Soon Hoe Lim

According to our database, Soon Hoe Lim authored at least 15 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Is Flow Matching Just Trajectory Replay for Sequential Data?

Soon Hoe Lim, Shizheng Lin, Michael W. Mahoney, N. Benjamin Erichson

CoRR, February, 2026

A Kinetic-Energy Perspective of Flow Matching.

Ziyun Li, Huancheng Hu, Soon Hoe Lim, Xuyu Li, Fei Gao, Enmao Diao, Zezhen Ding, Michalis Vazirgiannis, Henrik Boström

CoRR, February, 2026

2025

On The Hidden Biases of Flow Matching Samplers.

Soon Hoe Lim

CoRR, December, 2025

EnfoPath: Energy-Informed Analysis of Generative Trajectories in Flow Matching.

Ziyun Li, Ben Dai, Huancheng Hu, Henrik Boström, Soon Hoe Lim

CoRR, November, 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, May, 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

Tuning Frequency Bias of State Space Models.

Annan Yu, Dongwei Lyu, Soon Hoe Lim, Michael W. Mahoney, N. Benjamin Erichson

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Gated Recurrent Neural Networks with Weighted Time-Delay Feedback.

N. Benjamin Erichson, Soon Hoe Lim, Michael W. Mahoney

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

NoisyMix: Boosting Model Robustness to Common Corruptions.

N. Benjamin Erichson, Soon Hoe Lim, Winnie Xu, Francisco Utrera, Ziang Cao, Michael W. Mahoney

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

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

Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent.

Soon Hoe Lim, Yijun Wan, Umut Simsekli

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Noisy Feature Mixup.

Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera, Winnie Xu, Michael W. Mahoney

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory.

Soon Hoe Lim

J. Mach. Learn. Res., 2021

Noisy Recurrent Neural Networks.

Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2017

Bose polaron as an instance of quantum Brownian motion.

Aniello Lampo, Soon Hoe Lim, Miguel Ángel García-March, Maciej Lewenstein

Quantum, 2017