Affinity Event Tue, Dec 8, 2026 • 8:00 AM – 5:00 PM AEDT Grand Ballroom 1

WiML

Santhoshi Ravichandran ⋅ Daphne Charles

Chat is not available.

Schedule

Time zone: Conference local time zone

The Silence of the Facts: Popularity as a Barrier to Machine Unlearning

Anna Borisiuk ⋅ Andrey Savchenko ⋅ Alexander Panchenko ⋅ Elena Tutubalina

Machine Learning for Educational Assessment of Students with Disability

Sadia Nawaz

SCoPE: Sampling with Confidence via Predictive Information for Local Explanations

Sumedha Chugh ⋅ Ranjitha Prasad ⋅ Nazreen Shah

Controllable Stress in Text-to-Speech via Weakly-Supervised Prosody Detection

Anindita Mondal

Task-Lens: Cross-Task Utility Based Speech Dataset Profiling for Low-Resource Indian Languages

Swati Sharma ⋅ Anubha Gupta

Residual Learning of Few-Body Molecular Wave Functions with Symmetry-Aware Representations

Meital Bojan ⋅ Alex Bronstein

Highlighting the Human Side: Covering the Last Mile of Route Optimization

Elena Sajno

Segmentation From Attention: Training-Free Layer Selection and One-Shot Tuning for Segmentation in VLMs

Mir Rayat Imtiaz Hossain ⋅ Mennatullah Siam ⋅ Leonid Sigal ⋅ Jim Little

Validation-Gated Knowledge Transfer for Heterogeneous Federated Time-Series Models

Malshani Hettiarachchi

Hierarchical Context Memory Architecture for Persistent KV-Cache Reuse in Multi-Agent LLM Serving

Prachi Kedar

AQFormer: severity-aware transformer with aphasia-specific CAM for spoken keyword classification in aphasic speech

Gowri Prasood Ushakumari

Drift-Aware Coordination Learning for LLM-Based Multi-Agent Systems

Sangeun Park ⋅ Minhae Kwon

TransZoomer: Efficient Transformers for Arbitrary Image Resolutions

Shivani Mall ⋅ João Henriques

Ensemble Deep Learning for Automated Opuntia Species Identification and Structural Quantification

Rafiat BAMIMORE AKODU ⋅ Rasheed OYEWOLE ⋅ Christianah Oyewale

Adversarial Examples Leave Geometric Signatures in Vision-Language Models

Afsaneh Hasanebrahimi

Adapting Multilingual Self-Supervised Speech Models for Low-Resource African Child Speech Recognition

Risuna Nkolele

Does the Foundation-Model Paradigm Transfer to Earthquake Data?

Laura Laurenti ⋅ David Liu ⋅ Brian Kulis ⋅ Christopher Johnson

Remembering What Matters: Gated and Bounded Memory for Agentic Systems

Pearl Mody

UMA-DOS: Transfer Learning from Pretrained Atomistic Models for Density of States Prediction

Klea Ziu Ziu ⋅ Martin Takac

Predicting Critical Care Ultrasound Penetration Using Ensemble Least Absolute Shrinkage And Selection Operator In High-Dimensional Data

Pixel-level understanding of a world in motion within a neural encoding framework

Mai Gamal ⋅ Muhammed Abdel Hamid ⋅ Eman Nasef ⋅ Seif Eldawlatly ⋅ Mennatullah Siam

Memory-Enhanced Neural Solvers for Routing Problems

Refiloe Shabe

What Actually Matters in Sensor Anomaly Detection? A Controlled Cross-Domain Study of Fusion, Temporal Context, and Metrics

Sara Khan

Individualized and Subtype-Aware Representation Learning in Biomedical Data

Sai Spandana Chintapalli

Reproducible and Interpretable Patient-Specific Seizure Prediction with Feature and Prototype Fusion

Melat Desta

YoNER: A New Multi-Domain Named Entity Recognition Dataset and Monolingual Pretrained Language Model for Yorùbá

Beyond Edge Maps: Wavelet-Domain Conditioning for Multi-Adapter Map-to-Satellite Diffusion

Arisha Prasain

Leveraging single-sample networks for predictive modelling of longitudinal clinical data

Christel Sirocchi ⋅ Farnaz Rahimi ⋅ Hryhorii Chereda

Beyond FID: Evaluating Synthetic OCT Images for Alzheimer's Disease Screening Using a Multi-Metric Framework

