Bose polaron as an instance of quantum Brownian motion. - Aniello Lampo; Soon Hoe Lim; Miguel Ángel García-March; Maciej Lewenstein (Quantum, 2017)

Noisy Recurrent Neural Networks. - Soon Hoe Lim; N. Benjamin Erichson; Liam Hodgkinson; Michael W. Mahoney (NeurIPS, 2021)

Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory. - Soon Hoe Lim (J. Mach. Learn. Res., 2021)

Noisy Feature Mixup. - Soon Hoe Lim; N. Benjamin Erichson; Francisco Utrera; Winnie Xu; Michael W. Mahoney (ICLR, 2022)

Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent. - Soon Hoe Lim; Yijun Wan; Umut Simsekli (NeurIPS, 2022)

NoisyMix: Boosting Robustness by Combining Data Augmentations, Stability Training, and Noise Injections. - N. Benjamin Erichson; Soon Hoe Lim; Francisco Utrera; Winnie Xu; Ziang Cao; Michael W. Mahoney (CoRR, 2022)

NoisyMix: Boosting Model Robustness to Common Corruptions. - N. Benjamin Erichson; Soon Hoe Lim; Winnie Xu; Francisco Utrera; Ziang Cao; Michael W. Mahoney (AISTATS, 2024)

Gated Recurrent Neural Networks with Weighted Time-Delay Feedback. - N. Benjamin Erichson; Soon Hoe Lim; Michael W. Mahoney (AISTATS, 2025)

Tuning Frequency Bias of State Space Models. - Annan Yu; Dongwei Lyu; Soon Hoe Lim; Michael W. Mahoney; N. Benjamin Erichson (ICLR, 2025)

Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting. - Soon Hoe Lim; Yijin Wang; Annan Yu; Emma Hart; Michael W. Mahoney; Xiaoye Sherry Li; N. Benjamin Erichson (Trans. Mach. Learn. Res., 2025)

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems. - N. Benjamin Erichson; Vinicius Mikuni; Dongwei Lyu; Yang Gao; Omri Azencot; Soon Hoe Lim; Michael W. Mahoney (CoRR, 2025)