Soon Hoe Lim

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Recurrent Neural Networks

Nonlinear Dynamic Systems

Long Short Term Memory

Generalized Gaussian

Top Venues

J. Mach. Learn. Res.

Publications

N. Benjamin Erichson, Soon Hoe Lim, Winnie Xu, Francisco Utrera, Ziang Cao, Michael W. Mahoney
NoisyMix: Boosting Model Robustness to Common Corruptions. AISTATS (2024)
Soon Hoe Lim, Yijun Wan, Umut Simsekli
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent. NeurIPS (2022)
N. Benjamin Erichson, Soon Hoe Lim, Michael W. Mahoney
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback. CoRR (2022)
Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera, Winnie Xu, Michael W. Mahoney
Noisy Feature Mixup. ICLR (2022)
Soon Hoe Lim, Yijun Wan, Umut Simsekli
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent. CoRR (2022)
N. Benjamin Erichson, Soon Hoe Lim, Francisco Utrera, Winnie Xu, Ziang Cao, Michael W. Mahoney
NoisyMix: Boosting Robustness by Combining Data Augmentations, Stability Training, and Noise Injections. CoRR (2022)
Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney
Noisy Recurrent Neural Networks. CoRR (2021)
Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera, Winnie Xu, Michael W. Mahoney
Noisy Feature Mixup. CoRR (2021)
Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney
Noisy Recurrent Neural Networks. NeurIPS (2021)
Soon Hoe Lim
Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory. J. Mach. Learn. Res. 22 (2021)
Soon Hoe Lim
Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory. CoRR (2020)