Tahrima Rahman

26 papers A* 9A 7Journal 7Unranked 3

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`	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`	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
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
2022	A	`conf`	Conditionally Tractable Density Estimation using Neural Networks. AISTATS Hailiang Dong, Chiradeep Roy, Tahrima Rahman, Vibhav Gogate, Nicholas Ruozzi
2022	A*	`conf`	Learning Tractable Probabilistic Models from Inconsistent Local Estimates. NeurIPS Shasha Jin, Vasundhara Komaragiri, Tahrima Rahman, Vibhav Gogate
2022	J	`jnl`	On the Importance of User Backgrounds and Impressions: Lessons Learned from Interactive AI Applications. ACM Trans. Interact. Intell. Syst. Mahsan Nourani, Chiradeep Roy, Jeremy E. Block, Donald R. Honeycutt, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate
2022	A	`conf`	Robust learning of tractable probabilistic models. UAI Rohith Peddi, Tahrima Rahman, Vibhav Gogate
2021	A	`conf`	Anchoring Bias Affects Mental Model Formation and User Reliance in Explainable AI Systems. IUI Mahsan Nourani, Chiradeep Roy, Jeremy E. Block, Donald R. Honeycutt, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate
2021	A	`conf`	Dynamic Cutset Networks. AISTATS Chiradeep Roy, Tahrima Rahman, Hailiang Dong, Nicholas Ruozzi, Vibhav Gogate
2021	A*	`conf`	Novel Upper Bounds for the Constrained Most Probable Explanation Task. NeurIPS Tahrima Rahman, Sara Rouhani, Vibhav Gogate
2020	A*	`conf`	A Novel Approach for Constrained Optimization in Graphical Models. NeurIPS Sara Rouhani, Tahrima Rahman, Vibhav Gogate
2020	J	`jnl`	Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition. CoRR Mahsan Nourani, Chiradeep Roy, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate
2020	—	`conf`	Investigating the Importance of First Impressions and Explainable AI with Interactive Video Analysis. CHI Extended Abstracts Mahsan Nourani, Donald R. Honeycutt, Jeremy E. Block, Chiradeep Roy, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate
2019	A*	`conf`	Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models. IJCAI Tahrima Rahman, Shasha Jin, Vibhav Gogate
2019	—	`conf`	Explainable Activity Recognition in Videos. IUI Workshops Chiradeep Roy, Mahesh Shanbhag, Mahsan Nourani, Tahrima Rahman, Samia Kabir, Vibhav Gogate, Nicholas Ruozzi, Eric D. Ragan
2019	A*	`conf`	Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation. ICML Tahrima Rahman, Shasha Jin, Vibhav Gogate
2018	A*	`conf`	Algorithms for the Nearest Assignment Problem. IJCAI Sara Rouhani, Tahrima Rahman, Vibhav Gogate
2016	A*	`conf`	Learning Ensembles of Cutset Networks. AAAI Tahrima Rahman, Vibhav Gogate
2016	A	`conf`	Merging Strategies for Sum-Product Networks: From Trees to Graphs. UAI Tahrima Rahman, Vibhav Gogate
2014	—	`conf`	Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees. ECML/PKDD (2) Tahrima Rahman, Prasanna V. Kothalkar, Vibhav Gogate