| Reliable Neural Networks for Regression Uncertainty Estimation T Tohme, K Vanslette, K Youcef-Toumi Reliability Engineering & System Safety 229, 108811, 2022 | 19* | 2022 |
| A Generalized Bayesian Approach to Model Calibration T Tohme, K Vanslette, K Youcef-Toumi Reliability Engineering & System Safety 204, 107141, 2020 | 16 | 2020 |
| A General Model Validation and Testing Tool K Vanslette, T Tohme, K Youcef-Toumi Reliability Engineering & System Safety 195, 106684, 2020 | 16 | 2020 |
| GSR: A Generalized Symbolic Regression Approach T Tohme, D Liu, K Youcef-Toumi Transactions on Machine Learning Research (TMLR), 2023 | 14 | 2023 |
| Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction A Kothari, T Tohme, X Zhang, K Youcef-Toumi arXiv preprint arXiv:2310.03314, 2023 | 6 | 2023 |
| The Bayesian Validation Metric: A Framework for Probabilistic Model Calibration and Validation T Tohme Massachusetts Institute of Technology, 2020 | 5 | 2020 |
| MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation T Tohme, M Sadr, K Youcef-Toumi, NG Hadjiconstantinou Transactions on Machine Learning Research (TMLR), 2024 | 3 | 2024 |
| Data-Driven Discovery of PDEs via the Adjoint Method M Sadr, T Tohme, K Youcef-Toumi arXiv preprint arXiv:2401.17177, 2024 | 2 | 2024 |
| ISR: Invertible Symbolic Regression T Tohme, MJ Khojasteh, M Sadr, F Meyer, K Youcef-Toumi arXiv preprint arXiv:2405.06848, 2024 | 1 | 2024 |
| Advances in Symbolic Regression: From Generalized Formulation to Density Estimation and Inverse Problem T Tohme Massachusetts Institute of Technology, 2024 | | 2024 |
Kamal Youcef-ToumiProfessor of Mechanical Engineering, MIT在 mit.edu 的电子邮件经过验证
