Carl Poelking

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Hierarchical Hidden Markov Models

Bayesian Framework

Generative Model

Learning Models

Top Venues

Mach. Learn. Sci. Technol.

Nat. Mac. Intell.

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)
Carl Poelking, Felix A. Faber, Bingqing Cheng
BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale. Mach. Learn. Sci. Technol. 3 (4) (2022)
Carl Poelking, Gianni Chessari, Christopher W. Murray, Richard J. Hall, Lucy Colwell, Marcel L. Verdonk
Meaningful machine learning models and machine-learned pharmacophores from fragment screening campaigns. CoRR (2022)
Carl Poelking, Felix A. Faber, Bingqing Cheng
BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale. CoRR (2021)
William McCorkindale, Carl Poelking, Alpha A. Lee
Investigating 3D Atomic Environments for Enhanced QSAR. CoRR (2020)
Carl Poelking, Yehia Amar, Alexei Lapkin, Lucy Colwell
Noisy, sparse, nonlinear: Navigating the Bermuda Triangle of physical inference with deep filtering. CoRR (2019)