collaborators

5 papers

cs.AI2026

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning

Koushik Howlader, Tirtho Roy, Md Tauhidul Islam +1

Transformer models for high-dimensional omics analysis process thousands of genes or pathways, although only a subset requires deep computation. Mixture-of-Recursions (MoR) improve…

cs.GR2026

Toward Uncertainty Quantification in Modern Art

Tirtho Roy, Ushashi Bhattacharjee, Showrav Kumar Saha +3

Asked to animate the same modern artwork under different random seeds, a text to video model returns visibly different films, one reading per seed. Because modern art is ambiguous…

cs.LG2026

TRAPS: Treatment-Assignment Prediction via Pathway-informed Stratification

Sujoy Banik, Sayantan Chakraborty, Boishakhi Das Toma +4

Cancer treatment involves decisions across multiple clinical outcomes, yet pathway-informed deep learning models are typically evaluated in isolation, making their relative benefit…

cs.LG2026

Graph Transformer-Based Pathway Embedding for Cancer Prognosis

Koushik Howlader, Md Tauhidul Islam, Wei Le

Accurate prediction of cancer progression remains a challenge due to the high heterogeneity of molecular omics data across patients. While biologically informed models have improve…

cs.AI2026

Improving the Safety and Trustworthiness of Medical AI via Multi-Agent Evaluation Loops

Zainab Ghafoor, Md Shafiqul Islam, Koushik Howlader +6

Large Language Models (LLMs) are increasingly applied in healthcare, yet ensuring their ethical integrity and safety compliance remains a major barrier to clinical deployment. This…