Memoona Sami ⋅ Farshid Hajati

Energy-Aware Topic Modelling of Multilingual Nigerian Lyrics: Dataset, Methods, and Results

Sakinat Folorunso

Beyond Predictive Performance: Explaining Machine Learning and Tabular Deep Learning Models for Heart Disease Prediction

Olusola Oluwakemi Abayomi-Alli

Emotion-Aware Talking Face Generation via Audio-Visual Feature Aggregation

Jenifer Kalafatovich

The Symmetries of Three-Layer ReLU Networks

Johanna Marie Gegenfurtner ⋅ Moritz Grillo ⋅ Guido Montufar

Self-Attention-Guided Transferable Gray-Box Adversarial Patch Attacks on Vision Transformers

Thuy T Nguyen

L-MRCA: Landmark-Free Multi-Output Regional Curvature Analysis in Adolescent Idiopathic Scoliosis

Christine Akoto-Nimoh

More Thinking, Less Reading? Separating Reasoning Utility from Evidence Selection in Factual QA

Azka Ikramullah ⋅ Seong Oun Hwang

V1-LSM: Biologically Structured Liquid State Machines for Event-Based Vision

Devashri Deulkar

Where You Put the Space Matters: Boundary-Conditioned Whitespace Robustness in Thai Dense Retrieval

Arisa Umparat ⋅ Passin Pornvoraphat

WHEN SHOULD PRE-SLEEP MONITORING BEGIN? AN EXPLAINABLE EVALUATION OF TEMPORAL WINDOWS FOR SLEEP FRAGMENTATION PREDICTION

Adaora Angela Obayi

Interpretable Machine Learning from Short Duration Photoplethysmography for Peripheral Artery Disease Detection

Ava Fascetti ⋅ Shamim Nemati ⋅ Elsie Ross ⋅ Edward Wang

Disentangling Climate, Seasonality, and Case-History Signals for Malaria Prediction Across Nigeria

Abimbola Afolayan ⋅ Anjolaoluwa G. Onyilo

SPICI: Signal Property-Induced Classification and Interpretability for Time-Series Transformers

Nirasha Munasinghe ⋅ Sandareka Wickramanayake

HyperDefender: A Robust Framework for Hyperbolic GNNs

Nikita Malik ⋅ Sandeep Kumar

Confidence-Aware Early Exit for Resource-Constrained Multimodal Question Answering

Kaustubha V

A Retrieval-Grounded Multilingual Advisory System for Postharvest Decision Support in Low-Resource Settings: Design and Evaluation

Yudaya Nansukusa

When Interpretability Tools Silently Fail: Feature Absorption and the Reliability of SAE Safety Interventions

Nishitha A

AI-Powered Web Application For Lassa Fever Surveillance Using Social Media Data And News Report

Elizabeth Rotimi ⋅ Iyanu P Adegun

Decision-Aware Rounding for LLM Quantization

Kirtilekha Bhesra

Listening Before Leaving: Learning Customer Relationship Deterioration from Voice and Behavioral Event Sequences

Everlyne Nalule

$$A Blocking and Rate-Limiting Mitigation Framework for Distributed Denial of Service (DDoS) Attacks Using a Heterogeneous Ensemble Deep Learning Model (HEDDS-Net)$$

Chinyere Chioma Isiekwene

Modeling Agricultural Drought Severity using Explainable Machine Learning Models Enhanced with Bayesian Optimization

Iyinoluwa Oyelade

Learning to Combine: An Interpretable Adaptive Ensemble for Lassa Fever Incidence Prediction

Iyanu P Adegun

Diagnosing and Mitigating Evidence Narrowing in Graph-Based Reranking

Min Zhang

An Unfalsifiable Inverse Problem: Latent-Source Identifiability from Non-Stationary Timeseries

Mahta Ramezanian-Panahi

Spatial-Adaptive Token Merging: Towards Structure-Preserving Vision Transformers for Medical Imaging

Saman Aijaz Siddiqui

Survey-to-Text Representation Learning for Cross-Instrument Predictive Modelling with Bootstrap-Regularised Uncertainty Quantification

