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Affinity Event Tue, Dec 2, 2025 • 8:00 AM – 5:00 PM PST

Women in Machine Learning

Tiffany Vlaar ⋅ Nikita Saxena ⋅ Tatjana Chavdarova ⋅ Ana María Quintero-Ossa ⋅ Kairan ZHAO ⋅ Kristina Ulicna ⋅ Trisha Mittal ⋅ Aishwarya Jadhav ⋅ Akshita Ramya Kamsali ⋅ Man Luo ⋅ Zeinab Abboud ⋅ Jean Amukwatse
Project Page

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Schedule

Timezone: America/Los_Angeles
9:00 AM
Opening Remarks
Ana María Quintero-Ossa
10:15 AM
Coffee break
12:15 PM
Lunch break
2:15 PM
Coffee Break
4:45 PM
WiML President’s Remarks
Sarah Tan
The Representations of Deep Neural Networks Trained on Dihedral Group Multiplication
Sihui Wei ⋅ Harley Wiltzer ⋅ Zhaoyue(Rebecca) Wang ⋅ Irina Rish
Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework
Cléa Chataigner ⋅ Rebecca Ma ⋅ Prakhar Ganesh ⋅ Afaf Taik ⋅ Elliot Creager ⋅ Golnoosh Farnadi
Do Machines Think Emotionally? A Cognitive Appraisal Analysis of Large Language Models
Sree Bhattacharyya ⋅ Lucas Craig ⋅ Tharun Dilliraj ⋅ Jia Li ⋅ James Wang
Efficient Data Selection for Split Neural Networks
Humaira Kousar ⋅ Hasnain Irshad Bhatti
Batch-Adaptive Annotations for Causal Inference with Complex-Embedded Outcomes
Ezinne Nwankwo ⋅ Lauri Goldkind ⋅ Angela Zhou
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning
Ashka Shah ⋅ Adela DePavia ⋅ Nathaniel Hudson ⋅ Ian Foster ⋅ Rick Stevens
Aligned Machine
Jiechen Li ⋅ Hannah Groos ⋅ Brinnae Bent
A Reinforcement Learning Approach for Personalized Automated Anesthesia Control
Manuela Merlo ⋅ Francesco Trovò ⋅ Alberto Maria Metelli
Score-Based Denoising Diffusion Models for Photon-Starved Image Restoration Problems
Savvas Melidonis ⋅ Yiming Xi ⋅ Konstantinos Zygalakis ⋅ Yoann Altmann ⋅ Marcelo Pereyra
TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale
Malgorzata Gwiazda ⋅ Yifu Cai ⋅ Mononito Goswami ⋅ Artur Dubrawski
LLM-Enabled Semantic Caching for Affordable Web Access
Hafsa Akbar ⋅ Danish Athar ⋅ Muhammad Ayain Fida Rana ⋅ Zartash Uzmi ⋅ Ihsan Ayyub Qazi ⋅ Zafar Qazi
Tag2M- A Task-Agnostic Knowledge Distillation Framework for Distilling Gnn to MLP
Ram Ganesh ⋅ Ayush Singh ⋅ Aditi Rai ⋅ Harsh Pal ⋅ Deepanshu ⋅ Akshay Sethi ⋅ Aakarsh Malhotra ⋅ Sayan Ranu
Reasoning with Preference Constraints: A Benchmark for Language Models in Many-to-One Matching Markets
Marylou Fauchard ⋅ Florian Carichon ⋅ Margarida Carvalho ⋅ Golnoosh Farnadi
Optimizing Noise Distributions for Differential Privacy
Atefeh Gilani ⋅ Juan Gomez ⋅ Shahab Asoodeh ⋅ Flavio Calmon ⋅ Oliver Kosut ⋅ Lalitha Sankar
Deep Models Under Domain Shift: A Sketch-Based Study
Ritika Jain ⋅ Akshay Agarwal ⋅ Atul Kumar
