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ORCIDShivvrat Arya
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Journal Articles
- 2023
[j1]Chiradeep Roy
, Mahsan Nourani, Shivvrat Arya, Mahesh Shanbhag, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate:
Explainable Activity Recognition in Videos using Deep Learning and Tractable Probabilistic Models. ACM Trans. Interact. Intell. Syst. 13(4): 29:1-29:32 (2023)
Conference and Workshop Papers
- 2024
- [c5]Shivvrat Arya, Tahrima Rahman, Vibhav Gogate:
Neural Network Approximators for Marginal MAP in Probabilistic Circuits. AAAI 2024: 10918-10926 - [c4]Shivvrat Arya, Tahrima Rahman, Vibhav Gogate:
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models. AISTATS 2024: 2791-2799 - [c3]Shivvrat Arya, Yu Xiang, Vibhav Gogate:
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification. AISTATS 2024: 2818-2826 - [c2]Benjamin Rheault, Shivvrat Arya, Akshay Vyas, Jikai Wang, Rohith Peddi, Brett Benda, Vibhav Gogate, Nicholas Ruozzi, Yu Xiang, Eric D. Ragan:
Predictive Task Guidance with Artificial Intelligence in Augmented Reality. VR Workshops 2024: 973-974 - 2020
- [c1]Vikas Chauhan, Aruna Tiwari, Shivvrat Arya:
Multi-Label classifier based on Kernel Random Vector Functional Link Network. IJCNN 2020: 1-7
Informal and Other Publications
- 2024
- [i5]Shivvrat Arya, Tahrima Rahman, Vibhav Gogate:
Neural Network Approximators for Marginal MAP in Probabilistic Circuits. CoRR abs/2402.03621 (2024) - [i4]Shivvrat Arya, Tahrima Rahman, Vibhav Gogate:
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models. CoRR abs/2404.11606 (2024) - [i3]Shivvrat Arya, Yu Xiang, Vibhav Gogate:
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification. CoRR abs/2404.11667 (2024) - 2023
- [i2]Shivvrat Arya, Yu Xiang, Vibhav Gogate:
Deep Dependency Networks for Multi-Label Classification. CoRR abs/2302.00633 (2023) - [i1]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:
CaptainCook4D: A dataset for understanding errors in procedural activities. CoRR abs/2312.14556 (2023)
Coauthor Index
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