Affinity Workshop Tue, Dec 2, 2025 • 8:00 AM – 5:00 PM PST Upper Level Ballroom 20CD

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

Schedule

Timezone: America/Los_Angeles

8:15 AM

Registration & Breakfast Registration

9:00 AM

Opening Remarks Opening remarks

Ana María Quintero-Ossa

9:15 AM

Ming Lin - Learning the Dynamic World Keynote

Ming Lin

9:45 AM

Maria Brbic - How AI Transforms Biomedicine and How Biomedicine Transforms AI Keynote

Maria Brbic

10:15 AM

Coffee break

10:45 AM

Mentorship roundtables Mentoring hour

12:15 PM

Lunch break

1:15 PM

Danielle Belgrave - Understanding the patient journey: From Machine Intelligence to Health Intelligence Keynote

Danielle Belgrave

1:45 PM

Jenn Wortman Vaughan - Can Generative AI Deepen Our Own Thinking? Supporting Appropriate Reliance, Human Agency & Beyond Keynote

Jennifer Wortman Vaughan

2:15 PM

Coffee Break

2:45 PM

Contributed Talks - Best abstracts Oral presentations

3:15 PM

WiML 20th Anniversary Testimonials Panel

3:45 PM

WiML 20th Anniversary Celebration Panel

4:00 PM

Networking Roundtables: A Time-Travel Through WiML Panel

4:45 PM

WiML President’s Remarks Closing remarks

Sarah Tan

The Representations of Deep Neural Networks Trained on Dihedral Group Multiplication Poster

Sihui Wei · Harley Wiltzer · Zhaoyue(Rebecca) Wang · Irina Rish

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Lightweight Vision Transformers for Mammography: Balancing Accuracy and Efficiency with Methodological Rigor Poster

Tisha Patel · Divya Chaudhary

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Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework Poster

Cléa Chataigner · Rebecca Ma · Prakhar Ganesh · Afaf Taik · Elliot Creager · Golnoosh Farnadi

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Addressing Data Scarcity in Women’s Health with Generative Autoencoders Poster

Karen DSouza

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Do Machines Think Emotionally? A Cognitive Appraisal Analysis of Large Language Models Poster

Sree Bhattacharyya · Lucas Craig · Tharun Dilliraj · Jia Li · James Wang

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PRISM-FL: Privacy-preserving Image Synthesis Mechanism for Federated Learning Poster

Efstathia Soufleri

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Building Text and Speech Benchmark Datasets and Models for Low-Resourced East African Languages: Experiences and Lessons Poster

Claire Babirye

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Efficient Data Selection for Split Neural Networks Poster

Humaira Kousar · Hasnain Irshad Bhatti

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When “Government-Approved” LLMs Silence Citizen Voices: Evidence of Systematic Demographic Bias in Federal Comment Analysis Poster

Sola Kim

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Batch-Adaptive Annotations for Causal Inference with Complex-Embedded Outcomes Poster

Ezinne Nwankwo · Lauri Goldkind · Angela Zhou

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AI-Powered Agritourism Chatbot: A Domain-Adapted RAG Chatbot with Transformer NLU for Rural Business Decision Support Poster

Xue A. Dong

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Understanding Adversarial Weakness in Vision-Language Models Poster

Maisha Rashid · Pablo Rivas

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Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning Poster

Ashka Shah · Adela DePavia · Nathaniel Hudson · Ian Foster · Rick Stevens

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SGEAG: Semantic-guided emotional-aware gesture generation from audio Poster

Jenifer Kalafatovich

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Can Text-to-Speech Systems enable Inclusive Computer-Based Testing? An Evaluation of Yoruba TTS for Visually Impaired Learners Poster

Kausar Moshood

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Evaluating the Causal Effect of Chain-of-Thought on Groundedness in Tool-Use Agents via Counterfactual Mutations Poster

Kateryna Solonko

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From Sensing to Reasoning: Multi-Modal Large Language Models Guiding Robotic Intelligence in Autonomous Labs Poster

Akshita Ramya Kamsali · Kristen Hallas · Aldair Gongora

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iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback Poster

Vinitra Swamy

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Investigating the Hate–Credibility Nexus Across Datasets and Content Formats Poster

Mikel K Ngueajio

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Efficient Spam Detection with Sentence-BERT using Adaptive Uncertainty-Diversity Ranking Coresets Poster

Aisha Hassan · Tushar Shinde

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Aligned Machine Poster

Jiechen Li · Hannah Groos · Brinnae Bent

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A Reinforcement Learning Approach for Personalized Automated Anesthesia Control Poster

Manuela Merlo · Francesco Trovò · Alberto Maria Metelli

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Generation of Multiple Types of Driving Scenarios with a Unified Generative Model for Autonomous Driving Poster