Sara Matijevic ⋅ Christopher Yau

Federated Continual Learning as a Distributed Drift-Plus-Penalty Control Problem

Nazreen Shah ⋅ Ranjitha Prasad

Multimodal Model Diffing for Feature Discovery and Control

Hunar Batra

Accelerating Tensor Products in E(3)-Equivariant Graph Neural Networks

Manasvi Goyal

SeMi-Depth: Semantic-Guided Monocular Metric Depth Estimation Across Diverse Scenes

Zainab Iftikhar

Convergence Rates of Training Data Reconstruction Attacks

Jessica Ingrey

How TabPFN Learns: Retrieval and Feature Selection

Santhoshi Ravichandran

Combining Clinical Data and Longitudinal Neutrophil Profiling for Survival Prediction in Immunotherapy-treated aNSCLC: an Explainable Machine Learning Analysis

Arianna Rigamonti ⋅ Belen Insagaray ⋅ Pietro Pinoli ⋅ Francesco Trovò

PHYSICIAN: Verification of Physical Grounding in Vision-Language-Action Models

Nafisat Abdulsalam

Transformer-Based Analysis for Next-Generation Compact Cherenkov Telescopes

Elli Jobst ⋅ Lukas Heinrich

Ambiguity-Aware Evaluation for Automated Fact-Checking

Sukanya Krishna ⋅ Jean-François Godbout ⋅ Reihaneh Rabbany ⋅ Maimuna Majumder ⋅ Finale Doshi-Velez

Signal Frequency Imbalance and Ill-Conditioning

Tianyue Zhang ⋅ Francis Bach ⋅ Frederik Kunstner

Edge-Aware Dynamic Adaptation for Personalized On-Device Assistants

Ouiame Marnissi

Adaptive Geometry Routing for Vision-Language Understanding

HAO WU ⋅ Sarthak Srivastava

XGBoost-Based Avalanche Activity Prediction with Integrated Rescue Optimization for the Western Himalayas

Ramyapriya Sivasankar

Beyond Fair Answers: Learning Fair and Unlearning Biased Reasoning in LLMs

Mina Arzaghi ⋅ Florian Carichon ⋅ Golnoosh Farnadi

MA-SafeDiffuser: Safe Multi-Agent Planning with Diffusion Probabilistic Models

KIRAN RAVISH ⋅ Preeti ⋅ Ankita Kushwaha ⋅ Pawan Kumar

batteryKG: A Provenance-Preserving, Ontology-Guided Knowledge Graph of Lithium Iron Phosphate Battery Literature

Mrigi Munjal ⋅ Vidushi Sharma ⋅ Sara Capponi ⋅ Young-Hye Na

Accelerating Thermochemical Equilibrium Calculations with Physics-Informed Neural Networks

Klara Meyer ⋅ Anna Sergeevna Bosman

Riemannian Cooperation Dynamics for Stable Multi-Agent Adaptation

Jagannatham Jahnavi ⋅ Suprith S

Token Mixer Placement Matters: A Systematic Encoder–Decoder Ablation Study of Mamba for Brain Tumour Segmentation on BraTS-Africa

Olamide Lawal

PhysEval.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models

Emma Kasteleyn ⋅ Timo Maier ⋅ Axel Lauer ⋅ Veronika Eyring ⋅ Pierre Gentine ⋅ Ana Lucic

Recovering Hidden Chemistry: Improving LLM Fine-Tuning on Metabolic Pathways

Yimeng Liu

What Do Time Series Foundation Models Learn About Physical Structure?

Laura Galindez ⋅ Aikun Bexultanova ⋅ Jaime Lien

On the Adversarial Robustness of Discrete Image Tokenizers

Rishika Bhagwatkar ⋅ Irina Rish ⋅ Nicolas Flammarion ⋅ Francesco Croce

Narrating XAI Explanations with an On-Premise Multimodal LLM for Immunotherapy Response Prediction in Lung Cancer

Cristina Licciardello ⋅ Giulia Di Virgilio ⋅ Belen Insagaray ⋅ Alessandra Pedrocchi ⋅ Francesco Trovò

Bayesian Decision-Time Inference for In-Context Reinforcement Learning from Suboptimal Data

Anaïs Berkes ⋅ Vincent Taboga ⋅ Donna Vakalis ⋅ David Rolnick ⋅ Yoshua Bengio

LRX-Bench: Robustness Evaluation of an RLVR-Trained Medical Vision–Language Model under Deployment-Motivated Chest X-ray Degradations

