Lucian Chan

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 7

Top Topics

Conditional Density Estimation

Monte Carlo Sampling

Kernel Function

Top Venues

Nat. Mac. Intell.

J. Cheminformatics

Publications

Lucian Chan, Marcel L. Verdonk, Carl Poelking
Embracing assay heterogeneity with neural processes for markedly improved bioactivity predictions. CoRR (2023)
Lucian Chan, Rajendra Kumar, Marcel L. Verdonk, Carl Poelking
A multilevel generative framework with hierarchical self-contrasting for bias control and transparency in structure-based ligand design. Nat. Mac. Intell. 4 (12) (2022)
Lucian Chan, Rajendra Kumar, Marcel L. Verdonk, Carl Poelking
3D pride without 2D prejudice: Bias-controlled multi-level generative models for structure-based ligand design. CoRR (2022)
Jean-Francois Ton, Lucian Chan, Yee Whye Teh, Dino Sejdinovic
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings. AISTATS (2021)
Lucian Chan, Geoffrey R. Hutchison, Garrett M. Morris
Understanding Ring Puckering in Small Molecules and Cyclic Peptides. J. Chem. Inf. Model. 61 (2) (2021)
Jean-Francois Ton, Lucian Chan, Yee Whye Teh, Dino Sejdinovic
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings. CoRR (2019)
Lucian Chan, Geoffrey R. Hutchison, Garrett M. Morris
Bayesian optimization for conformer generation. J. Cheminformatics 11 (1) (2019)