Understanding LoRA Update Complexity Through Stable Rank
Zaynab Awofeso ⋅ Antonio Orvieto ⋅ Jonas Geiping
Differential Gated Self-Attention
Elpiniki M. Lygizou ⋅ Radu Grosu
Graph Dreamer: Temporal Graph World Models for Sample-Efficient and Generalisable Reinforcement Learning
Anaïs Berkes ⋅ Donna Vakalis ⋅ Yoshua Bengio ⋅ David Rolnick
Narrative2Music: Generating Emotion-Aligned Music for Sentences
Mohammad Shokri ⋅ Alexandra Salem ⋅ Johanna Devaney
SignFormer-GCN: Continuous Sign Language Translation using Spatio-Temporal Graph Convolutional Networks
Rabeya Akter ⋅ Safaeid Hossain Arib ⋅ Sejuti Rahman ⋅ Shafin Rahman
Learning to Handle Constraints in Routing Problems via a Construct-and-Refine Framework
Jieyi Bi ⋅ Zhiguang Cao ⋅ Jianan Zhou ⋅ Wen Song ⋅ Yaoxin Wu ⋅ Jie Zhang ⋅ Yining Ma ⋅ Cathy Wu
Mind the Gap: LLM Actions vs. Human Social Understanding in Moral Dilemmas
Jiseon Kim ⋅ Jea Kwon ⋅ Luiz Felipe Vecchietti ⋅ Wenchao Dong ⋅ Alice Oh ⋅ Meeyoung Cha
Spectral–Topology-Aware KG-MARL for 5G V2V Sidelink
ANNU . ⋅ Rajalakshmi pachamuthu
Continual Neural Topic Model
Charu Karakkaparambil James ⋅ Waleed Mustafa ⋅ Marius Kloft ⋅ Sophie Fellenz
Dynamic 3D MRI Reconstruction from Single-Spoke via Motion-Compensated Neural Representation
Lixuan Chen ⋅ James Balter ⋅ Liyue Shen ⋅ Jeong Joon Park
Network Inversion for Uncertainty-Aware Out-of-Distribution Detection
Pirzada Suhail ⋅ Rehna Afroz Shaik ⋅ Gouranga Bala ⋅ Amit Sethi
How to Give Health-Behavioural Recommendations Using Meta-Reinforcement Learning to Reduce Cancer Risk
Gloria Desideri ⋅ Andrés Pasinetti ⋅ Alberto Maria Metelli ⋅ Francesco Trovò
Gricean Maxims in LLM Development
Nandhini Swaminathan ⋅ David Danks
SpatialThinker: Reinforcing 3D Reasoning in Multimodal LLMs via Spatial Rewards
Hunar Batra ⋅ Haoqin Tu ⋅ Hardy Chen ⋅ Yuanze Lin ⋅ Cihang Xie ⋅ Ronald Clark
SENSE: SENsing Similarity SEeing Structure
Nikita Malik ⋅ Mohit Kataria ⋅ Sandeep Kumar
Comparative Analysis of Machine Learning Models for Climate Change Sentiment Classification: A Multi-Method Evaluation Study
Rasheed OYEWOLE ⋅ Rafiat Akodu ⋅ Toheeb Jumah ⋅ Sanda Taiwo ⋅ Salam Taoubane
Safe Reinforcement Learning Framework Under a Linear Programming Formulation
Sharlin Utke ⋅ Jeremie Houssineau ⋅ Long Tran-Thanh
CAVE: Detecting and Explaining Commonsense Anomalies in Visual Environments
Rishika Bhagwatkar ⋅ Syrielle Montariol ⋅ Angelika Romanou ⋅ Beatriz Borges ⋅ Irina Rish ⋅ Antoine Bosselut
DP-MicroAdam: Private and Frugal Algorithm for Training and Fine-tuning
Mihaela Hudişteanu ⋅ Nikita Kalinin ⋅ Ionut-Vlad Modoranu ⋅ Edwige Cyffers
Towards Test-Time Adaptation for Neural Surrogates
Anna Zimmel ⋅ Gianluca Galletti ⋅ Paul Setinek ⋅ Johannes Brandstetter ⋅ Werner Zellinger