Boniface hukwuemeka Godwin ⋅ Oyindamola Olatunji

A Theoretical and Empirical Taxonomy of Class Imbalance in Binary Classification

Rose Yvette Bandolo Essomba ⋅ Ernest Fokoue

When Has an Agent Seen Enough? CASE for Evidence-Aware Scientific Autonomy

Aisha Opaluwa ⋅ Brandone Fonya

ADAPT: Provenance-Aware Cross-Dataset Facial Autism Classification with Domain Alignment and Prototype Reasoning

Ayesha Anzer ⋅ Abdul Bais

Physics-Informed Feature-Space Invariants for Sim-to-Real FCC/HCP Phase Classification in High-Entropy Alloys

Nazeefa Labiba

Answer Compliance and Cross-Lingual Chain-of-Thought Gaps

Yandan Zheng ⋅ Anh Tuan Luu

What Does Layer Importance Reveal About Transformers and State-Space Models?

Istabrak Abbes ⋅ Nizar Islah ⋅ Irina Rish ⋅ Sarath Chandar

UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning

Vaidehi Patil ⋅ Elias Stengel-Eskin ⋅ Mohit Bansal

Fighting for Fairness: A Re-ranking Approach for Recommendation Systems

Tahsin Alamgir Kheya ⋅ Sunil Aryal

Beyond Perturbation Robustness: Biological Equivalence in Genomic Foundation Models

Padmaja Mohanty

He, She, It: Does Gender Affect Agent Capabilities? Auditing Gendered Personas on Professional Tasks

⋅ Alisa Khamsamut ⋅ Aye Hninn Khine ⋅ Saksorn Ruangtanusak

Evaluating Failure Cascade Propagation in Multi-Agent Autonomous Communication Systems

Deepali Bhanushali

Stability-Aware Pathway-Level Unsupervised Learning Recovers Interpretable Metabolic Structure in Glioblastoma

Sharmin Sultana Lincoln

Interpretable Semantic Resonance for Steerable Dense Retrieval

Surbhi Motghare ⋅ DEBANSHU DAS

Sparse Semantic Steering for Inference-Time Dense Retrieval Correction

Surbhi Motghare ⋅ DEBANSHU DAS

Generative Modeling of Post-Fire Recovery In Boreal Peatlands

Michelle Lin

What Are We Actually Predicting? A Leakage Audit of Clinical Trial Outcome Prediction

Shruti Kaushik

An Explainable Hybrid Transformer Framework for ADHD Risk Prediction Among University Students Using Psychological Assessment and Self-Reported Text Data

Temporal Hallucinations in Medical Report Generation

Gefen Dawidowicz ⋅ Malak Fares ⋅ Ayellet Tal

Causal Classification for Decision-Making with Continuous Outcomes

Yuta Kawakami ⋅ Jin Tian

The Conservatory: A Retirement Home for AI Models

Rebecca Neff ⋅ Utsav Gupta

MATCHA: Matching Text via Contrastive Semantic Alignment

Siran Li ⋅ Ece Sena Etoglu ⋅ Carsten Eickhoff

From Unstructured Reviews to Return Intent: Theory-Guided NLI and Causal Machine Learning

Keerthana Vengatesan

Confabulation in a Caption-then-Generate Pipeline: Evaluating Vision-Language Generation of Adolescent Health Information

Abigail Naa Amankwaa Abeo

Silent Failures in Degraded Chest X-Rays: Triage in Resource-Constrained Settings

Nunsi Shiaki ⋅ Oluwaferanmi Oladepo

Grounding Language Models with Symbolic Knowledge and Selective Prediction for Safer Clinical Trial Matching

Vittoria Peppoloni

Institutional Confounding in Background-Based Acquisition Detection for Medical Imaging

Sesa Singha Roy ⋅ Sera Singha Roy

An Efficient Graph-Based Recommendation Unlearning via Knowledge Distillation

Trishita Mukherjee

Screening Without a Blood Test? Machine Learning for Non-Invasive Anemia Risk Flagging in Nigeria

Onyinyechi Gift Ossai

ASTRA: Graph-Grounded LLM Refinement of Least-Privilege IAM Policies

Gauri Kholkar ⋅ Ratinder Ahuja

Machine Learning for Predicting Multi-Text Writing Performance: Integrating Trace-Based SRL and Linguistic Features in Secondary Students

