Lui, Kry Yik-Chau

7 publications

TMLR 2025 DeepRRTime: Robust Time-Series Forecasting with a Regularized INR Basis Chandramouli Shama Sastry, Mahdi Gilany, Kry Yik-Chau Lui, Martin Magill, Alexander Pashevich

NeurIPSW 2024 Inference, Fast and Slow: Reinterpreting VAEs for OOD Detection Sicong Huang, Jiawei He, Kry Yik-Chau Lui

NeurIPSW 2024 Unsupervised Event Outlier Detection in Continuous Time Somjit Nath, Kry Yik-Chau Lui, Siqi Liu

ICLR 2020 MMA Training: Direct Input Space Margin Maximization Through Adversarial Training Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang

ICLR 2019 On the Sensitivity of Adversarial Robustness to Input Data Distributions Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang

CVPRW 2019 On the Sensitivity of Adversarial Robustness to Input Data Distributions Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang

ICLR 2018 Improving GAN Training via Binarized Representation Entropy (BRE) Regularization Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang