Saurabh Deshpande

16 papers A* 2C 1Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Advances and applications in inverse reinforcement learning: a comprehensive review.
Neural Comput. Appl.
Saurabh Deshpande, Rahee Walambe, Ketan Kotecha, Ganeshsree Selvachandran, Ajith Abraham
2025 J jnl
Confidence is Not Competence.
CoRR
Debdeep Sanyal, Manya Pandey, Dhruv Kumar, Saurabh Deshpande, Murari Mandal
2025 J jnl
Policy Optimization Prefers The Path of Least Resistance.
CoRR
Debdeep Sanyal, Aakash Sen Sharma, Dhruv Kumar, Saurabh Deshpande, Murari Mandal
2025 J jnl
REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLM.
CoRR
Madhur Jindal, Saurabh Deshpande
2025 A* conf
REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLMs.
IJCAI
Madhur Jindal, Saurabh Deshpande
2025 J jnl
time2time: Causal Intervention in Hidden States to Simulate Rare Events in Time Series Foundation Models.
CoRR
Debdeep Sanyal, Aaryan Nagpal, Dhruv Kumar, Murari Mandal, Saurabh Deshpande
2024 J jnl
Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids.
CoRR
Saurabh Deshpande, Hussein Rappel, Mark Hobbs, Stéphane P. A. Bordas, Jakub Lengiewicz
2024 J jnl
Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease.
CoRR
Elisa Gómez de Lope, Saurabh Deshpande, Ramón Viñas Torné, Pietro Liò, Enrico Glaab, Stéphane P. A. Bordas
2024 J jnl
MAgNET: A graph U-Net architecture for mesh-based simulations.
Eng. Appl. Artif. Intell.
Saurabh Deshpande, Stéphane P. A. Bordas, Jakub Lengiewicz
2023 — —
Data Driven Surrogate Frameworks for Computational Mechanics: Bayesian and Geometric Deep Learning Approaches.
Saurabh Deshpande
2022 J jnl
Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics.
CoRR
Saurabh Deshpande, Raúl I. Sosa, Stéphane P. A. Bordas, Jakub Lengiewicz
2022 J jnl
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations.
CoRR
Saurabh Deshpande, Jakub Lengiewicz, Stéphane P. A. Bordas
2021 J jnl
FEM-based Real-Time Simulations of Large Deformations with Probabilistic Deep Learning.
CoRR
Saurabh Deshpande, Jakub Lengiewicz, Stéphane P. A. Bordas
2020 A* conf
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.
KDD
Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han
2020 J jnl
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.
CoRR
Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han
2016 C conf
Filer Response Time Prediction Using Adaptively-Learned Forecasting Models Based on Counter Time Series Data.
ICMLA
Saurabh Deshpande, Kumar Dheenadayalan, G. Srinivasaraghavan, V. N. Muralidhara