Tahrima Rahman

According to our database, Tahrima Rahman authored at least 20 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

2022

On the Importance of User Backgrounds and Impressions: Lessons Learned from Interactive AI Applications.

Mahsan Nourani, Chiradeep Roy, Jeremy E. Block, Donald R. Honeycutt, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate

ACM Trans. Interact. Intell. Syst., December, 2022

Robust learning of tractable probabilistic models.

Rohith Peddi, Tahrima Rahman, Vibhav Gogate

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Learning Tractable Probabilistic Models from Inconsistent Local Estimates.

Shasha Jin, Vasundhara Komaragiri, Tahrima Rahman, Vibhav Gogate

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Conditionally Tractable Density Estimation using Neural Networks.

Hailiang Dong, Chiradeep Roy, Tahrima Rahman, Vibhav Gogate, Nicholas Ruozzi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Novel Upper Bounds for the Constrained Most Probable Explanation Task.

Tahrima Rahman, Sara Rouhani, Vibhav Gogate

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Anchoring Bias Affects Mental Model Formation and User Reliance in Explainable AI Systems.

Mahsan Nourani, Chiradeep Roy, Jeremy E. Block, Donald R. Honeycutt, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Dynamic Cutset Networks.

Chiradeep Roy, Tahrima Rahman, Hailiang Dong, Nicholas Ruozzi, Vibhav Gogate

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition.

Mahsan Nourani, Chiradeep Roy, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate

CoRR, 2020

A Novel Approach for Constrained Optimization in Graphical Models.

Sara Rouhani, Tahrima Rahman, Vibhav Gogate

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Investigating the Importance of First Impressions and Explainable AI with Interactive Video Analysis.

Mahsan Nourani, Donald R. Honeycutt, Jeremy E. Block, Chiradeep Roy, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

Explainable Activity Recognition in Videos.

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

Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models.

Tahrima Rahman, Shasha Jin, Vibhav Gogate

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation.

Tahrima Rahman, Shasha Jin, Vibhav Gogate

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Algorithms for the Nearest Assignment Problem.

Sara Rouhani, Tahrima Rahman, Vibhav Gogate

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2016

Merging Strategies for Sum-Product Networks: From Trees to Graphs.

Tahrima Rahman, Vibhav Gogate

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Learning Ensembles of Cutset Networks.

Tahrima Rahman, Vibhav Gogate

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014

Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees.

Tahrima Rahman, Prasanna V. Kothalkar, Vibhav Gogate

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014