Arya, Shivvrat

7 publications

NeurIPS 2025 Learning to Condition: A Neural Heuristic for Scalable MPE Inference Brij Malhotra, Shivvrat Arya, Tahrima Rahman, Vibhav Giridhar Gogate

AISTATS 2025 SINE: Scalable MPE Inference for Probabilistic Graphical Models Using Advanced Neural Embeddings Shivvrat Arya, Tahrima Rahman, Vibhav Giridhar Gogate

NeurIPS 2024 A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models Shivvrat Arya, Tahrima Rahman, Vibhav Gogate

NeurIPS 2024 CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities Rohith Peddi, Shivvrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Bhavya Gouripeddi, Qifan Zhang, Jikai Wang, Vasundhara Komaragiri, Eric Ragan, Nicholas Ruozzi, Yu Xiang, Vibhav Gogate

AISTATS 2024 Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification Shivvrat Arya, Yu Xiang, Vibhav Gogate

AISTATS 2024 Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models Shivvrat Arya, Tahrima Rahman, Vibhav Gogate

AAAI 2024 Neural Network Approximators for Marginal MAP in Probabilistic Circuits Shivvrat Arya, Tahrima Rahman, Vibhav Gogate