Manasa Mammen

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SicklePrenatal: Biometric-Guided Deep Learning For Early Sickle Cell Risk Detection From Fetal Ultrasound Poster

Bisiriyu Kofoworola

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Score-Based Denoising Diffusion Models for Photon-Starved Image Restoration Problems Poster

Savvas Melidonis · Yiming Xi · Konstantinos Zygalakis · Yoann Altmann · Marcelo Pereyra

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Accent-Aware Text-to-Speech for Nigerian English: Building Inclusive Voice AI from Community-Curated Data Poster

Christianah Oyewale · Benjamin Ogbonna

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TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale Poster

Malgorzata Gwiazda · Yifu Cai · Mononito Goswami · Artur Dubrawski

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Data-Driven Detection of Leaking Valves in Air Handling Units Poster

Maheen Abdul Ghani

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LLM-Enabled Semantic Caching for Affordable Web Access Poster

Hafsa Akbar · Danish Athar · Muhammad Ayain Fida Rana · Zartash Uzmi · Ihsan Ayyub Qazi · Zafar Qazi

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Can We Predict Alignment Before Models Finish Thinking? Towards Monitoring Misaligned Reasoning Models Poster

Yik Siu Chan · Yong Zheng-Xin · Stephen Bach

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Integrating Thermal Imaging and Deep Learning for Real-Time Strength Estimation in 3D Concrete Printing Poster

Bizu Birru

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Tag2M- A Task-Agnostic Knowledge Distillation Framework for Distilling Gnn to MLP Poster

Ram Ganesh · Ayush Singh · Aditi Rai · Harsh Pal · Deepanshu · Akshay Sethi · Aakarsh Malhotra · Sayan Ranu

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Reasoning with Preference Constraints: A Benchmark for Language Models in Many-to-One Matching Markets Poster

Marylou Fauchard · Florian Carichon · Margarida Carvalho · Golnoosh Farnadi

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IMAiGen: A Cross-Modal Image-to-Music Generation with a Non-Deep Learning Core Poster

Callie Liao · Duoduo Liao

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Identifying Key Predictors of Food Security in Mexico using Machine Learning Models Poster

Arianna Roehrich

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Optimizing Noise Distributions for Differential Privacy Poster

Atefeh Gilani · Juan Gomez · Shahab Asoodeh · Flavio Calmon · Oliver Kosut · Lalitha Sankar

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Discovering neo-Hebbian plasticity rules for reward-driven training of RNNs Poster

Dimitra Maoutsa

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Deep Models Under Domain Shift: A Sketch-Based Study Poster

Ritika Jain · Akshay Agarwal · Atul Kumar

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A robust parameterized enhanced shift-splitting preconditioner for three-by-three block saddle point problems Poster

Pinki Khatun

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Understanding LoRA Update Complexity Through Stable Rank Poster

Zaynab Awofeso · Antonio Orvieto · Jonas Geiping

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Bootstrapping-Based Regularisation for Stable Deep Learning Clinical Prediction Models Poster

Sara Matijevic · Christopher Yau

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How Well Do LLMs Unlearn Facts? - A Knowledge Graph Perspective Poster

Chahana Dahal · Zuobin Xiong

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Prompt Engineering for Imposter Scam Detection by Resourced-Constrained Organizations Poster

Shufan Chai · Liangliang Sun · Jessica Staddon

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Recurrent Hamiltonian Echo Learning Enables Biologically Plausible Training of Recurrent Neural Networks Poster

Alice S. Dauphin · Guillaume Pourcel

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Uncertainty-driven Multimedia Source File Matching Poster

PRIYANKA MARY MAMMEN

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Continual world model with counterfactual simulated interactions Poster

Sharmita Dey

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Differential Gated Self-Attention Poster

Elpiniki M. Lygizou · Radu Grosu

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Graph Dreamer: Temporal Graph World Models for Sample-Efficient and Generalisable Reinforcement Learning Poster

Anaïs Berkes · Donna Vakalis · Yoshua Bengio · David Rolnick

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Hierarchical Decision-making via Multi-turn Reinforcement Learning Poster

Sangeun Park · Minhae Kwon

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Narrative2Music: Generating Emotion-Aligned Music for Sentences Poster

Mohammad Shokri · Alexandra Salem · Johanna Devaney

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Netlist‑Level Design and Evaluation of Stealthy Hardware Trojans Poster

Angelica Brillantes

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SignFormer-GCN: Continuous Sign Language Translation using Spatio-Temporal Graph Convolutional Networks Poster

Rabeya Akter · Safaeid Hossain Arib · Sejuti Rahman · Shafin Rahman

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Empirical Evidence of the Hidden Costs of Overparameterization: Prediction Instability in Statistical & Machine Learning Models Poster

Elizabeth Miller

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Learning to Handle Constraints in Routing Problems via a Construct-and-Refine Framework Poster

