| Probabilistic deep learning for real-time large deformation simulations S Deshpande, J Lengiewicz, S Bordas Computer Methods in Applied Mechanics and Engineering 398 (0045-7825), 115307, 2022 | 83 | 2022 |
| MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations S Deshpande, S Bordas, J Lengiewicz Engineering Applications of Artificial Intelligence 133, 108055, 2024 | 68 | 2024 |
| Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics S Deshpande, RI Sosa, S Bordas, J Lengiewicz Frontiers in Materials 10 (2296-8016), 2023 | 27 | 2023 |
| Gaussian process regression+ deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids S Deshpande, H Rappel, M Hobbs, SPA Bordas, J Lengiewicz Computer Methods in Applied Mechanics and Engineering 437, 117790, 2025 | 24 | 2025 |
| Advances and applications in inverse reinforcement learning: a comprehensive review S Deshpande, R Walambe, K Kotecha, G Selvachandran, A Abraham Neural Computing and Applications, 1-53, 2025 | 8 | 2025 |
| Data Driven Surrogate Frameworks for Computational Mechanics: Bayesian and Geometric Deep Learning Approaches S DESHPANDE Unilu-University of Luxembourg [Faculty of Science, Technology and Medicine …, 2023 | 4 | 2023 |
| Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease EG de Lope, S Deshpande, RV Torné, P Liò, E Glaab, S Bordas arXiv preprint arXiv:2406.14442, 2024 | 3 | 2024 |
| Towards real-time patient-specific breast simulations: from full-field information to surrogate model A Mazier, T Lavigne, J Lengiewicz, S Deshpande, S Urcun, S Bordas 9th World Congress of Biomechanics, 2022 | 3 | 2022 |
| Policy Optimization Prefers The Path of Least Resistance D Sanyal, AS Sharma, D Kumar, S Deshpande, M Mandal arXiv preprint arXiv:2510.21853, 2025 | 1 | 2025 |
| Confidence is Not Competence D Sanyal, M Pandey, D Kumar, S Deshpande, M Mandal arXiv preprint arXiv:2510.24772, 2025 | | 2025 |
| time2time: Causal Intervention in Hidden States to Simulate Rare Events in Time Series Foundation Models D Sanyal, A Nagpal, D Kumar, M Mandal, S Deshpande NeurIPS 2025 : Recent Advances in Time Series Foundation Models (BERT2S …, 2025 | | 2025 |
| Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease E Gómez de Lope, S Deshpande, R Viñas Torné, P Liò, E Glaab, ... arXiv e-prints, arXiv: 2406.14442, 2024 | | 2024 |
| Novel Geometric Deep Learning Surrogate Framework for Non-Linear Finite Element Simulations S Deshpande, J Lengiewicz, S Bordas The Platform for Advanced Scientific Computing (PASC23), 2023 | | 2023 |
| MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations [Supplementary data] S Deshpande, S Bordas, J Lengiewicz Zenodo, 2023 | | 2023 |
| Novel deep learning approaches for learning scientific simulations S Deshpande, RI Sosa, S Bordas, J Lengiewicz The 14th International Conference of Computational Methods (ICCM), 2023 | | 2023 |
| Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics [Dataset] S Deshpande, RI Sosa, S Bordas, J Lengiewicz Zenodo, 2023 | | 2023 |
| Real-Time Large Deformation Simulations Using Probabilistic Deep Learning Framework S Deshpande, J Lengiewicz, S Bordas The Platform for Advanced Scientific Computing (PASC22), 2022 | | 2022 |
| Real Time Hyper-elastic Simulations with Probabilistic Deep Learning S Deshpande, J Lengiewicz, S BORDAS 15th World Congress on Computational Mechanics (WCCM-XV), 2022 | | 2022 |
| Real-time large deformations: A probabilistic deep learning approach S Deshpande, J Lengiewicz, S BORDAS The 8th European Congress on Computational Methods in Applied Sciences and …, 2022 | | 2022 |
| Efficient Meta-modelling for the simulation of soft tissue deformations P Kerfriden, S Deshpande, E Mikaeili https://zenodo.org/record/4470106, 2021 | | 2021 |
STÉPHANE Pierre Alain BORDASProf. of Computational Mechanics, U. of LuxembourgVerified email at alum.northwestern.edu
