Yik Chau (Kry) Lui
Researcher
MSc Mathematics, University of Toronto
Research Areas
Adversarial Learning
Generalization
Time Series Analysis
Optimization in Machine Learning
Publications
Feb. 20, 2018
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
International Conference on Learning Representations (ICLR), 2018
Oct. 30, 2017
Implicit Manifold Learning on Generative Adversarial Networks
Workshop on Implicit Models (ICML), 2017
Sept. 5, 2018
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
Neural Information Processing Systems (NeurIPS), 2018
May 6, 2019
On the Sensitivity of Adversarial Robustness to Input Data Distributions
International Conference on Learning Representations (ICLR), 2019
May 6, 2019
Max-Margin Adversarial Training: Direct Input Space Margin Maximization through Adversarial Training
Workshop on SafeML (ICLR), 2019