Debargha Ganguly

According to our database, Debargha Ganguly authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

K⁴: Online Log Anomaly Detection Via Unsupervised Typicality Learning.

Weicong Chen, Vikash Singh, Zahra Rahmani, Debargha Ganguly, Mohsen Hariri, Vipin Chaudhary

CoRR, July, 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, May, 2025

Forte : Finding Outliers with Representation Typicality Estimation.

Debargha Ganguly, Warren Richard Morningstar, Andrew Seohwan Yu, Vipin Chaudhary

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning.

Debargha Ganguly, Srinivasan Iyengar, Vipin Chaudhary, Shivkumar Kalyanaraman

CoRR, 2024

Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks.

Debargha Ganguly, Debayan Gupta, Vipin Chaudhary

Proceedings of the Pattern Recognition and Artificial Intelligence, 2024

2023

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, Roger H. French, Vipin Chaudhary

Proceedings of the IEEE International Conference on Big Data, 2023