Instruction-based Time Series Editing
Jiaxing (Joy) Qiu ⋅ Tom Hartvigsen
LVT: Large-Scale Scene Reconstruction via Local View Transformers
Tooba Imtiaz ⋅ Lucy Chai ⋅ Kathryn Heal ⋅ Xuan Luo ⋅ Jungyeon Park ⋅ Jennifer Dy ⋅ John Flynn
Intrinsic Meets Extrinsic Fairness: Assessing the Downstream Impact of Bias Mitigation in Large Language Models
Mina Arzaghi ⋅ Alireza Farashah ⋅ Florian Carichon ⋅ Golnoosh Farnadi
Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling
Mónika Farsang ⋅ Ramin Hasani ⋅ Daniela Rus ⋅ Radu Grosu
Learning Robust Multimodal Control for Resource-Constrained Platforms
Mihaela-Larisa Clement ⋅ Felix Resch ⋅ Radu Grosu
Unifying Mechanistic Interpretations of Neural Networks Trained on Modular Addition
Gabriela Moisescu-Pareja ⋅ Gavin McCracken ⋅ Vincent Létourneau ⋅ Doina Precup ⋅ Jonathan Love
Strategic Feature Selection
Jivat Neet Kaur ⋅ Divya Shanmugam ⋅ Emma Pierson ⋅ Michael Jordan ⋅ Nika Haghtalab ⋅ Ahmed Alaa ⋅ Serena Wang
Biologically Refined Imputation via Diffusion for Gene Expression
Maitry Ronakbhai Trivedi ⋅ Qi Wang ⋅ Yi Su ⋅ Teresa Wu
RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data Analysis
Anku Rani ⋅ Aparna Garimella ⋅ Apoorv Saxena ⋅ Balaji Vasan Srinivasan ⋅ Paul Liang
Adversarial Priors Unleashed with Soft Actor Critic
Nayari Marie Lessa ⋅ Melya Boukheddimi ⋅ Frank Kirchner
RetinaSynth: Diffusion‑Based Synthetic Imaging
Amina Kurtovic ⋅ Amila Akagic
Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation
Radhika Dua ⋅ Young Joon Kwon ⋅ Siddhant Dogra ⋅ Daniel Freedman ⋅ Motaz Nashawaty ⋅ Daniel Alber ⋅ Kyunghyun Cho ⋅ Eric Oermann
TARnISHED: Forecasting Emergency Department visits using Wastewater with Multivariate Gaussian Random Walks
Rebeca Cardim Falcao ⋅ Michael Irvine ⋅ Hind Sbihi ⋅ David McVea
Speak, Start, See, Sense: How NLP, Robotics, and Computer Vision can Improve Automated Experimentation in Self-driving Labs
Kristen Hallas ⋅ Tarun Allaparti ⋅ Akshita Ramya Kamsali ⋅ Aldair Gongora
Cognitive Decision Intelligence Framework for Explainable AI Systems
Elena Sajno ⋅ Andrea Pugnana ⋅ Roberto Pellungrini
Invariant Graph Representations Learning via Redundant Information
Barproda Halder ⋅ Pasan Dissanayake ⋅ Sanghamitra Dutta
OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields
Lisa Weijler ⋅ Sebastian Koch ⋅ Fabio Poiesi ⋅ Timo Ropinski ⋅ Pedro Hermosilla
Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
Promise Ekpo ⋅ Thomas Wiener ⋅ Brian La ⋅ Saesha Agarwal ⋅ Arshia Agrawal ⋅ Gonzalo Gonzalez-Pumariega ⋅ Olalekan Ogunmolu ⋅ Angelique Taylor
Revisiting Replay and Gradient Alignment For Continual Pretraining of Large Language Models
