Kin Long Kelvin Lee

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 6

Top Topics

Density Estimation

Machine Learning

Materials Science

Scientific Discovery

Top Venues

Trans. Mach. Learn. Res.

Publications

Maxwell X. Cai, Kin Long Kelvin Lee
ρ-Diffusion: A diffusion-based density estimation framework for computational physics. CoRR (2023)
Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings, Mikhail Galkin, Santiago Miret
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling. CoRR (2023)
Kin Long Kelvin Lee, Carmelo Gonzales, Matthew Spellings, Mikhail Galkin, Santiago Miret, Nalini Kumar
Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit. SC Workshops (2023)
Kin Long Kelvin Lee, Nalini Kumar
Artificial Intelligence for Scientific Discovery at High-Performance Computing Scales. Computer 56 (4) (2023)
Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science. Trans. Mach. Learn. Res. 2023 (2023)
Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science. CoRR (2022)