Vibhav Gogate

Venues

Frequent coauthors

Papers

1. Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization
   AAAI 2025 ·

   Yue Zhang

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2. Learning to Condition: A Neural Heuristic for Scalable MPE Inference
   NeurIPS 2025 ·

   Brij Malhotra

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3. SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings
   AISTATS 2025 ·

   Shivvrat Arya

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4. Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
   CVPR 2025 ·

   Rohith Peddi

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5. A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models
   NeurIPS 2024 ·

   Shivvrat Arya

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6. CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities
   NeurIPS 2024 ·

   Rohith Peddi

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7. Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification
   AISTATS 2024 ·

   Shivvrat Arya

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8. Grasping Trajectory Optimization with Point Clouds
   IROS 2024 ·

   Yu Xiang

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9. Learning Distributionally Robust Tractable Probabilistic Models in Continuous Domains
   UAI 2024 ·

   Hailiang Dong

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10. Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models
    AISTATS 2024 ·

    Shivvrat Arya

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11. Neural Network Approximators for Marginal MAP in Probabilistic Circuits
    AAAI 2024 ·

    Shivvrat Arya

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12. Towards Scene Graph Anticipation
    ECCV 2024 ·

    Rohith Peddi

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