Halima Alnashiri ⋅ Sadia Nawaz ⋅ Keyang Qian

Do Brain MRI Foundation Models Encode Epilepsy-Relevant Concepts? A Confound-Aware Linear Probing Study on Focal Cortical Dysplasia

Jade Satyko Hatanaka Marques

An Automated Pseudocode Grading Framework with Explainability

Nipuni Jayathilake ⋅ Sandareka Wickramanayake

Where to Put Attention: A Layer-Placement Ablation for CBAM-EnhancedRT-DETR in Thick-Smear Malaria Microscopy

Martha Kachweka ⋅ Carine Mukamakuza ⋅ Abubakar Chilala

Generalised Distillation of Geospatial Foundation Models

Amina Said

The Geometry of Forgetting: Structural Coupling Governs Unlearning Difficulty in Generative Models

Muskan Dosi ⋅ Richa Singh

Recourse as a Contract: Certifying Realized Actions under Behavioral Deviation and Classifier Drift

Sita Bissu ⋅ APARNA MEHRA ⋅ Sandeep Kumar

Disentangling Time and Forecaster Effects in Probabilistic Forecasts: Bayesian Hierarchies and Latent Mixtures for Predictive Uncertainty

Federico Bassetti

A Provenance Audit of Formula and Component Evidence in Herbal Medicine Knowledge Bases

Yandan Zheng

FC2L: Federated Continual Graph Contrastive Learning for Evolving Cross-Bank Money Laundering Detection

Zarka Bashir ⋅ C Mohan

Quantum Circuit Depth Optimization using Graph Coloring

Prisha Jain ⋅ Sandeep Kumar

Identity-Corrected Embedding Deltas for Lung-Nodule Progression

Varuni H K

Comparative Analysis of Random Forests and Gradient Boosting for SNMP-MIB Intrusion Detection Using Feature Selection Techniques

Bukola Augustina Ifedayo-Ojo

Equitable Medical Imaging via Cohort-Specialized Knowledge Distillation

⋅ Yasmeena Akhter ⋅ Tausifa Jan Saleem ⋅ Brejesh Lall

Do VLM Safety Refusals Attend to the Object They Cite? A Verifiable Masking Instrument and Preliminary Evidence of Mis-Grounded Refusals

Su Myat Noe ⋅ Su Myat Noe

Uncertainty-Guided Query Emergence with Local Refinement Attention for Tiny Object Detection

Ndobam Ruth Vifieh

Scaling Laws for Multimodal Data Mixtures

Aditi Khandelwal ⋅ Ayush Kumar Tarun ⋅ Yixuan Xu ⋅ Imanol Schlag ⋅ Golnoosh Farnadi ⋅ Siva Reddy ⋅ Luke Zettlemoyer ⋅ Antoine Bosselut

Does Cultural Knowledge Survive Recursive Synthetic Training? Evidence from English and Burmese

Aye Hninn Khine

Bayesian Neural Networks for Stable Feature Selection in High-Dimensional Learning

Akanksha Mishra

Escaping the Obvious: Reinforcement Learning for Conceptually Diverse Generation

Sophie Broderick ⋅ Qiawen Liu ⋅ Benjamin Eysenbach

Robust PnP on a Neuromorphic Processor for Object Pose Estimation

Tam Ngoc-Bang Nguyen ⋅ Tat-Jun Chin

When Helpful Text Hurts: Option-Redirecting Bias in Vision–Language Models

Tam Le Thi Thanh

TFDBench: A Comprehensive Benchmark and Codebase for Talking-Face Deepfake Detection

Van-Tuan Tran ⋅ Tam Le Thi Thanh

Does Model Choice Matter in Low-Resource, Code-Mixed Crisis Discourse? A Controlled Comparison of Five Sentiment-Analysis Architectures

Ceverine Thalitha Mopock Talla

Flow-of-Thought: A Framework for Visual Reasoning

Mariia Baidachna ⋅ Nicolas Pugeault

From Breath to Command: A Personalized and Explainable Pipeline for Augmentative Communication

Nafla Nawas

Evaluating Product Cannibalization and Competitor Price Changes in Retail Demand Forecasting Using Cross-Price Elasticity Modeling

Yada Duangphaichoom

RoadTones: Tone Controllable Text Generation from Road Event Videos

Siddhi Lipare ⋅ Ravi Kiran Sarvadevabhatla

View Count Is Not Enough: Composition and Selection in Reduced Multi-View Protocols

