| 2025 | AISTATS | SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings. | Shivvrat Arya, Tahrima Rahman, Vibhav Gogate |
| 2025 | CIKM | RELINK: Edge Activation for Closed Network Influence Maximization via Deep Reinforcement Learning. | Shivvrat Arya, Smita Ghosh, Bryan Maruyama, Venkatesh Srinivasan |
| 2024 | AAAI | Neural Network Approximators for Marginal MAP in Probabilistic Circuits. | Shivvrat Arya, Tahrima Rahman, Vibhav Gogate |
| 2024 | AISTATS | Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models. | Shivvrat Arya, Tahrima Rahman, Vibhav Gogate |
| 2024 | AISTATS | Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification. | Shivvrat Arya, Yu Xiang, Vibhav Gogate |
| 2024 | VR | 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 |
| 2020 | IJCNN | Multi-Label classifier based on Kernel Random Vector Functional Link Network. | Vikas Chauhan, Aruna Tiwari, Shivvrat Arya |