zhang ⋅ Roi Holtzman ⋅ yoonsoo nam ⋅ Ard Louis

The Window for Preventive Action Before AI Saturates Most Cognitive Benchmarks is Closing

Jérémy Andréoletti ⋅ Antoine Maier ⋅ Laura Domenech ⋅ Tom David

Thinking with Visual Primitives

Ruijie Lu ⋅ Yiyang Ma ⋅ Xiaokang Chen ⋅ Lingxiao Luo ⋅ Zhiyu Wu ⋅ Zizheng Pan ⋅ Ting Chen ⋅ Gang Zeng

ThousandWorlds: A benchmark for emulating the climates of potentially habitable exoplanets

Edward Stevenson ⋅ Mei T Mak ⋅ Eric Wolf ⋅ Denis E Sergeev ⋅ Tobi Hammond ⋅ Nathan Mayne ⋅ Miles Cranmer

Tight Generalization Bounds for Noiseless Inverse Optimization

Sayedpouria Fatemi ⋅ Hoomaan Maskan ⋅ Suvrit Sra ⋅ Peyman Mohajerin Esfahani

Token-to-Token Alignment of Text Embeddings for Semantic Blending

Saar Huberman ⋅ Ron Mokady ⋅ Or Patashnik ⋅ Daniel Cohen-or

ToMAToMP: Robust and Multi-Parameter Topological Clustering

Ludo Andrianirina ⋅ Mathieu Carrière

Topological Periodicity Test (TopPT) via Confidence Bound of Time-Delay Embeddings

Donghyun Park ⋅ Junhyun An ⋅ Taehyoung Kim ⋅ Jisu Kim

Towards Understanding and Measuring Cognitive Atrophy in LLM Behaviour

Abeer Badawi ⋅ Moyosoreoluwa Olatosi ⋅ Negin Baghbanzadeh ⋅ Laleh Seyyed-Kalantari ⋅ Frank Rudzicz ⋅ R. Shayna Rosenbaum ⋅ Sara Pishdadian ⋅ Elham Dolatabadi

Trustworthy Retrosynthesis: Eliminating Hallucinations with a Diverse Ensemble of Reaction Scorers

Michał Sadowski ⋅ Tadija Radusinović ⋅ Maria Wyrzykowska ⋅ Lukasz Sztukiewicz ⋅ Jan Rzymkowski ⋅ Piotr Kozakowski ⋅ Mikolaj Sacha ⋅ Ruard van Workum ⋅ Stanislaw Jastrzebski

Understanding Multi-View Transformers

Julien Gaubil ⋅ Michal Stary ⋅ Louis Martinez ⋅ Andreas Geiger ⋅ Maks Ovsjanikov ⋅ Ayush Tewari ⋅ Vincent Sitzmann

Understanding the Interplay between Memorization and Learning in Large Language Models

Bishwamittra Ghosh ⋅ Soumi Das ⋅ Qinyuan Wu ⋅ Mohammad Aflah Khan ⋅ Deepak Garg ⋅ Krishna Gummadi ⋅ Evimaria Terzi

Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMs

Naman Deep Singh ⋅ Maximilian Mueller ⋅ Amit Peleg ⋅ Francesco Croce ⋅ Matthias Hein

ViewSAM: Learning View-aware Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking

Jiawei Ge ⋅ Xintian Zhang ⋅ Jiuxin Cao ⋅ Bo Liu ⋅ Fabian Deuser ⋅ Chang Liu ⋅ Gong Wenkang ⋅ Siyou Li ⋅ Juexi Shao ⋅ Wenqing Wu ⋅ Chen Feng ⋅ Ioannis Patras

Wavelet Flow Matching for Multi-Scale Physics Emulation

Gabriele Accarino ⋅ Juan Nathaniel ⋅ Carla Roesch ⋅ Pierre Gentine ⋅ Sara Shamekh ⋅ Duncan Watson-Parris ⋅ Viviana Acquaviva

What Can Labels Alone Audit and Edit in Frozen Representations?

Yirong Xiang ⋅ Yibo Zhou

What Drives Compositional Generalization? The Importance of Continuous Training Objectives in Visual Generative Models

Karim Farid ⋅ Rajat Sahay ⋅ Yumna Alnaggar ⋅ Simon Schrodi ⋅ Volker Fischer ⋅ Cordelia Schmid ⋅ Thomas Brox

When Graph Anomalies Learn to Hide: Test-Time Cloaking in Graph-Level Anomaly Detection

Jinyu Cai ⋅ Glynnis Lim ⋅ See-Kiong Ng

When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation

Shani Goren ⋅ Ido Galil ⋅ Ran El-Yaniv

World Models as Adversaries: Multi-Agent Self-Play Fine-Tuning for Robust Motion Planning

Tong Nie ⋅ Yuewen Mei ⋅ Junlin He ⋅ Yihong Tang ⋅ Jian Sun ⋅ Wei Ma

World Models as Group Actions

Zijie Wang ⋅ Wei Zhang ⋅ Weiming Zhang ⋅ Fanqi Zhang ⋅ Xiao Tan ⋅ Yipeng Qin ⋅ Guanbin Li

xWhy: Causal Learning from Explanations

Nicholas Tagliapietra ⋅ Florian Peter Busch ⋅ Moritz Willig ⋅ Matej Zečević ⋅ Lavdim Halilaj ⋅ Juergen Luettin ⋅ Kristian Kersting

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