| Deep learning for predicting respiratory rate from biosignals AK Kumar, M Ritam, L Han, S Guo, R Chandra Computers in biology and medicine 144, 105338, 2022 | 62 | 2022 |
| HxPINN: A hypernetwork-based physics-informed neural network for real-time monitoring of an industrial heat exchanger R Majumdar, V Jadhav, A Deodhar, S Karande, L Vig, V Runkana Numerical Heat Transfer, Part B: Fundamentals, 1-22, 2024 | 5 | 2024 |
| Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs R Majumdar, V Jadhav, A Deodhar, S Karande, L Vig, V Runkana Neural Information Processing Systems: Machine Learning and the Physical …, 2022 | 5 | 2022 |
| How important are specialized transforms in Neural Operators? R Majumdar, S Karande, L Vig arXiv preprint arXiv:2308.09293, 2023 | 4 | 2023 |
| Physics-informed neural entangled-ladder network for inhalation impedance of the respiratory system AK Kumar, S Jain, S Jain, M Ritam, Y Xia, R Chandra Computer Methods and Programs in Biomedicine 231, 107421, 2023 | 3 | 2023 |
| Symbolic regression for PDEs using pruned differentiable programs R Majumdar, V Jadhav, A Deodhar, S Karande, L Vig, V Runkana arXiv preprint arXiv:2303.07009, 2023 | 3 | 2023 |
| HyperLoRA for PDEs R Majumdar, V Jadhav, A Deodhar, S Karande, L Vig, V Runkana arXiv preprint arXiv:2308.09290, 2023 | 2 | 2023 |
| Physics Informed Symbolic Networks R Majumdar, V Jadhav, A Deodhar, S Karande, L Vig, V Runkana Neural Information Processing Systems: Symbiosis of Deep Learning and …, 2022 | 2 | 2022 |
| Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations RK Sarkar, R Majumdar, V Jadhav, SS Sakhinana, V Runkana arXiv preprint arXiv:2311.09740, 2023 | 1 | 2023 |
| DeepEpiSolver: Unravelling Inverse problems in Covid, HIV, Ebola and Disease Transmission R Majumdar, S Karande, L Vig arXiv preprint arXiv:2303.14194, 2023 | 1 | 2023 |
| Method and system for rapid generation and adaptation of industrial digital twin models A Deodhar, VS Jadhav, SS Karande, L Vig, R Majumdar, V Runkana US Patent App. 18/475,545, 2024 | | 2024 |
| Can Physics Informed Neural Operators Self Improve? R Majumdar, A Varhade, S Karande, L Vig arXiv preprint arXiv:2311.13885, 2023 | | 2023 |
| On NeuroSymbolic Solutions for PDEs. R Majumdar, V Jadhav, A Deodhar, SS Karande, L Vig CoRR, 2022 | | 2022 |
| PIHLoRA: Physics-informed hypernetworks for low-ranked adaptation R Majumdar, VS Jadhav, A Deodhar, S Karande, L Vig, V Runkana AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 0 | | |
Lovekesh VigTCS Research在 tcs.com 的电子邮件经过验证