Oyindamola Olatunji

Metric Match: A Subset Selection Approach to Evaluating LLM Judge Reliability

Alyssa Unell ⋅ Natalie Dullerud ⋅ Meena Jagadeesan ⋅ Tatsunori Hashimoto ⋅ Nigam Shah ⋅ Sanmi Koyejo

Explainable AI-Driven Domain Adaptation for PM2.5 Estimation from Aerosol Optical Depth

Priscilla Adong

Quantum-Enhanced Neural Networks for Rare Disease Diagnosis: A Comparative Evaluation Against Classical Machine Learning

Fikile Erica Mokoka

Archetypal Sparse Transcoders Find Motion Features and Physical-Hazard Detectors in a Self-Supervised Video Model

Susan Soraya Ghassemlou ⋅ Sonia Joseph

Grid Cells as Spectral Successor Features: A Reusable Basis for Continual Reinforcement Learning

Élodie Côté-Gauthier ⋅ Doina Precup ⋅ Isabeau Prémont-Schwarz

Efficiency Hallucination: Measuring Behavioral Calibration in LLM-Based Code Optimization

Sarah Wilson ⋅ Gail Kaiser ⋅ Patrick Musau

Objective Stress Detection in Peru via a Multimodal Wearable System of ANS Biomarkers

Yasumy Maricely Jallo Paccaya

Evaluating Report-Derived Supervision Strategies for Robust Medical Vision-Language Models Under Temporal and Institutional Shift

Masha Bondarenko ⋅ Ali Nowroozi ⋅ Jae Ho Sohn

Evaluating the Readiness of VLMs for Real-World Autonomous Driving Tasks

Manasa Mariam Mammen ⋅ PRIYANKA MARY MAMMEN ⋅ Zafer Kayatas ⋅ Stefan Wagner

PID-DiffRL: Safe Offline Reinforcement Learning as Noisy Delayed Feedback Control

Ankita Kushwaha ⋅ KIRAN RAVISH ⋅ Preeti ⋅ Pawan Kumar

CATS: Combinatorial Allocation via Thompson Sampling for Multi-Buyer–Multi-Seller Data Markets

Xiwen Huang

Regime-Aware Seasonal Physics-Informed Neural Networks for Long-Horizon Building Temperature Prediction

Rohan Saha ⋅ Shambhavi Srivastava ⋅ Tushar Shinde

Deep Reinforcement Learning for Energy Efficient 5G Base Stations Using Semi Markov Modeling

Mahima .

Towards Robust Context Utilisation in Multilingual ASR for Indian Languages

Greeshma Susan John

ARTTT - Action-Reconstruction Test-Time Training

Prajvi Saxena

Persona-Aware Medical Text Simplification with Prefix-Tuning and Reinforcement Learning from AI Feedback

Nomonde Khalo ⋅ Jan Buys

Explainable and Quantized Neural Networks for Generalisable Malaria Cell Classification

Asegunloluwa Babalola

Skill-Preserving Continual Merging of Vision-Language-Action Experts

Heewon Park ⋅ Minhae Kwon

Zero-Write Subgraph Overlay for Low-Latency Inductive GNN Inference on Streaming Graphs

Shivangi Khare

When the Threshold Is the Bias: Auditing Sex-Blind Cardiac Decision Cut-offs on Real-World Data

Obioma Pelka

Speech Emotion Recognition with Classical and Deep Learning Models: An Accuracy–Efficiency Frontier from MFCC to Self-Supervised Representations

Yashash Yallapragada ⋅ Shambhavi Srivastava

Encoding Articulatory Features in SSL Models for Hindi Dysarthric Speech

Avantika Agarwal ⋅ Manya Singh ⋅ Hemant Patil

Hardware-Aware Sim-to-Real Reinforcement Learning for Low-Cost Intelligent Traffic Control in Sub-Saharan Africa

Eunice Adebusayo Adewusi ⋅ Marvin Ogore

Climate Change - a Chemistry Problem: A Periodic-Table-Wide Density Functional Theory Benchmark and Machine Learning Surrogates for Combustion-Pollutant Adsorbents

Grace M. Kaimburi

Probing Gender Bias in Masked Language Models for Low-Web Data Languages

Bontu Balcha ⋅ Senait Mengesha ⋅ Hellina Hailu Nigatu

Scalable Multidimensional Assessment of Children’s Oral Reading Fluency Across Indian Languages

Apurva Mahajan

Automated Scientific Revision Through Iterative AI Reviewing

Vidushee Vats ⋅ Karun Sharma

Hybrid CNN–LSTM Model for Spatiotemporal Prediction of PM2.5 Concentrations in Selected African Cities

ugochi Okengwu ⋅ Alfred Bob-Manuel

Can Adversarial Image Perturbations Protect Against AI Nudification Inpainting?

