Edmund Lau

11 papers A 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Boundary Point Jailbreaking of Black-Box LLMs.
CoRR
Xander Davies, Giorgi Giglemiani, Edmund Lau, Eric Winsor, Geoffrey Irving, Yarin Gal
2025 J jnl
Compressibility Measures Complexity: Minimum Description Length Meets Singular Learning Theory.
CoRR
Einar Urdshals, Edmund Lau, Jesse Hoogland, Stan van Wingerden, Daniel Murfet
2025 A conf
The Local Learning Coefficient: A Singularity-Aware Complexity Measure.
AISTATS
Edmund Lau, Zach Furman, George Wang, Daniel Murfet, Susan Wei
2024 J jnl
Variational Bayesian Neural Networks via Resolution of Singularities.
J. Comput. Graph. Stat.
Susan Wei, Edmund Lau
2023 J jnl
Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition.
CoRR
Zhongtian Chen, Edmund Lau, Jake Mendel, Susan Wei, Daniel Murfet
2023 J jnl
Quantifying degeneracy in singular models via the learning coefficient.
CoRR
Edmund Lau, Daniel Murfet, Susan Wei
2023 J jnl
Variational Bayesian Neural Networks via Resolution of Singularities.
CoRR
Susan Wei, Edmund Lau
2020 — conf
Designing an Autonomous Vehicle System Design Course for COVID-19 Remote Learning under First Principles of Instruction Framework.
TALE
Edmund Lau, Chi-Un Lei, Tzi-Dong Jeremy Ng, King-Shan Lui, King Hang Lam, Timothy K. F. Hew, Vincent W. L. Tam
2019 — conf
Applying Instructional Design in Engineering Education and Industrial Training: An Integrative Review.
TALE
Tzi-Dong Jeremy Ng, Chi-Un Lei, Edmund Lau, King-Shan Lui, King Hang Lam, Tyrone T. O. Kwok, Xiao Hu, Peter Warning, Vincent W. L. Tam
2018 — conf
Improving Student Technical Skills Learning Experience: Designing Engineering Training with the First Principles of Instruction.
TALE
Edmund Lau, Chi-Un Lei, Tyrone T. O. Kwok, King-Shan Lui, Timothy K. F. Hew, Vincent W. L. Tam
2016 J jnl
UNDR ROVER - a fast and accurate variant caller for targeted DNA sequencing.
BMC Bioinform.
Daniel J. Park, Roger Li, Edmund Lau, Peter Georgeson, Tu Nguyen-Dumont, Bernard J. Pope