Jieyi Bi · Zhiguang Cao · Jianan Zhou · Wen Song · Yaoxin Wu · Jie Zhang · Yining Ma · Cathy Wu

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Mind the Gap: LLM Actions vs. Human Social Understanding in Moral Dilemmas Poster

Jiseon Kim · Jea Kwon · Luiz Felipe Vecchietti · Wenchao Dong · Alice Oh · Meeyoung Cha

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Toward Scalable and Physically-Grounded Learning Frameworks: Neural Finite Volume Methods for Solving Hyperbolic PDEs Poster

Zhe Fu

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Spectral–Topology-Aware KG-MARL for 5G V2V Sidelink Poster

ANNU . · Rajalakshmi pachamuthu

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Factorization Machine-Enhanced Crossformer for Multivariate Time Series Event Detection in Epidemic Poster

Fahim Azad

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PRIME Guardrails: A General, Low‑Latency Safety Framework for Generative AI Poster

Afshaan Mazagonwalla · Yiran Ivy Si

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Distributed Specialization: How Transformers Process Rare Tokens Through Parameter Differentiation Poster

Jing Liu

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Continual Neural Topic Model Poster

Charu Karakkaparambil James · Waleed Mustafa · Marius Kloft · Sophie Fellenz

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Machine Learning Models for Predicting Suicidal Ideation in University Students Poster

Fernanda Rubio

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Dynamic 3D MRI Reconstruction from Single-Spoke via Motion-Compensated Neural Representation Poster

Lixuan Chen · James Balter · Liyue Shen · Jeong Joon Park

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Political Bias in Neural Retrieval: Model-Agnostic Measurement on Canadian Social Media Poster

Zeynep Pehlivan

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Network Inversion for Uncertainty-Aware Out-of-Distribution Detection Poster

Pirzada Suhail · Rehna Afroz Shaik · Gouranga Bala · Amit Sethi

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Reduced-Dimensional Anomaly-Aware Generalization for Deepfake Image Detection Poster

Archita . · Soumya Sharma

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Imputation Free Deep Survival Prediction using Conditional Variational Autoencoders Poster

Natalia Hong · Christopher Yau

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Modeling Dynamical Systems of Energetic Materials: Physics-Aware Convolutional Neural Networks in a Latent Space (LatentPARC) Poster

Zoe Gray · Stephen Baek

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Overcoming Data Scarcity in Depth-Based Human Action Recognition via Zero-Shot Depth Estimation Poster

Rebeka Angyal

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Embedding Emotions: Measuring What Matters in Flemish Daily Stories Poster

Ratna Kandala · Katie Hoemann

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Prompt Engineering for Spanish Sexism Detection Poster

Maria Limaylla-Lunarejo

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How to Give Health-Behavioural Recommendations Using Meta-Reinforcement Learning to Reduce Cancer Risk Poster

Gloria Desideri · Andrés Pasinetti · Alberto Maria Metelli · Francesco Trovò

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LEMON: A Unified and Scalable 3D Multimodal Model for Universal Spatial Understanding Poster

Yongyuan Liang · Furong Huang

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Foundation model based prostate cancer segmentation on whole mount digitized H&E radical prostatectomy section Poster

Yamlak Bogale · Rakesh Shiradkar

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Gricean Maxims in LLM Development Poster

Nandhini Swaminathan · David Danks

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SpatialThinker: Reinforcing 3D Reasoning in Multimodal LLMs via Spatial Rewards Poster

Hunar Batra · Haoqin Tu · Hardy Chen · Yuanze Lin · Cihang Xie · Ronald Clark

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SENSE: SENsing Similarity SEeing Structure Poster

Nikita Malik · Mohit Kataria · Sandeep Kumar

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Multi-Architecture Temporal Models for Early Symptom-Based Disease Prediction Poster

Harika Mahapatra

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ORANGE: A Machine Learning Approach for Modeling Tissue-Specific Aging from Transcriptomic Data Poster

Wasif Jalal · Mubasshira Musarrat · M. Sohel Rahman

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Multimodal Asymmetric Convolutional Autoencoder for Vehicle Small Damage Detection Poster

Sara Khan

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Comparative Analysis of Machine Learning Models for Climate Change Sentiment Classification: A Multi-Method Evaluation Study Poster

Rasheed OYEWOLE · Rafiat Akodu · Toheeb Jumah · Sanda Taiwo · Salam Taoubane

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Safe Reinforcement Learning Framework Under a Linear Programming Formulation Poster

Sharlin Utke · Jeremie Houssineau · Long Tran-Thanh

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Multimodal Neuroimaging Fusion for Alzheimer's Disease: An Image Colorization Approach With Mobile Vision Transformer. Poster

Modupe Odusami

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A Multimodal Retrieval-Augmented Generation System for Banking Knowledge Access Poster

