Shivvrat Arya

According to our database, Shivvrat Arya authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Learning to Guide Local Search for MPE Inference in Probabilistic Graphical Models.

Brij Malhotra, Shivvrat Arya, Tahrima Rahman, Vibhav Giridhar Gogate

CoRR, February, 2026

2025

Learning to Condition: A Neural Heuristic for Scalable MPE Inference.

Brij Malhotra, Shivvrat Arya, Tahrima Rahman, Vibhav Giridhar Gogate

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

RELINK: Edge Activation for Closed Network Influence Maximization via Deep Reinforcement Learning.

Shivvrat Arya, Smita Ghosh, Bryan Maruyama, Venkatesh Srinivasan

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings.

Shivvrat Arya, Tahrima Rahman, Vibhav Gogate

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Predictive Task Guidance with Artificial Intelligence in Augmented Reality.

Benjamin Rheault, Shivvrat Arya, Akshay Vyas, Jikai Wang, Rohith Peddi, Brett Benda, Vibhav Gogate, Nicholas Ruozzi, Yu Xiang, Eric D. Ragan

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 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 D. Ragan, Nicholas Ruozzi, Yu Xiang, Vibhav Gogate

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models.

Shivvrat Arya, Tahrima Rahman, Vibhav Gogate

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification.

Shivvrat Arya, Yu Xiang, Vibhav Gogate

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models.

Shivvrat Arya, Tahrima Rahman, Vibhav Gogate

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Neural Network Approximators for Marginal MAP in Probabilistic Circuits.

Shivvrat Arya, Tahrima Rahman, Vibhav Gogate

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Explainable Activity Recognition in Videos using Deep Learning and Tractable Probabilistic Models.

Chiradeep Roy, Mahsan Nourani, Shivvrat Arya, Mahesh Shanbhag, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate

ACM Trans. Interact. Intell. Syst., December, 2023

CaptainCook4D: A dataset for understanding errors in procedural activities.

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

CoRR, 2023

Deep Dependency Networks for Multi-Label Classification.

Shivvrat Arya, Yu Xiang, Vibhav Gogate

CoRR, 2023

2020

Multi-Label classifier based on Kernel Random Vector Functional Link Network.

Vikas Chauhan, Aruna Tiwari, Shivvrat Arya

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020