Kry Yik Chau Lui

Affiliations:
  • Borealis AI, Canada


According to our database1, Kry Yik Chau Lui authored at least 9 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
LassoFlexNet: Flexible Neural Architecture for Tabular Data.
CoRR, March, 2026

2025
DeepRRTime: Robust Time-series Forecasting with a Regularized INR Basis.
Trans. Mach. Learn. Res., 2025

2024
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection.
CoRR, 2024

2021
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets.
CoRR, 2021

2020
MMA Training: Direct Input Space Margin Maximization through Adversarial Training.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
On the Sensitivity of Adversarial Robustness to Input Data Distributions.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training.
CoRR, 2018

Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Improving GAN Training via Binarized Representation Entropy (BRE) Regularization.
Proceedings of the 6th International Conference on Learning Representations, 2018


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