Shivvrat Arya

8 papers at tracked venues · 4 at CORE A* · active 2024–2025

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Venues

AISTATS ×3 NeurIPS ×3 AAAI ×1 CIKM ×1

Frequent coauthors

Vibhav Gogate

×7

Tahrima Rahman

×5

Yu Xiang

×2

Brij Malhotra

×1

Smita Ghosh

×1

Bryan Maruyama

×1

Venkatesh Srinivasan

×1

Rohith Peddi

×1

Bharath Challa

×1

Likhitha Pallapothula

×1

Akshay Vyas

×1

Bhavya Gouripeddi

×1

Papers

Learning to Condition: A Neural Heuristic for Scalable MPE Inference
NeurIPS 2025 ·
Brij Malhotra
, Shivvrat Arya,
Tahrima Rahman
,
Vibhav Giridhar Gogate
RELINK: Edge Activation for Closed Network Influence Maximization via Deep Reinforcement Learning
CIKM 2025 · Shivvrat Arya,
Smita Ghosh
,
Bryan Maruyama
,
Venkatesh Srinivasan
SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings
AISTATS 2025 · Shivvrat Arya,
Tahrima Rahman
,
Vibhav Gogate
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models
NeurIPS 2024 · Shivvrat Arya,
Tahrima Rahman
,
Vibhav Gogate
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
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification
AISTATS 2024 · Shivvrat Arya,
Yu Xiang
,
Vibhav Gogate
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models
AISTATS 2024 · Shivvrat Arya,
Tahrima Rahman
,
Vibhav Gogate
Neural Network Approximators for Marginal MAP in Probabilistic Circuits
AAAI 2024 · Shivvrat Arya,
Tahrima Rahman
,
Vibhav Gogate