Sodanou SOME

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Cognitive Machine Learning for Reducing Survey Fatigue in Clinical Trials Poster

Shruti Kaushik

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CAVE: Detecting and Explaining Commonsense Anomalies in Visual Environments Poster

Rishika Bhagwatkar · Syrielle Montariol · Angelika Romanou · Beatriz Borges · Irina Rish · Antoine Bosselut

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DP-MicroAdam: Private and Frugal Algorithm for Training and Fine-tuning Poster

Mihaela Hudişteanu · Nikita Kalinin · Ionut-Vlad Modoranu · Edwige Cyffers

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Mitigating Knowledge Entropy: A Multi-Agent Framework with Decoupled Reranking and Governance-by-Design Poster

Ruchi Awasthi · Gauri Kholkar

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Towards Inclusive NLP: Benchmarking and Mitigating Bias in Named Entity Recognition for African Languages and Entities. Poster

Nunsi Shiaki

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Towards Test-Time Adaptation for Neural Surrogates Poster

Anna Zimmel · Gianluca Galletti · Paul Setinek · Johannes Brandstetter · Werner Zellinger

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Instruction-based Time Series Editing Poster

Jiaxing (Joy) Qiu · Tom Hartvigsen

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LVT: Large-Scale Scene Reconstruction via Local View Transformers Poster

Tooba Imtiaz · Lucy Chai · Kathryn Heal · Xuan Luo · Jungyeon Park · Jennifer Dy · John Flynn

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Voices of Fashion: 150-Hour Yoruba Speech Corpus for Egba Adire and Color Advisory Systems Poster

Morayo Lawal · Olanrewaju Lawal

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CubicVLA: Efficient Robot Action Representation via Cubic Trajectory Parameterization Poster

Yandong Ji · Emily Chen · Xiaolong Wang

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Intrinsic Meets Extrinsic Fairness: Assessing the Downstream Impact of Bias Mitigation in Large Language Models Poster

Mina Arzaghi · Alireza Farashah · Florian Carichon · Golnoosh Farnadi

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Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling Poster

Mónika Farsang · Ramin Hasani · Daniela Rus · Radu Grosu

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SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic Languages Poster

Hannah Liu

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Towards Well-Calibrated AutoML: A Theoretical Analysis based on Ensemble Diversity Poster

Salomey Osei

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Lightweight Continual Learning for Cervical Cancer Diagnosis with Synthetic Augmentation and Explainable AI Poster

Roseline Oluwaseun Ogundokun

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Learning Robust Multimodal Control for Resource-Constrained Platforms Poster

Mihaela-Larisa Clement · Felix Resch · Radu Grosu

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Unifying Mechanistic Interpretations of Neural Networks Trained on Modular Addition Poster

Gabriela Moisescu-Pareja · Gavin McCracken · Vincent Létourneau · Doina Precup · Jonathan Love

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FEEL: Modeling Physiological Diversity for Robust Emotion Recognition Poster

Pragya Singh

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QuantumConoMix: Benchmarking Shallow VQCs for Resource-Constrained Peptide Classification Poster

Tia Pope

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Strategic Feature Selection Poster

Jivat Neet Kaur · Divya Shanmugam · Emma Pierson · Michael Jordan · Nika Haghtalab · Ahmed Alaa · Serena Wang

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SCRIBE: A Fine-Tuned Transformer Embedding Model for Evaluating Medical School Personal Statements Poster

Steven Fernandes

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Biologically Refined Imputation via Diffusion for Gene Expression Poster

Maitry Ronakbhai Trivedi · Qi Wang · Yi Su · Teresa Wu

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From National Goals to Industry Action: AI-Driven Forecasting of India’s Carbon Emissions Poster

Anushka Chaubey · Tushar Shinde

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Beyond Data Scarcity: Quality Barriers to Trustworthy AI in Low-Resource Medical Imaging Poster

Oyindamola Olatunji

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RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data Analysis Poster

Anku Rani · Aparna Garimella · Apoorv Saxena · Balaji Vasan Srinivasan · Paul Liang

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Adversarial Priors Unleashed with Soft Actor Critic Poster

Nayari Marie Lessa · Melya Boukheddimi · Frank Kirchner

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No-Regret Contextual Bandits for Cost-Sensitive Decision-Making Poster

Rohini Das

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RetinaSynth: Diffusion‑Based Synthetic Imaging Poster

Amina Kurtovic · Amila Akagic

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Persona-Infused Dynamic Collaborative Decoding Poster

Xiangjue Dong

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Multimodality extension to Universal Multilingual BPE Text Tokenizer Poster

Priya Talwalkar

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Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation Poster

Radhika Dua · Young Joon Kwon · Siddhant Dogra · Daniel Freedman · Motaz Nashawaty · Daniel Alber · Kyunghyun Cho · Eric Oermann

