Recognized as a Top Reviewer for NeurIPS 2026!
News
Our paper, "Neural Dual Bounds: Valid-by-Construction JGLP Warm-Starts for MAP and Constrained MAP ," has been accepted for publication at NeurIPS 2026 as a Spotlight Presentation (top 1% of papers).
Our paper, "Learning to Condition: A Neural Heuristic for Scalable MPE Inference ," has been accepted for publication in The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) as a Poster Presentation.
Our paper, “RELINK: Edge Activation for Closed Network Influence Maximization via Deep Reinforcement Learning ,” has been accepted for publication in the Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM 2025) as an Oral Presentation.
Dr. Arya has joined NJIT as an Assistant Professor in the Department of Computer Science at the Ying Wu College of Computing.
Our paper, "SINE - Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings" has been accepted for publication in 28th International Conference on Artificial Intelligence and Statistics (AISTATS) 2025.
Recognized as a Top Reviewer (among the top 8% of reviewers) for NeurIPS 2024!
Our paper, "A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models" has been accepted for publication at NeurIPS 2024 as a Spotlight Presentation (top 2% of accepted papers).
Our paper, "CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities ," has been accepted for publication at NeurIPS 2024 (D&B Track).
Our paper "A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models" was recognized with the Best Paper Award at TPM 2024.
Our paper "A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models" was accepted for publication in TPM 2024.
Our paper "Neural Network Approximators for Marginal MAP in Probabilistic Circuits" was accepted for publication in TPM 2024.
Our paper "Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models" was accepted for publication in 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024 .
Our paper "Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification" was accepted for publication in 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024 .
Delivered an oral presentation for our paper "Neural Network Approximators for Marginal MAP in Probabilistic Circuits" at AAAI 24, a distinction awarded to only 3% of submissions.
Participated in the DARPA PTG Demo Day 2023, hosted at MIT.
Our paper, "Explainable Activity Recognition in Videos using Deep Learning and Tractable Probabilistic Models," was accepted for publication in ACM Transactions on Interactive Intelligent Systems (TiiS) .
Attended the DARPA PTG PI Meeting 2023 at Wright State University.
Participated in the DARPA PTG Demo Day 2022 at MIT.