TR
Tahrima Rahman
cs.AIcs.LGcs.HC
On Valency
published · living versionsW_7ms9du48·v1 · currentpublished
Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE Inference
with Akshay Vyas, Hailiang Dong, Shivvrat Arya, Brij Malhotra +2
1 version
Preprints & journals
5 papers in the corpus · 2020–2026Learning to Guide Local Search for MPE Inference in Probabilistic Graphical Models2602.01475v1 · Brij Malhotra, Shivvrat Arya, Tahrima Rahman et al.2026 · 0 citationsarXiv
Learning to Condition: A Neural Heuristic for Scalable MPE Inference2509.25217v1 · Brij Malhotra, Shivvrat Arya, Tahrima Rahman et al.2025 · 0 citationsarXiv
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models2404.11606v1 · Shivvrat Arya, Tahrima Rahman, Vibhav Gogate2024 · 0 citationsarXiv
Neural Network Approximators for Marginal MAP in Probabilistic Circuits2402.03621v1 · Shivvrat Arya, Tahrima Rahman, Vibhav Gogate2024 · 2 citationsarXiv
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition2005.02335v1 · Mahsan Nourani, Chiradeep Roy, Tahrima Rahman et al.2020 · 11 citationsarXiv
Career total: 25 works. 5 are in this corpus.
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