Enhancing Scientific Image Classification through Multimodal Learning: Insights from Chest X-Ray and Atomic Force Microscopy Datasets. - David C. Meshnick; Nahal Shahini; Debargha Ganguly; Yinghui Wu 001; Roger H. French; Vipin Chaudhary (IEEE Big Data, 2023)

Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks. - Debargha Ganguly; Debayan Gupta; Vipin Chaudhary (ICPRAI (1), 2024)

Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning. - Debargha Ganguly; Srinivasan Iyengar; Vipin Chaudhary; Shivkumar Kalyanaraman (CoRR, 2024)

Forte : Finding Outliers with Representation Typicality Estimation. - Debargha Ganguly; Warren Richard Morningstar; Andrew Seohwan Yu; Vipin Chaudhary (ICLR, 2025)

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks. - Debargha Ganguly; Vikash Singh; Sreehari Sankar; Biyao Zhang; Xuecen Zhang; Srinivasan Iyengar; Xiaotian Han; Amit Sharma; Shivkumar Kalyanaraman; Vipin Chaudhary (CoRR, 2025)

K4: Online Log Anomaly Detection Via Unsupervised Typicality Learning. - Weicong Chen; Vikash Singh; Zahra Rahmani; Debargha Ganguly; Mohsen Hariri; Vipin Chaudhary (CoRR, 2025)