Soon Hoe Lim
Soon Hoe Lim
Nordita Assistant Professor, KTH Royal Institute of Technology and Stockholm University
Verified email at - Homepage
Cited by
Cited by
Bose polaron as an instance of quantum Brownian motion
A Lampo, SH Lim, MÁ García-March, M Lewenstein
Quantum 1, 30, 2017
Noisy Recurrent Neural Networks
SH Lim, NB Erichson, L Hodgkinson, MW Mahoney
Advances in Neural Information Processing Systems 34, 2021
Lindblad model of quantum Brownian motion
A Lampo, SH Lim, J Wehr, P Massignan, M Lewenstein
Physical Review A 94 (4), 042123, 2016
Noisy Feature Mixup
SH Lim, NB Erichson, F Utrera, W Xu, MW Mahoney
arXiv preprint arXiv:2110.02180, 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
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
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
Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory
SH Lim
Journal of Machine Learning Research 22, 47:1-47:48, 2021
Homogenization for generalized Langevin equations with applications to anomalous diffusion
SH Lim, J Wehr, M Lewenstein
Annales Henri Poincaré 21, 1813–1871, 2020
Noisymix: Boosting robustness by combining data augmentations, stability training, and noise injections
NB Erichson, SH Lim, F Utrera, W Xu, Z Cao, MW Mahoney
arXiv preprint arXiv:2202.01263 1, 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
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent
SH Lim, Y Wan, U ªimºekli
Advances in Neural Information Processing Systems 35, 2022
Precursors to rare events in stochastic resonance
LT Giorgini, SH Lim, W Moon, JS Wettlaufer
Europhysics letters 129 (4), 40003, 2020
MÁ Garc ía-March, M. Lewenstein
A Lampo, SH Lim
Quantum 1, 30, 2017
NoisyMix: Boosting Model Robustness to Common Corruptions
NB Erichson, SH Lim, W Xu, F Utrera, Z Cao, MW Mahoney
arXiv preprint arXiv:2202.01263, 2022
Anomalous thermodynamics in homogenized generalized Langevin systems
SH Lim
Journal of Physics A: Mathematical and Theoretical 54 (15), 155001, 2021
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
NB Erichson, SH Lim, MW Mahoney
arXiv preprint arXiv:2212.00228, 2022
Modeling the El Nino Southern Oscillation with Neural Differential Equations
LT Giorgini, SH Lim, W Moon, N Chen, JS Wettlaufer
NeurIPS 2021 Time Series Workshop, 2021
Stochastic Processes: From Classical to Quantum
SH Lim
Stochastic Lorenz Systems are Generalized Langevin Systems
SH Lim
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