Li Qiwei ⋅ Salma Abdel Magid ⋅ Olga Russakovsky ⋅ Eric Gilbert ⋅ Sarita Schoenebeck

Beyond Model Performance: Stability and Feature Importance in Digital Biomarker Discovery

NUR AIZAAN ANWAR ⋅ Matt Williams

Can Adaptive Gradient Transport Fool Deep Models?

Riya Goyal ⋅ JOY DHAR ⋅ Puneet Goyal

Moving Past Random Splits: Audited Evaluation and Parameter-Efficient Methods for Low-Resource South African Sign Language Recognition

Khanyisa Mokgolobotho

Evaluating Transformer Language Models for Emergency Triage Classification in Spanish Clinical Notes

Xaviera Cortes ⋅ Felipe Maraboli

The Aggregate Monotonicity Illusion: Monotonic Uncertainty Regularization under Progressive Information

Radhika Dua ⋅ Young Joon Kwon ⋅ Yerram Varun ⋅ Eric Oermann ⋅ Kyunghyun Cho

Can't Tell, or Won't Say? Separating Evidential and Social Abstention in Multimodal Language Models

Fairuz Mubashwera

Mortality Outcome Prediction of Endemic Diseases in Davao City, Mindanao Region, Philippines using Unsupervised and Supervised Machine Learning

El Veena Grace Rosero

GRAPE: Knowledge Graph–Derived Reasoning for Multimodal PE Report Generation

Arushi Gandhi

Deciding What a Polymer Representation Should Encode: Establishing What the Benchmark Can Test

Chloe Lin ⋅ Amanda J. Parker

EXPOSING AND CORRECTING SPEAKER LEAKAGE IN YORUBA DIALECT IDENTIFICATION WITH SELF-SUPERVISED SPEECH REPRESENTATION

Ayodele Awokoya

CREST: Structure-Preserving Learning for Sparse Industrial Emission Forecasting

Anushka Chaubey ⋅ Tushar Shinde

When More Cores Are Not Faster: Towards NUMA-Aware Extreme Multi-Label Classification

Kopal Rastogi

Benchmarking under Sparse Ground Truth: Cross-Modal Retrieval for Drug Discovery from Microbial Natural Products

Rosalie G Wang

Measuring Affordance Emergence: Design Constraints for Self-Supervised Embodied World Models

Lulu Shao

Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via disTillation of GrapH Knowledge

⋅ Sandeep Kumar

CAV Styler++: Extending Neural Style Transfer

Sunayana Samavedam ⋅ Saurabh Saini ⋅ P J Narayanan

Before Cross-Site Transfer: Reliability of Tree and Recurrent Models with Limited Wastewater Surveillance Data

Tingyi Wei

CoCoA: Cohort-Aware Certification or Abstention for Precision Under Shift

Ananya Salian

Towards Predictive Models of Strategic Behaviour in Large Language Model Agents

Jennifer Za ⋅ Aristeidis Panos ⋅ Jan Cuhel

Do Generative Interpretations Improve Human Understanding of Musical Emotion Beyond Traditional Mood Labels?

KHONGORZUL MUNKHBAT

Equity-Aware Self-Supervised Multi-Domain Connectome Representation Learning for Brain Functional Connectivity

⋅ Sandeep Kumar

Efficient Split Learning with Client-Side Active Selection and Early Exiting

Humaira Kousar ⋅ Hasnain Irshad Bhatti

Anatomically Aligned Multimodal Diffusion for Individualized Alzheimer’s Disease Trajectory Forecasting

Ayantika Das

Discovering and Guiding Clinical Capability Transfer in Medical Vision-Language Models

Ananya Shukla

Which Information Matters for Rapid Intensification of Tropical Cyclones? A Global-Basin Feature Ablation Study

Sukhada Vijay Ghewari

Decoding What You Imagine from What Others Saw

Ninon Lizé Masclef ⋅ Mariya Hendriksen ⋅ Nataliya Kosmyna