VG
Vibhav Gogate
cs.AIcs.CVcs.LGstat.MLcs.CLcs.DMcs.DScs.HCcs.LOcs.RO
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
32 papers in the corpus · 2012–2026A Skill-augmented Agentic Framework and Benchmark for Multi-Video Understanding2603.14733v2 · Yue Zhang, Liqiang Jing, Jia Li et al.2026 · 0 citationsarXiv
Towards Spatio-Temporal World Scene Graph Generation from Monocular Videos2603.13185v1 · Rohith Peddi, Saurabh, Shravan Shanmugam et al.2026 · 0 citationsarXiv
Learning to Guide Local Search for MPE Inference in Probabilistic Graphical Models2602.01475v1 · Brij Malhotra, Shivvrat Arya, Tahrima Rahman et al.2026 · 0 citationsarXiv
LOGicalThought: Logic-Based Ontological Grounding of LLMs for High-Assurance Reasoning2510.01530v1 · Navapat Nananukul, Yue Zhang, Ryan Lee et al.2025 · 0 citationsarXiv
Learning to Condition: A Neural Heuristic for Scalable MPE Inference2509.25217v1 · Brij Malhotra, Shivvrat Arya, Tahrima Rahman et al.2025 · 0 citationsarXiv
Can Video Large Multimodal Models Think Like Doubters-or Double-Down: A Study on Defeasible Video Entailment2506.22385v2 · Yue Zhang, Jilei Sun, Yunhui Guo et al.2025 · 1 citationarXiv
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization2412.16232v3 · Yue Zhang, Liqiang Jing, Vibhav Gogate2024 · 3 citationsarXiv
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation2411.13059v2 · Rohith Peddi, Saurabh, Ayush Abhay Shrivastava et al.2024 · 3 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
Grasping Trajectory Optimization with Point Clouds2403.05466v2 · Yu Xiang, Sai Haneesh Allu, Rohith Peddi et al.2024 · 3 citationsarXiv
Towards Scene Graph Anticipation2403.04899v2 · Rohith Peddi, Saksham Singh, Saurabh et al.2024 · 7 citationsarXiv
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
DETOXER: A Visual Debugging Tool With Multiscope Explanations for Temporal Multilabel Classification.36001520 · Nourani, Mahsan, Roy, Chiradeep, Honeycutt, Donald R et al.2023 · 7 citationsIEEE computer graphics and applications. 2022;42(6):37-46
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
Domain Aware Markov Logic Networks1807.01082v3 · Happy Mittal, Ayush Bhardwaj, Vibhav Gogate et al.2018 · 0 citationsarXiv
Lifted Marginal MAP Inference1807.00589v2 · Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal et al.2018 · 4 citationsarXiv
Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization1806.05355v1 · Yibo Yang, Nicholas Ruozzi, Vibhav Gogate2018 · 2 citationsarXiv
Lifted Region-Based Belief Propagation1606.09637v1 · David Smith, Parag Singla, Vibhav Gogate2016 · 0 citationsarXiv
Probabilistic Inference Modulo Theories1605.08367v2 · Rodrigo de Salvo Braz, Ciaran O'Reilly, Vibhav Gogate et al.2016 · 15 citationsarXiv
Structured Message Passing1309.6832v1 · Vibhav Gogate, Pedro Domingos2013 · 16 citationsarXiv
Dynamic Blocking and Collapsing for Gibbs Sampling1309.6870v1 · Deepak Venugopal, Vibhav Gogate2013 · 8 citationsarXiv
A Complete Anytime Algorithm for Treewidth1207.4109v1 · Vibhav Gogate, Rina Dechter2012 · 136 citationsarXiv
Modeling Transportation Routines using Hybrid Dynamic Mixed Networks1207.1384v1 · Vibhav Gogate, Rina Dechter, Bozhena Bidyuk et al.2012 · 24 citationsarXiv
Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints1207.1385v1 · Vibhav Gogate, Rina Dechter2012 · 37 citationsarXiv
Studies in Lower Bounding Probabilities of Evidence using the Markov Inequality1206.5242v1 · Vibhav Gogate, Bozhena Bidyuk, Rina Dechter2012 · 1 citationarXiv
AND/OR Importance Sampling1206.3232v1 · Vibhav Gogate, Rina Dechter2012 · 8 citationsarXiv
Formula-Based Probabilistic Inference1203.3482v1 · Vibhav Gogate, Pedro Domingos2012 · 26 citationsarXiv
Approximation by Quantization1202.3723v1 · Vibhav Gogate, Pedro Domingos2012 · 10 citationsarXiv
Probabilistic Theorem Proving1202.3724v1 · Vibhav Gogate, Pedro Domingos2012 · 148 citationsarXiv
Career total: 113 works. 32 are in this corpus.
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