collaborators

10 papers

cs.LG2026

BRIDGE: Bottleneck-Aware Regulator-Set Inference and Diagnosis for Cooperative Gene Regulatory Recovery

Maryam Rahimimovassagh, Clayton Thomas Barham, Ivan Garibay +1

Cooperative gene regulation often depends on groups of regulators acting jointly, but most gene regulatory network (GRN) inference methods output pairwise regulator-target rankings…

cs.LG2026

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…

cs.LG2026

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…

cs.LG2026

ConRetroBert: EMA Stabilized Dual Encoders for Template-Based Single-Step Retrosynthesis

Mohammad Jahid Ibna Basher, Ali Khodabandeh Yalabadi, Ivan Garibay +1

Template based single step retrosynthesis predicts reactants by selecting and applying an explicit reaction template, making each prediction traceable to a chemical transformation…

cs.LG2026

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…

q-bio.QM2026

BIOGEN: Evidence-Grounded Multi-Agent Reasoning Framework for Transcriptomic Interpretation in Antimicrobial Resistance

Elias Hossain, Mehrdad Shoeibi, Ivan Garibay +1

Interpreting gene clusters from RNA sequencing (RNA-seq) remains challenging, especially in antimicrobial resistance studies where mechanistic insight is important for hypothesis g…