Istabrak Abbes ⋅ Gopeshh Subbaraj ⋅ Matthew Riemer ⋅ Nizar Islah ⋅ Benjamin Thérien ⋅ Tsuguchika Tabaru ⋅ Hiroaki Kingetsu ⋅ Sarath Chandar ⋅ Irina Rish
Deep Learning for Urban Planning and Location-Based Services
Nripsuta Saxena ⋅ Shang-Ling Hsu ⋅ Cyrus Shahabi ⋅ Abigail Horn
From Mechanisms to Models: Multi-Modal Machine Learning for Kinetically Constrained Genome-Scale Metabolic Models
Rana Ahmed Barghout ⋅ Lya Serrano ⋅ Benjamin Sanchez-Lengeling ⋅ Radhakrishnan Mahadevan
Beyond Detection: Predicting Code-Switch Points in Multilingual Conversations
Jiawen Xie ⋅ Peng Zhang ⋅ Jayash Koshal ⋅ Shanu Sushmita
Fine-Tuning Large Language Models on EHR Data for Early Endometriosis Diagnosis in Adolescents
Shaida Soroush ⋅ Victoria Lazarov ⋅ Leslee Shaw ⋅ Rebecca Cohen ⋅ Ipek Ensari ⋅ Anurag Patil ⋅ Nivedita Nukavarapu ⋅ Emily L. Leventhal ⋅ Sarriyah Hanif
Contrastive Representations for Temporal Reasoning
Alicja Ziarko ⋅ Michał Bortkiewicz ⋅ Michał Zawalski ⋅ Benjamin Eysenbach ⋅ Piotr Miłoś
Explaining and Predicting Fine-Tuning in Large Models via Linearization
Zahra Rahimi Afzal ⋅ Tara Esmaeilbeig ⋅ Mojtaba Soltanalian ⋅ Mesrob I Ohannessian
LLM-based Code Evaluation for Fairness
Ritta Mfa ⋅ Surbhi Rathore ⋅ Ayman Sandouk ⋅ Sarah Brown
Can We Estimate The Entropy Of Arbitrary Distributions Known Up To A Normalization Constant? A Tale of Stein Variational Gradient Descent Scalability
Safa Messaoud ⋅ Skander Charni ⋅ Elaa Bouazza ⋅ Ali Pourghasemi Fatideh ⋅ Halima Bensmail
VesselGPT: Autoregressive Modeling of Vascular Geometry
Paula Feldman ⋅ Martin Sinnona ⋅ Claudio Delrieux ⋅ Viviana Siless ⋅ Emmanuel Iarussi
Interpretable KPI Analytics for Resource-Efficient AI-RAN Intelligence
Dayoung Choi ⋅ Siyoun Park ⋅ Jungmin Kwon ⋅ Hyunggon Park
Fixed Aggregation Features Can Rival GNNs
Celia Rubio-Madrigal ⋅ Rebekka Burkholz
Improving BGE-M3 Multilingual Dense Embeddings for Nigerian Low Resource Languages
Abdulmatin Omotoso ⋅ Habeeb Shopeju ⋅ Adejumobi Joshua ⋅ Shiloh Oni
Foundation Models on a Budget: Approximating Blocks in Large Vision Models
Irene Cannistraci ⋅ Simone Antonelli ⋅ Emanuele Palumbo ⋅ Thomas Sutter ⋅ Emanuele Rodolà ⋅ Bastian Rieck ⋅ Julia Vogt
Improving Generation Quality of Long-Tailed Diffusion via Disentangled Latent Representations
Esther Rodriguez ⋅ Monica Welfert ⋅ Samuel McDowell ⋅ Nathan Stromberg ⋅ Julian Camarena ⋅ Lalitha Sankar
AgentX: Automating AI Agent Creation with No-Code, Prompt-Driven Orchestration
Siri N Shetty ⋅ Suprith S ⋅ Surya S ⋅ Shlok Shah
Talking with Oompa Loompas: A Novel Framework for Evaluating Linguistic Acquisition of LLM Agents
Anshika Krishnatray ⋅ Sankalp Tattwadarshi Swain ⋅ Dhruv Kumar ⋅ Jagat Challa
