Saurabh Deshpande

According to our database, Saurabh Deshpande authored at least 8 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MAgNET: A graph U-Net architecture for mesh-based simulations.

Saurabh Deshpande, Stéphane P. A. Bordas, Jakub Lengiewicz

Eng. Appl. Artif. Intell., 2024

Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids.

Saurabh Deshpande, Hussein Rappel, Mark Hobbs, Stéphane P. A. Bordas, Jakub Lengiewicz

CoRR, 2024

Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease.

Elisa Gómez de Lope, Saurabh Deshpande, Ramón Viñas Torné, Pietro Liò, Enrico Glaab, Stéphane P. A. Bordas

CoRR, 2024

2023

Data Driven Surrogate Frameworks for Computational Mechanics: Bayesian and Geometric Deep Learning Approaches.

Saurabh Deshpande

PhD thesis, 2023

2022

Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics.

Saurabh Deshpande, Raúl I. Sosa, Stéphane P. A. Bordas, Jakub Lengiewicz

CoRR, 2022

2021

FEM-based Real-Time Simulations of Large Deformations with Probabilistic Deep Learning.

Saurabh Deshpande, Jakub Lengiewicz, Stéphane P. A. Bordas

CoRR, 2021

2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2016

Filer Response Time Prediction Using Adaptively-Learned Forecasting Models Based on Counter Time Series Data.

Saurabh Deshpande, Kumar Dheenadayalan, G. Srinivasaraghavan, V. N. Muralidhara

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016