Esther Heid

Orcid: 0000-0002-8404-6596

According to our database1, Esther Heid authored at least 10 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
ChemTorch: A Deep Learning Framework for Benchmarking and Developing Chemical Reaction Property Prediction Models.
J. Chem. Inf. Model., 2026

2025
Feynman-Kac-Flow: Inference Steering of Conditional Flow Matching to an Energy-Tilted Posterior.
CoRR, September, 2025

2024
Chemprop: A Machine Learning Package for Chemical Property Prediction.
J. Chem. Inf. Model., January, 2024

LoGAN: local generative adversarial network for novel structure prediction.
Mach. Learn. Sci. Technol., 2024

Spatially Resolved Uncertainties for Machine Learning Potentials.
J. Chem. Inf. Model., 2024

2023
Characterizing Uncertainty in Machine Learning for Chemistry.
J. Chem. Inf. Model., July, 2023

2022
Influence of Template Size, Canonicalization, and Exclusivity for Retrosynthesis and Reaction Prediction Applications.
J. Chem. Inf. Model., 2022

Machine Learning of Reaction Properties via Learned Representations of the Condensed Graph of Reaction.
J. Chem. Inf. Model., 2022

On the Value of Using 3D Shape and Electrostatic Similarities in Deep Generative Methods.
J. Chem. Inf. Model., 2022

2021
EHreact: Extended Hasse Diagrams for the Extraction and Scoring of Enzymatic Reaction Templates.
J. Chem. