PPaperPicks

Vibhav Gogate

12 papers at tracked venues · 6 at CORE A* · active 2024–2025

DBLP profile ↗ORCID search ↗

Venues

AISTATS ×3NeurIPS ×3AAAI ×2CVPR ×1ECCV ×1IROS ×1UAI ×1

Frequent coauthors

Shivvrat Arya
×7
Tahrima Rahman
×5
Rohith Peddi
×4
Yu Xiang
×3
Saurabh
×2
Parag Singla
×2
Nicholas Ruozzi
×2
Yue Zhang
×1
Liqiang Jing
×1
Brij Malhotra
×1
Ayush Abhay Shrivastava
×1
Bharath Challa
×1

Papers

  1. Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization
    AAAI 2025 ·
    Yue Zhang
    ,
    Liqiang Jing
    , Vibhav Gogate
  2. Learning to Condition: A Neural Heuristic for Scalable MPE Inference
    NeurIPS 2025 ·
    Brij Malhotra
    ,
    Shivvrat Arya
    ,
    Tahrima Rahman
    , Vibhav Giridhar Gogate
  3. SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings
    AISTATS 2025 ·
    Shivvrat Arya
    ,
    Tahrima Rahman
    , Vibhav Gogate
  4. Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
    CVPR 2025 ·
    Rohith Peddi
    ,
    Saurabh
    ,
    Ayush Abhay Shrivastava
    ,
    Parag Singla
    , Vibhav Gogate
  5. A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models
    NeurIPS 2024 ·
    Shivvrat Arya
    ,
    Tahrima Rahman
    , Vibhav Gogate
  6. CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities
    NeurIPS 2024 ·
    Rohith Peddi
    ,
    Shivvrat Arya
    ,
    Bharath Challa
    ,
    Likhitha Pallapothula
    ,
    Akshay Vyas
    ,
    Bhavya Gouripeddi
    ,
    Qifan Zhang
    ,
    Jikai Wang
    ,
    Vasundhara Komaragiri
    ,
    Eric D. Ragan
    ,
    Nicholas Ruozzi
    ,
    Yu Xiang
    , Vibhav Gogate
  7. Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification
    AISTATS 2024 ·
    Shivvrat Arya
    ,
    Yu Xiang
    , Vibhav Gogate
  8. Grasping Trajectory Optimization with Point Clouds
    IROS 2024 ·
    Yu Xiang
    ,
    Sai Haneesh Allu
    ,
    Rohith Peddi
    ,
    Tyler H. Summers
    , Vibhav Gogate
  9. Learning Distributionally Robust Tractable Probabilistic Models in Continuous Domains
    UAI 2024 ·
    Hailiang Dong
    ,
    James Amato
    , Vibhav Gogate,
    Nicholas Ruozzi
  10. Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models
    AISTATS 2024 ·
    Shivvrat Arya
    ,
    Tahrima Rahman
    , Vibhav Gogate
  11. Neural Network Approximators for Marginal MAP in Probabilistic Circuits
    AAAI 2024 ·
    Shivvrat Arya
    ,
    Tahrima Rahman
    , Vibhav Gogate
  12. Towards Scene Graph Anticipation
    ECCV 2024 ·
    Rohith Peddi
    ,
    Saksham Singh
    ,
    Saurabh
    ,
    Parag Singla
    , Vibhav Gogate