| Winsorization for robust bayesian neural networks S Sharma, S Chatterjee Entropy 23 (11), 1546, 2021 | 12 | 2021 |
| Entity aware modelling: A survey R Ghosh, H Yang, A Khandelwal, E He, A Renganathan, S Sharma, X Jia, ... arXiv preprint arXiv:2302.08406, 2023 | 5 | 2023 |
| Probabilistic inverse modeling: An application in hydrology S Sharma, R Ghosh, A Renganathan, X Li, S Chatterjee, J Nieber, C Duffy, ... Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 4 | 2023 |
| Prediction of Corporate Bankruptcy Based on Financial Ratios using Binary Logistic Regression J Kumar, V Kumar, D Verma, S Sharma International Journal of Statistics and Reliability Engineering 7 (3), 376-381, 2021 | 2 | 2021 |
| Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science S Sharma, S Sharma, L Liu, R Tushir, A Neal, R Ness, J Crawford, ... arXiv preprint arXiv:2306.09302, 2023 | 1 | 2023 |
| Causal Modeling of Soil Processes for Improved Generalization S Sharma, S Sharma, A Neal, S Malvar, E Rodrigues, J Crawford, ... NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning, 2022 | 1 | 2022 |
| Approximate Bayesian Computation for Physical Inverse Modeling N Chatterjee, S Sharma, S Swisher, S Chatterjee arXiv preprint arXiv:2111.13296, 2021 | 1 | 2021 |
| Classifying Violent Anti-government Conflicts in Mexico: A Machine Learning Framework V Subedi, HH Shah, B Bagozzi, S Sharma, S Chatterjee Preprints, 2024 | | 2024 |
| Data driven approaches to improve understanding of process-based models and decision making S Sharma, S Sharma, EM Kiciman, R Chandra, S Malvar, ER Rodrigues US Patent App. 18/163,156, 2024 | | 2024 |
| Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management SS Chatterjee, K Lindsay, N Chatterjee, R Patil, IA De Callafon, ... Proceedings of the 2024 SIAM International Conference on Data Mining (SDM), 2024 | | 2024 |
| Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization S Sharma, S Sharma, R Padilha, E Kiciman, R Chandra NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning …, 2023 | | 2023 |
| Uncertainty Quantification in Inverse Models in Hydrology SS Chatterjee, R Ghosh, A Renganathan, X Li, S Chatterjee, J Nieber, ... 29th Association for Computing Machinery SIGKDD conference on knowledge …, 2023 | | 2023 |
| Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management S Sharma Chatterjee, K Lindsay, N Chatterjee, R Patil, ... arXiv e-prints, arXiv: 2310.01593, 2023 | | 2023 |
| Uncertainty Quantification in Inverse Models in Hydrology S Sharma Chatterjee, R Ghosh, A Renganathan, X Li, S Chatterjee, ... arXiv e-prints, arXiv: 2310.02193, 2023 | | 2023 |
| Knowledge Guided Representation Learning and Causal Structure Learning S Sharma, R Tushir, AL Neal, R Ness, V Kumar, JW Crawford, E Kiciman, ... 29th Association for Computing Machinery SIGKDD conference on knowledge …, 2023 | | 2023 |
| Causal Modeling of Soil Processes for Improved Generalization AL Neal, S Sharma, JW Crawford, E Kiciman, S Malvar, E Rodriguez, ... NeurIPS 2022, 2022 | | 2022 |
| Molecular dynamics simulation of carbon nanotubes P Kumar, S Sharma, R Chandra, N Kumar | | 2022 |
| Data Driven Approaches to Improve Understanding of Process-based Models and Decision Making S Sharma, S Sharma, E Kiciman, R Chandra US Patent App. 63/394,946, 2022 | | 2022 |
| Machine Learning Methods for Multiscale Physics and Urban Engineering Problems S Sharma, M Thompson, D Laefer, M Lawler, K McIlhany, O Pauluis, ... Entropy 24 (8), 1134, 2022 | | 2022 |
| Climate Change Driven Crop Yield Failures S Sharma, D Ray, S Chatterjee NeurIPS 2020 Workshop Tackling Climate Change with Machine Learning, 2020 | | 2020 |
Rahul GhoshApplied Scientist Amazon, PhD University of MinnesotaVerified email at umn.edu