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TARnISHED: Forecasting Emergency Department visits using Wastewater with Multivariate Gaussian Random Walks Poster

Rebeca Cardim Falcao · Michael Irvine · Hind Sbihi · David McVea

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Computer-assisted cyclist road safety warning system Poster

Nthabiseng Thema

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Graph-Based Multimodal Learning for Early Sepsis Prediction in Resource-Constrained Clinical Settings Poster

Sofia Bourhim

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Trustworthiness of LLMs in Grading and Demographic Fairness in Medical RAG Poster

Marina Diaconu · Adejumobi Joshua

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Federated Learning and Class Imbalances - А Study on Breast Lesion Segmentation in DCE-MRI Poster

Marija Nedeljković

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Speak, Start, See, Sense: How NLP, Robotics, and Computer Vision can Improve Automated Experimentation in Self-driving Labs Poster

Kristen Hallas · Tarun Allaparti · Akshita Ramya Kamsali · Aldair Gongora

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Cognitive Decision Intelligence Framework for Explainable AI Systems Poster

Elena Sajno · Andrea Pugnana · Roberto Pellungrini

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Evaluating and Enhancing Large Language Models in Generating UML Class Diagram for Good Code Design Poster

Rabia Iftikhar · Andreas Rausch

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$Addressing Racial Bias in AI-Driven Photo Restoration: Enhancing Fidelity for African Facial Features$ Poster

Bitseat Tadesse Aragaw

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Inclusive Education through AI: A Framework for Swahili - English Audio Access in Tanzanian Libraries Poster

Theofrida J Maginga

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Conv-GRU Temporal Refiner for Prandial Recommendations in Type 1 Diabetes Poster

Fariza Siddiqua · Maruf Shuvo

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Law-like Principles for Artificial Intelligence: Better Construction and Interpretation of Rules Poster

Luxi He

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The Social Laboratory: A Psychometric Framework for Multi-Agent LLM Evaluation Poster

Zarreen Reza

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Invariant Graph Representations Learning via Redundant Information Poster

Barproda Halder · Pasan Dissanayake · Sanghamitra Dutta

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OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields Poster

Lisa Weijler · Sebastian Koch · Fabio Poiesi · Timo Ropinski · Pedro Hermosilla

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Analysing and Classifying Legal Texts on Mexican Cases of Domestic Violence: A Natural Language Processing and CNN-Based Approach Poster

Nayely Iturbe · Nataliia Efremova

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Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare Poster

Promise Ekpo · Thomas Wiener · Brian La · Saesha Agarwal · Arshia Agrawal · Gonzalo Gonzalez-Pumariega · Olalekan Ogunmolu · Angelique Taylor

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Stable and Uncertainty-Aware Local Post-hoc Explanations Using Active Learning Poster

Sumedha Chugh · Ranjitha Prasad

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Explainable Multimodal Machine Learning for ESG Rating Prediction Poster

Krishalika Rathnayake

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Causal Strengths and Leaky Beliefs: Interpreting LLM Reasoning via Noisy-OR Causal Bayes Nets Poster

Hanna Dettki

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Revisiting Replay and Gradient Alignment For Continual Pretraining of Large Language Models Poster

Istabrak Abbes · Gopeshh Subbaraj · Matthew Riemer · Nizar Islah · Benjamin Thérien · Tsuguchika Tabaru · Hiroaki Kingetsu · Sarath Chandar · Irina Rish

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Deep Learning for Urban Planning and Location-Based Services Poster

Nripsuta Saxena · Shang-Ling Hsu · Cyrus Shahabi · Abigail Horn

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ÒWE-YOR: Leveraging Transformer Based Models for Yoruba Proverb Classification Poster

Joy Olusanya

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Calibration-Free Passenger Re-ID in Mixed-Modality, Crowded Buses in East Africa Poster

Mercy Nthenya Kyatha · Jay Taneja

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Unmasking COVID-19 Vulnerability in Nigeria: Mapping Risks Beyond Urban Hotspots Poster

Sheila Wafula · Blessed Madukoma

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Milk Prediction Using Conformation Traits as Privileged Information Poster

Awa Samaké · Abdoulaye Baniré Diallo

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From Mechanisms to Models: Multi-Modal Machine Learning for Kinetically Constrained Genome-Scale Metabolic Models Poster

Rana Ahmed Barghout · Lya Serrano · Benjamin Sanchez-Lengeling · Radhakrishnan Mahadevan

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Fairness-Aware Resource Optimization in Federated Learning Poster

Ouiame Marnissi

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Who is In Charge? Dissecting Role Conflicts in LLM Instruction Following Poster

Siqi Zeng

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Greenwashing Detection with Causal Explanation: A Novel Multi-layered Approach Poster

Protima Nomo Sudro · Shreya Mukhopadhyay

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Beyond Detection: Predicting Code-Switch Points in Multilingual Conversations Poster

