6 papers · 1 filter
MotifRole-Diff: Risk-Optimal Role-Aware Corruption for Masked Molecular Graph Diffusion
Tasfia Nuzhat Ornee, Elias Hossain, Ivan Garibay +1
Masked discrete diffusion for molecular graph generation typically applies a uniform corruption schedule to all tokens in a lossless graph-to-sequence representation, implicitly tr…
Adaptive Multi-Expert Graph Transformer for Interpretable EEG-Based Diagnostics
Maryam Rahimimovassagh, Md Elias Hossain, Ivan Garibay +1
Electroencephalographic (EEG) abnormalities arise from dynamic changes in neural synchrony across spatial and temporal scales, yet many computational approaches reduce these dynami…
Right Knowledge, Wrong Answer: Characterizing Parametric Temporal Conflict in Open-Weight Language Models
Elias Hossain, Sourav Saha, Tasfia Nuzhat Ornee +5
Language models may encode both outdated facts and their newer replacements. We introduce Parametric Temporal Conflict (PTC), where the newer fact is present and recoverable, but t…
Learning Stable Predictors from Weak Supervision under Distribution Shift
Mehrdad Shoeibi, Elias Hossain, Ivan Garibay +1
Learning from weak, proxy, or relative supervision is common when ground-truth labels are unavailable, but robustness under distribution shift remains poorly understood because the…
When Policies Cannot Be Retrained: A Unified Closed-Form View of Post-Training Steering in Offline Reinforcement Learning
Elias Hossain, Mohammad Jahid Ibna Basher, Ivan Garibay +2
Offline reinforcement learning (RL) can learn effective policies from fixed datasets, but deployment objectives may change after training, and in many applications the trained acto…
Learning Robust Representations for Malicious Content Detection via Contrastive Sampling and Uncertainty Estimation
Elias Hossain, Umesh Biswas, Charan Gudla +1
We propose the Uncertainty Contrastive Framework (UCF), a Positive-Unlabeled (PU) representation learning framework that integrates uncertainty-aware contrastive loss, adaptive tem…