Matthew Lau

According to our database, Matthew Lau authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection.

Matthew Lau, Ismaïla Seck, Athanasios P. Meliopoulos, Wenke Lee, Eugène Ndiaye

Trans. Mach. Learn. Res., 2024

Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice.

Tian-Yi Zhou, Matthew Lau, Jizhou Chen, Wenke Lee, Xiaoming Huo

CoRR, 2024

Non-Robust Features are Not Always Useful in One-Class Classification.

Matthew Lau, Haoran Wang, Alec Helbling, Matthew Hull, Shengyun Peng, Martin Andreoni, Willian T. Lunardi, Wenke Lee

CoRR, 2024

Geometric Implications of Classification on Reducing Open Space Risk.

Matthew Lau, Leyan Pan, Stefan Davidov, Athanasios P. Meliopoulos, Wenke Lee

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Physics-Assisted Explainable Anomaly Detection in Power Systems.

Matthew Lau, Fahad Alsaeed, Kayla Thames, Nano Suresettakul, Saman A. Zonouz, Wenke Lee, Athanasios P. Meliopoulos

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

AICRID: AI-Empowered CR For Interior Design.

Jin Qi Yeo, Yidi Wang, Shawn Tanary, Jiaxuan Cheng, Matthew Lau, Aik Beng Ng, Frank Guan

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2023

2022

Active Distribution System Coordinated Control Method via Artificial Intelligence.

Matthew Lau, Kayla Thames, Sakis Meliopoulos

CoRR, 2022