Jiawen Xie · Peng Zhang · Jayash Koshal · Shanu Sushmita

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Pidgin Science Voices: A Community-Driven Speech Corpus for Inclusive STEM Education Poster

Flora Oladipupo

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Data Driven AI: Federated Explainable AI for Privacy-Preserving Lung and Colon Cancer Medical Image Diagnosis Poster

CECILIA ADENUSI

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Fine-Tuning Large Language Models on EHR Data for Early Endometriosis Diagnosis in Adolescents Poster

Shaida Soroush · Victoria Lazarov · Leslee Shaw · Rebecca Cohen · Ipek Ensari · Anurag Patil · Nivedita Nukavarapu · Emily L. Leventhal · Sarriyah Hanif

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Physics-Informed Graph Diffusion for Climate Downscaling Poster

Sophia Abraham

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Contrastive Representations for Temporal Reasoning Poster

Alicja Ziarko · Michał Bortkiewicz · Michał Zawalski · Benjamin Eysenbach · Piotr Miłoś

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FairSimCLR: A Fairness-Aware Contrastive Learning Framework for Demographic Bias Mitigation in Dermatology Imaging Poster

Comfort Adesina

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Explaining and Predicting Fine-Tuning in Large Models via Linearization Poster

Zahra Rahimi Afzal · Tara Esmaeilbeig · Mojtaba Soltanalian · Mesrob I Ohannessian

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LLM-based Code Evaluation for Fairness Poster

Ritta Mfa · Surbhi Rathore · Ayman Sandouk · Sarah Brown

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Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation Poster

Sajani Vithana

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Can We Estimate The Entropy Of Arbitrary Distributions Known Up To A Normalization Constant? A Tale of Stein Variational Gradient Descent Scalability Poster

Safa Messaoud · Skander Charni · Elaa Bouazza · Ali Pourghasemi Fatideh · Halima Bensmail

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VesselGPT: Autoregressive Modeling of Vascular Geometry Poster

Paula Feldman · Martin Sinnona · Claudio Delrieux · Viviana Siless · Emmanuel Iarussi

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Summarizing Diagnoses from Clinical Notes: Towards a Benchmark and Systematic Evaluation Poster

Rekha Regar

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Interpretable KPI Analytics for Resource-Efficient AI-RAN Intelligence Poster

Dayoung Choi · Siyoun Park · Jungmin Kwon · Hyunggon Park

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Automated Triage Classification in Emergency Services Using Spanish Clinical Notes: A Comparative Analysis between ALBERT and Classical Machine Learning Approaches Poster

Xaviera Cortes · Benjamin Genaro · Felipe Maraboli · José Manríquez-Troncoso

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Fixed Aggregation Features Can Rival GNNs Poster

Celia Rubio-Madrigal · Rebekka Burkholz

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Improving BGE-M3 Multilingual Dense Embeddings for Nigerian Low Resource Languages Poster

Abdulmatin Omotoso · Habeeb Shopeju · Adejumobi Joshua · Shiloh Oni

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Foundation Models on a Budget: Approximating Blocks in Large Vision Models Poster

Irene Cannistraci · Simone Antonelli · Emanuele Palumbo · Thomas Sutter · Emanuele Rodolà · Bastian Rieck · Julia Vogt

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Robustness of Vision-Based Human Activity Recognition under Naturalistic Distribution Shifts Poster

Ghazal Kaviani · Yavuz Yarici · Ghassan AlRegib

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An Explainable Machine Learning Framework for K–12 Artificial Intelligence Education Poster

Sizhu Qu · Huihui Wang

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Personalizing Foundation Models for Cancer Imaging: A Study on Lymph Node Segmentation with SAM2 and MedSAM2 Poster

Nida Saddaf Khan · naveen garg · Xiaoqian Jiang

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Improving Generation Quality of Long-Tailed Diffusion via Disentangled Latent Representations Poster

Esther Rodriguez · Monica Welfert · Samuel McDowell · Nathan Stromberg · Julian Camarena · Lalitha Sankar

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Spatio-Temporal Dual Attention with Cross-Sensor Attention for Enhanced IMU-based Human Activity Recognition Poster

Meenambika Chandirakumar

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AgentX: Automating AI Agent Creation with No-Code, Prompt-Driven Orchestration Poster

Siri N Shetty · Suprith S · Surya S · Shlok Shah

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Generating and Adapting Audio Description with Vision–Language Models for Blind and Low-Vision Users Poster

Lana Do

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Talking with Oompa Loompas: A Novel Framework for Evaluating Linguistic Acquisition of LLM Agents Poster

Anshika Krishnatray · Sankalp Tattwadarshi Swain · Dhruv Kumar · Jagat Challa

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Auto-Prompt-Tuner: A Framework for Meta-LLM driven Prompt Optimization Poster