Cross-Subject and Cross-Montage EEG transfer learning with Individual Tangent Space Alignment
Nicole Lai-Tan ⋅ Xiao Gu ⋅ Marios Philiastides ⋅ Fani Deligianni
Leveraging Machine Learning and Large Language Models for Enhanced Occupational Stress Detection
Mohammad Junayed Hasan ⋅ Jannat Sultana ⋅ Silvia Ahmed ⋅ Sifat Momen
Audio-Visual Open-Vocabulary Egocentric Spatio-Temporal Action Localization with NeRFs
Irene Ballester ⋅ Pedro Hermosilla ⋅ Wei Lin ⋅ Jim Glass ⋅ Muhammad Jehanzeb Mirza ⋅ Martin Kampel
Poly-Autoregressive Prediction for Modeling Interactions
Neerja Thakkar ⋅ Tara Sadjadpour ⋅ Jathushan Rajasegaran ⋅ Shiry Ginosar ⋅ Jitendra Malik
Beyond I-Con: A Roadmap for Representation Learning Loss Discovery
Jasmine L Shone ⋅ Shaden Alshammari ⋅ Mark Hamilton ⋅ Zhening Li ⋅ Bill Freeman
Kernel Distributionally Robust Recourse Action
Sita Bissu ⋅ Sandeep Kumar
Plot'n Polish: Zero-shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models
Kiymet Akdemir ⋅ Jing Shi ⋅ Kushal Kafle ⋅ Brian Price ⋅ Pinar Yanardag
Learning Visual Concepts via Vision Language Programs
Antonia Wüst ⋅ Hikaru Shindo ⋅ Wolfgang Stammer ⋅ Devendra Singh Dhami ⋅ Kristian Kersting
Towards Understanding Multimodal Fine-Tuning: A Case Study into Spatial Features
Lachin Naghashyar ⋅ Constantin Venhoff ⋅ Ashkan Khakzar ⋅ Philip Torr ⋅ Ronald Clark ⋅ Christian Schroeder de Witt
Evaluating AI Agent Persuasion of Safety Monitors
Jennifer Za ⋅ Julija Bainiaksina ⋅ Nikita Ostrovsky ⋅ Tanush Chopra ⋅ Victoria Krakovna
Which View Works Best? Evaluating Representations for Scientific Document Retrieval
Ghazal Khalighinejad ⋅ Raghuveer Thirukovalluru ⋅ Bhuwan Dhingra
Online two-sided markets: many buyers enhance learning
Anna Lunghi ⋅ Matteo Castiglioni ⋅ Alberto Marchesi
Do Biased Models Have Biased Thoughts?
Swati Rajwal ⋅ Shivank Garg ⋅ Reem Abdel-Salam ⋅ Abdelrahman Zayed
Subclass-Aware Inclusive Classifier via Repulsive Hidden Strata
Namita Bajpai ⋅ Jiaul Paik ⋅ Sudeshna Sarkar
BEDTIME: A Unified Benchmark for Automatically Describing Time Series
Medhasweta Sen ⋅ Zack Gottesman ⋅ Jiaxing (Joy) Qiu ⋅ C. Bayan Bruss ⋅ Nam Nguyen ⋅ Tom Hartvigsen
Context-Aware Neural Machine Translation of English Numerical Expressions to Yorùbá: A Fine-Tuning Approach for Financial and General Domains
Rashidat Damilola Sikiru ⋅ Olamide Shogbamu ⋅ Anthony Soronnadi ⋅ Olubayo Adekanmbi ⋅ Ife Adebara
Finding Reaction Mechanism Pathways with Deep Reinforcement Learning and Heuristic Search
Rojina Panta ⋅ Amin Tavakoli ⋅ Christian Geils ⋅ Pierre Baldi ⋅ Forest Agostinelli
Towards Democratizing LLMs: Investigating Multilingual Mixture-of-Experts Models
Aditi Khandelwal ⋅ Marius Mosbach ⋅ Verna Dankers ⋅ Siva Reddy ⋅ Golnoosh Farnadi
