| Bose polaron as an instance of quantum Brownian motion A Lampo, SH Lim, MÁ García-March, M Lewenstein Quantum 1, 30, 2017 | 95 | 2017 |
| Noisy Recurrent Neural Networks SH Lim, NB Erichson, L Hodgkinson, MW Mahoney Advances in Neural Information Processing Systems 34, 2021 | 62 | 2021 |
| Noisy Feature Mixup SH Lim, NB Erichson, F Utrera, W Xu, MW Mahoney Proc. of the 2022 ICLR Conference, 2021 | 42 | 2021 |
| Predicting critical transitions in multiscale dynamical systems using reservoir computing SH Lim, LT Giorgini, W Moon, JS Wettlaufer Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (12), 2020 | 36* | 2020 |
| NoisyMix: Boosting Model Robustness to Common Corruptions NB Erichson, SH Lim, W Xu, F Utrera, Z Cao, MW Mahoney Proc. of the 27th International Conference on AISTATS, 2024 | 34* | 2024 |
| Lindblad model of quantum Brownian motion A Lampo, SH Lim, J Wehr, P Massignan, M Lewenstein Physical Review A 94 (4), 042123, 2016 | 26 | 2016 |
| Functionals in stochastic thermodynamics: how to interpret stochastic integrals S Bo, SH Lim, R Eichhorn Journal of Statistical Mechanics: Theory and Experiment 2019 (8), 084005, 2019 | 22 | 2019 |
| Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory SH Lim Journal of Machine Learning Research 22, 47:1-47:48, 2021 | 21 | 2021 |
| Homogenization for a class of generalized Langevin equations with an application to thermophoresis SH Lim, J Wehr Journal of Statistical Physics 174 (3), 656-691, 2019 | 19* | 2019 |
| Homogenization for generalized Langevin equations with applications to anomalous diffusion SH Lim, J Wehr, M Lewenstein Annales Henri Poincaré 21, 1813–1871, 2020 | 17 | 2020 |
| Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent SH Lim, Y Wan, U Şimşekli Advances in Neural Information Processing Systems 35, 2022 | 13 | 2022 |
| On the small mass limit of quantum Brownian motion with inhomogeneous damping and diffusion SH Lim, J Wehr, A Lampo, MÁ García-March, M Lewenstein Journal of Statistical Physics 170 (2), 351-377, 2018 | 13 | 2018 |
| Gated recurrent neural networks with weighted time-delay feedback NB Erichson, SH Lim, MW Mahoney arXiv preprint arXiv:2212.00228, 2022 | 6 | 2022 |
| Precursors to rare events in stochastic resonance LT Giorgini, SH Lim, W Moon, JS Wettlaufer Europhysics letters 129 (4), 40003, 2020 | 6 | 2020 |
| Anomalous thermodynamics in homogenized generalized Langevin systems SH Lim Journal of Physics A: Mathematical and Theoretical 54 (15), 155001, 2021 | 4 | 2021 |
| Modeling the El Nino Southern Oscillation with Neural Differential Equations LT Giorgini, SH Lim, W Moon, N Chen, JS Wettlaufer ICML 2021 Time Series Workshop, 2021 | 3 | 2021 |
| MÁ Garc ía-March, M. Lewenstein A Lampo, SH Lim Quantum 1, 30, 2017 | 3 | 2017 |
| Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting SH Lim, Y Wang, A Yu, E Hart, MW Mahoney, XS Li, NB Erichson arXiv preprint arXiv:2410.03229, 2024 | 1 | 2024 |
| Tuning Frequency Bias of State Space Models A Yu, D Lyu, SH Lim, MW Mahoney, NB Erichson arXiv preprint arXiv:2410.02035, 2024 | 1 | 2024 |
| Stochastic Processes: From Classical to Quantum SH Lim | | 2020 |
N. Benjamin ErichsonResearch ScientistVerified email at lbl.gov