Soumya Gupta

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CardioPredictor: An Intelligent IoT-Based Risk Prediction Model for Cardiovascular Disease in Low Resourced Environments Poster

Busolami Elizabeth Oluwadamilare

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Machine learning discovery of regional and social disparities in electric vehicle charging reliability Poster

Yifan Liu

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Cross-Subject and Cross-Montage EEG transfer learning with Individual Tangent Space Alignment Poster

Nicole Lai-Tan · Xiao Gu · Marios Philiastides · Fani Deligianni

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LISTEN: Leveraging Open-Weight LLMs for Real-Time Monitoring of Health Misinformation on Social Media Poster

Lisa Tang

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Temporal Kolmogorov-Arnold Networks for Robust Multi-Horizon PM$_ {2.5}$ Forecasting Poster

Dzodzoenyenye Senanou · Uriel Nguefack Yefou

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Leveraging Machine Learning and Large Language Models for Enhanced Occupational Stress Detection Poster

Mohammad Junayed Hasan · Jannat Sultana · Silvia Ahmed · Sifat Momen

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Audio-Visual Open-Vocabulary Egocentric Spatio-Temporal Action Localization with NeRFs Poster

Irene Ballester · Pedro Hermosilla · Wei Lin · Jim Glass · Muhammad Jehanzeb Mirza · Martin Kampel

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Poly-Autoregressive Prediction for Modeling Interactions Poster

Neerja Thakkar · Tara Sadjadpour · Jathushan Rajasegaran · Shiry Ginosar · Jitendra Malik

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Artificial Mental Modeling by Leveraging Prescriptive Components in Large Language Models (LLMs) Poster

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Beyond I-Con: A Roadmap for Representation Learning Loss Discovery Poster

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Kernel Distributionally Robust Recourse Action Poster

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Plot'n Polish: Zero-shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models Poster

Kiymet Akdemir · Jing Shi · Kushal Kafle · Brian Price · Pinar Yanardag

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Learning Visual Concepts via Vision Language Programs Poster

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Flatness-Aware Regularization for Robust Generalization in Deep Neural Networks Poster

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Towards Understanding Multimodal Fine-Tuning: A Case Study into Spatial Features Poster

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The Exposome Interpreter as a Multi-modal Framework for Autoimmune Trigger Identification Poster

Kritika Chugh

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Exact Learning Dynamics of Bottlenecked and Wide Deep Linear Networks Poster

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HIFoD: Rethinking Indicators of Compromise in Heterogeneous Image Forgery Detection, Classification and Localization Poster

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V-Trans4Style: Visual Transition Recommendation for Video Production Style Adaptation Poster

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FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation Poster

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Low-Resource Rhythm Learning: Machine Learning Approaches to Structured Classical Beats Poster

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Hybrid SNN-Transformer Networks for Event-Based, Energy-Efficient Large-Scale Learning Poster

SREE BHARGAVI BALIJA

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Evaluating AI Agent Persuasion of Safety Monitors Poster

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Which View Works Best? Evaluating Representations for Scientific Document Retrieval Poster

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Online two-sided markets: many buyers enhance learning Poster

Anna Lunghi · Matteo Castiglioni · Alberto Marchesi

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Do Biased Models Have Biased Thoughts? Poster

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Subclass-Aware Inclusive Classifier via Repulsive Hidden Strata Poster

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Robust phoneme classification under adverse conditions using MEG data Poster

Sharon Cristell Quispe Carhuapoma

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Electroencephalogram Interpretable Signal Processing for Anesthesia Predictive Monitoring with Knowledge Distillation Poster

Nakacwa Sandra

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Can AI-powered urban green space monitoring help African cities build climate resilience while addressing environmental inequities Poster

Choukouriyah Arinloye

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BEDTIME: A Unified Benchmark for Automatically Describing Time Series Poster

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Ensemble Deep Learning for Forecasting Lassa Fever Outbreaks in Nigeria: Integrating Incidence and Weather Data for Early Warning Poster

Iyanu P Adegun

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Tonative: Community-Driven Extension of African Datasets Through Human-AI Collaboration Poster

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Causal Investigations of Compound AI System Behaviors: Applications in Synthetic Audio Detection and Air Combat Training Scenario Generation Poster

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Context-Aware Neural Machine Translation of English Numerical Expressions to Yorùbá: A Fine-Tuning Approach for Financial and General Domains Poster

Rashidat Damilola Sikiru · Olamide Shogbamu · Anthony Soronnadi · Olubayo Adekanmbi · Ife Adebara

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Finding Reaction Mechanism Pathways with Deep Reinforcement Learning and Heuristic Search Poster

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Advancing Equitable AI: Evaluating Cultural Expressiveness in LLMs for Latin American Contexts Poster

