Shivvrat Arya - RankMe

17 papers A* 3A 4B 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Guide Local Search for MPE Inference in Probabilistic Graphical Models. CoRR Brij Malhotra, Shivvrat Arya, Tahrima Rahman, Vibhav Giridhar Gogate
2025	J	`jnl`	Learning to Condition: A Neural Heuristic for Scalable MPE Inference. CoRR Brij Malhotra, Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
2025	A	`conf`	RELINK: Edge Activation for Closed Network Influence Maximization via Deep Reinforcement Learning. CIKM Shivvrat Arya, Smita Ghosh, Bryan Maruyama, Venkatesh Srinivasan
2025	A	`conf`	SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings. AISTATS Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
2024	A*	`conf`	A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models. NeurIPS Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
2024	A*	`conf`	CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities. NeurIPS Rohith Peddi, Shivvrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Bhavya Gouripeddi, Qifan Zhang, Jikai Wang, Vasundhara Komaragiri, Eric D. Ragan, Nicholas Ruozzi, Yu Xiang, Vibhav Gogate
2024	A	`conf`	Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification. AISTATS Shivvrat Arya, Yu Xiang, Vibhav Gogate
2024	J	`jnl`	Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification. CoRR Shivvrat Arya, Yu Xiang, Vibhav Gogate
2024	A	`conf`	Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models. AISTATS Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
2024	J	`jnl`	Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models. CoRR Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
2024	A*	`conf`	Neural Network Approximators for Marginal MAP in Probabilistic Circuits. AAAI Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
2024	J	`jnl`	Neural Network Approximators for Marginal MAP in Probabilistic Circuits. CoRR Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
2024	—	`conf`	Predictive Task Guidance with Artificial Intelligence in Augmented Reality. VR Workshops Benjamin Rheault, Shivvrat Arya, Akshay Vyas, Jikai Wang, Rohith Peddi, Brett Benda, Vibhav Gogate, Nicholas Ruozzi, Yu Xiang, Eric D. Ragan
2023	J	`jnl`	CaptainCook4D: A dataset for understanding errors in procedural activities. CoRR Rohith Peddi, Shivvrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Jikai Wang, Qifan Zhang, Vasundhara Komaragiri, Eric D. Ragan, Nicholas Ruozzi, Yu Xiang, Vibhav Gogate
2023	J	`jnl`	Deep Dependency Networks for Multi-Label Classification. CoRR Shivvrat Arya, Yu Xiang, Vibhav Gogate
2023	J	`jnl`	Explainable Activity Recognition in Videos using Deep Learning and Tractable Probabilistic Models. ACM Trans. Interact. Intell. Syst. Chiradeep Roy, Mahsan Nourani, Shivvrat Arya, Mahesh Shanbhag, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate
2020	B	`conf`	Multi-Label classifier based on Kernel Random Vector Functional Link Network. IJCNN Vikas Chauhan, Aruna Tiwari, Shivvrat Arya