Development of a model for customer reviews and feedback on E-commerce website
Oluwakemi Christiana Abikoye ⋅ Muslimah Temiloluwa Solihu
REVEAL – Reasoning and Evaluation of Visual Evidence through Aligned Language
Ipsita Praharaj ⋅ Badrikanath Praharaj ⋅ Yukta Butala ⋅ Yash Parag Butala
AnnotateThis: Training research assistants to code subjective concepts with LLMs - a case study with climate change pessimism
Zexuan Li ⋅ Ariel Hasell ⋅ Grant Schoenebeck ⋅ Derek Van Berkel ⋅ Sabina Tomkins
Improving Vision-LLMs with Human Cognitive Signals
Angela Lopez Cardona ⋅ Sergi Abadal ⋅ Ioannis Arapakis
Interpreting GFlowNets for Drug Discovery: Extracting Actionable Insights for Medicinal Chemistry
Amirtha Varshini Anbuchezhiyan Sindhanai ⋅ Duminda Ranasinghe ⋅ Hok Hei Tam
TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents
Xinyu Li ⋅ Yifu Cai ⋅ Mononito Goswami ⋅ Michal Wilinski ⋅ Gus Welter ⋅ Artur Dubrawski
GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model
Vida Adeli ⋅ Soroush Mehraban ⋅ Benjamin Filtjens ⋅ Alan Whone ⋅ Majid Mirmehdi ⋅ Andrea Iaboni ⋅ Babak Taati
Two Steps from Hell: Compositionality on Chemical LMs
Kuzma Khrabrov ⋅ Alexander Panchenko ⋅ Elena Tutubalina
Neuroscience-Inspired Encoding and Learning: A Path to Robust Representation Learning
Mohammed-Yassine Habibi ⋅ Klea Ziu ⋅ Makoto Yamada
Dream Diary: Case Study on Diffusion LLM’s Arithmetic Behavior
Chiung-Yi Tseng ⋅ Maisha thasin ⋅ Blessing Effiong ⋅ Somshubhra Roy ⋅ Danyang Zhang
Causal Survival Analysis via Neural Mediation with Counterfactual Risk Estimation
Aiman Farooq ⋅ Deepak Mishra ⋅ Santanu Chaudhury
Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation
Mingfeng Fan ⋅ Jianan Zhou ⋅ Yifeng Zhang ⋅ Yaoxin Wu ⋅ Jinbiao Chen ⋅ Guillaume Sartoretti
Neither Valid Nor Reliable? Investigating the Use of LLMs as Judges
Khaoula Chehbouni ⋅ Mohammed Haddou ⋅ Jackie CK Cheung ⋅ Golnoosh Farnadi
LLM-Powered Graph Reasoning for Knowledge Discovery
Ioanna Gemou ⋅ Tassallah Abdullahi ⋅ Ritambhara Singh
AInstein: Can AI Rediscover Scientific Concepts from First Principles?
Shambhavi Mishra ⋅ Gaurav Sahu ⋅ Marco Pedersoli ⋅ Laurent Charlin ⋅ Jose Dolz ⋅ Chris Pal
Stress-Testing Byzantine Defenses under Data Heterogeneity
Latifa Errami ⋅ Hajar Hammouti ⋅ El Houcine Bergou
Aligning Agent Policies with Preferences: Human-Centered Interpretable Reinforcement Learning
Stephanie Milani ⋅ Zhicheng Zhang ⋅ Nicholay Topin ⋅ Lirong Xia ⋅ Fei Fang
G-Loss: Graph-Guided Fine-Tuning of Language Models
VINTI AGARWAL ⋅ Aditya Sharma
Intermediate Representations for Improved Code Translation with LLMs
Chi-en A. Tai ⋅ Lukasz Golab ⋅ Alexander Wong