SA
Shivvrat Arya
cs.LGcs.AIcs.CVbioinformaticsstat.ML
On Valency
published · living versionsW_7ms9du48·v1 · currentpublished
Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE Inference
with Akshay Vyas, Hailiang Dong, Brij Malhotra, Tahrima Rahman +2
1 version
Preprints & journals
8 papers in the corpus · 2023–2026CoLa-VAE: A Cell-Cell Communication-Aware Variational Autoencoder for Representation Learning and Expression Denoising10.64898/2026.03.28.715052v2 · Chen, Y., Qi, C., Fang, H. et al.2026 · 1 citationbioRxiv
Learning 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
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification2404.11667v1 · Shivvrat Arya, Yu Xiang, Vibhav Gogate2024 · 1 citationarXiv
Neural Network Approximators for Marginal MAP in Probabilistic Circuits2402.03621v1 · Shivvrat Arya, Tahrima Rahman, Vibhav Gogate2024 · 2 citationsarXiv
CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities2312.14556v4 · Rohith Peddi, Shivvrat Arya, Bharath Challa et al.2023 · 7 citationsarXiv
Deep Dependency Networks for Multi-Label Classification2302.00633v2 · Shivvrat Arya, Yu Xiang, Vibhav Gogate2023 · 0 citationsarXiv
Career total: 16 works. 8 are in this corpus.
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