Jennifer Drewyor · Brigitte Reyes · Abel Reyes-Angulo

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Aditi Khandelwal · Marius Mosbach · Verna Dankers · Siva Reddy · Golnoosh Farnadi

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Development of a model for customer reviews and feedback on E-commerce website Poster

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REVEAL – Reasoning and Evaluation of Visual Evidence through Aligned Language Poster

Ipsita Praharaj · Badrikanath Praharaj · Yukta Butala · Yash Parag Butala

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FairFusion: Distributionally Robust Fair-Multimodal Learning for College Admissions Poster

AMISHA PRIYADARSHINI · Sergio Gago-Masague

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AnnotateThis: Training research assistants to code subjective concepts with LLMs - a case study with climate change pessimism Poster

Zexuan Li · Ariel Hasell · Grant Schoenebeck · Derek Van Berkel · Sabina Tomkins

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From Algorithm to Alliance: A Blueprint for Responsible and Explainable AI in Mental Health Screening Poster

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Separating Control and Data Planes for Safe Agentic Browsing Poster

Yashaswi Pupneja

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Targeted GAN Unlearning via Mode Suppression under Memory Budgets Poster

Kaustubha V

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Conditional Adversarial Random Forest for Synthetic Electronic Health Record Generation Poster

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Risk-Aware Deep Reinforcement Learning with Hierarchical Adaptation for XAU/USD Trading Poster

Tsebaot Wubeshet

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Improving Vision-LLMs with Human Cognitive Signals Poster

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Conformal Prediction for Time-series Forecasting with Change Points Poster

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Climate-Driven Malaria Prediction in Southwest Nigeria: Early Results from a Weighted Deep Learning Ensemble Framework Poster

Abimbola Afolayan

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Interpreting GFlowNets for Drug Discovery: Extracting Actionable Insights for Medicinal Chemistry Poster

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Topology Matters: How Scale and Alignment Reshape Multilingual Spaces Poster

Oumaima Hourrane

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TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents Poster

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REPLAY-BASED CONTINUAL FEDERATED LEARNING USING INCREMENTALLY AGGREGATED GRADIENTS Poster

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GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model Poster

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BiasEdit: Debiasing Stereotyped Language Models via Model Editing Poster

Xin Xu

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Mental Accounts for Actions: EWA-Inspired Attention in Decision Transformers Poster

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See No Evil: Adversarial Attacks on Referring Multi-Object Tracking Systems Poster

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Two Steps from Hell: Compositionality on Chemical LMs Poster

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CGR-SMILES: A Compact and Universal Sequence Representation for Chemical Reaction Modeling Poster

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Online Anti-sexist Speech: Identifying Resistance to Gender Bias in Political Discourse Poster

Aditi Dutta

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A Hybrid AI Framework for Automating High-Stakes Procurement Workflows Poster

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Personalized AI-driven Teacher’s Comment Model for Nigerian Secondary School Students’ Result Poster

Alaran Adunni

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Addressing Domain Shift in Low-Resource Neuroimaging: Glioma Segmentation for Sub-Saharan MRI Poster

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Unveiling Signal Property Usage in Transformers for Time Series Classification Poster

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Agentic Multilingual NLP for Conflict Forecasting from Open-Source Text Streams Poster

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ViAD : A Novel Strategic Robotic Navigation Methodology Poster

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Reward the Reward Designer: Making Reinforcement Learning Useful for Clinical Decision Making Poster

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From Prediction to Causation: Active Experiment Design for Robust Discovery Poster

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Dialect-Aware Neural Models for Low-Resource African Languages: A Case Study on Igbo Poster

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Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation Poster

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AI-Driven Accident Detection and Emergency Response for Low-Resource Settings Poster

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Layer of Truth: How Much Poison Is Enough? Illusory-Truth Effects in Continual Pre-training Poster

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Neither Valid Nor Reliable? Investigating the Use of LLMs as Judges Poster

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LLM-Powered Graph Reasoning for Knowledge Discovery Poster

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AInstein: Can AI Rediscover Scientific Concepts from First Principles? Poster

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Stress-Testing Byzantine Defenses under Data Heterogeneity Poster

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Finding Memo: The Hidden Influence of Memorization in Large Language Models’ Performance – A Critical Analysis of Benchmark Evaluation Poster

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Perceptual Regularization from Human Visual System Models Improves Adversarial Robustness Poster

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Aligning Agent Policies with Preferences: Human-Centered Interpretable Reinforcement Learning Poster

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Embodied Relational Intelligence: A Feminist-Informed Framework for Inclusive Multimodal Agents Poster

Meriem Mehri

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G-Loss: Graph-Guided Fine-Tuning of Language Models Poster

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Individually Fair Clustering with Outliers Poster

Binita Maity

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Intermediate Representations for Improved Code Translation with LLMs Poster

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