Debargha Ganguly

According to our database, Debargha Ganguly authored at least 17 papers between 2023 and 2026.

Collaborative distances:

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

2026

CausalGuard: Conformal Inference under Graph Uncertainty.

Vikash Singh, Weicong Chen, Debargha Ganguly, Yanyan Zhang, Nengbo Wang, Sreehari Sankar, Mohsen Hariri, Alexander Nemecek, Chaoda Song, Shouren Wang, Biyao Zhang, Van Yang, Erman Ayday, Jing Ma, Vipin Chaudhary

CoRR, May, 2026

Privacy Policy Enforcement Guardrails for Data-Sensitive Retrieval-Augmented Generation.

Osama Zafar, Alexander Nemecek, Yiqian Zhang, Wenbiao Li, Debargha Ganguly, Vikash Singh, Vipin Chaudhary, Erman Ayday

CoRR, May, 2026

Reliability-Gated Source Anchoring for Continual Test-Time Adaptation.

Vikash Singh, Debargha Ganguly, Weicong Chen, Sabyasachi Sahoo, Sreehari Sankar, Biyao Zhang, Mohsen Hariri, Shouren Wang, Osama Zafar, Christian Gagné, Vipin Chaudhary

CoRR, May, 2026

Path-Lock Expert: Separating Reasoning Mode in Hybrid Thinking via Architecture-Level Separation.

Shouren Wang, Wang Yang, Chuang Ma, Debargha Ganguly, Vikash Singh, Chaoda Song, Xinpeng Li, Xianxuan Long, Vipin Chaudhary, Xiaotian Han

CoRR, April, 2026

AgentCE-Bench: Agent Configurable Evaluation with Scalable Horizons and Controllable Difficulty under Lightweight Environments.

Wang Yang, Chaoda Song, Xinpeng Li, Debargha Ganguly, Chuang Ma, Shouren Wang, Zhihao Dou, Yuli Zhou, Vipin Chaudhary, Xiaotian Han

CoRR, April, 2026

Toward Guarantees for Clinical Reasoning in Vision Language Models via Formal Verification.

Vikash Singh, Debargha Ganguly, Haotian Yu, Chengwei Zhou, Prerna Singh, Brandon Lee, Vipin Chaudhary, Gourav Datta

CoRR, February, 2026

Trust The Typical.

Debargha Ganguly, Sreehari Sankar, Biyao Zhang, Vikash Singh, Kanan Gupta, Harshini Kavuru, Alan Luo, Weicong Chen, Warren R. Morningstar, Raghu Machiraju, Vipin Chaudhary

CoRR, February, 2026

Context Determines Optimal Architecture in Materials Segmentation.

Mingjian Lu, Pawan K. Tripathi, Mark Shteyn, Debargha Ganguly, Roger H. French, Vipin Chaudhary, Yinghui Wu

CoRR, February, 2026

Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers.

Wang Yang, Debargha Ganguly, Xinpeng Li, Chaoda Song, Shouren Wang, Vikash Singh, Vipin Chaudhary, Xiaotian Han

CoRR, January, 2026

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

Efficient Fine-Grained Gpu Performance Modeling for Distributed Deep Learning of Llm.

Biyao Zhang, Mingkai Zheng, Debargha Ganguly, Xuecen Zhang, Vikash Singh, Vipin Chaudhary, Zhao Zhang

Proceedings of the 32nd IEEE International Conference on High Performance Computing, 2025

K⁴: Online Log Anomaly Detection Via Unsupervised Typicality Learning.

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

Proceedings of the 32nd IEEE International Conference on High Performance Computing, 2025

Labeling Copilot: A Deep Research Agent for Automated Data Curation in Computer Vision.

Debargha Ganguly, Sumit Kumar, Ishwar B. Balappanawar, Weicong Chen, Shashank Kambhatla, Srinivasan Iyengar, Shivkumar Kalyanaraman, Ponnurangam Kumaraguru, Vipin Chaudhary

Proceedings of the IEEE International Conference on Big Data, 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