Tahrima Rahman
13 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (15)
🏃
Academic Marathon
(7)
🤝
Dynamic Duo
(12)
🏆
Keyword Champion
(3)
💎
Century Club
(13)
🗃️
Keyword Collector
(55)
🔥
Unstoppable
(5)
Conferences
AISTATS (4)
NIPS (4)
IJCAI (2)
AAAI (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
probabilistic graphical model
(4)
cutset network
(4)
most probable explanation
(3)
tractable probabilistic model
(3)
neural network
(3)
self-supervised learning
(3)
bayesian network
(3)
graphical model
(3)
probabilistic modeling
(2)
probabilistic inference
(2)
sum-product network
(2)
markov network
(2)
probabilistic circuit
(2)
probabilistic model
(2)
constrained optimization
(2)
tractable inference
(2)
variational inference
(2)
approximation algorithm
(2)
knapsack problem
(2)
marginal inference
(1)
Papers
SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings
AISTATS 2025
Neural Network Approximators for Marginal MAP in Probabilistic Circuits
AAAI 2024
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models
AISTATS 2024
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models
NIPS 2024
Robust learning of tractable probabilistic models
UAI 2022
Learning Tractable Probabilistic Models from Inconsistent Local Estimates
NIPS 2022
Conditionally Tractable Density Estimation using Neural Networks
AISTATS 2022
Dynamic Cutset Networks
AISTATS 2021
Novel Upper Bounds for the Constrained Most Probable Explanation Task
NIPS 2021
A Novel Approach for Constrained Optimization in Graphical Models
NIPS 2020
Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation
ICML 2019
Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models
IJCAI 2019
Algorithms for the Nearest Assignment Problem
IJCAI 2018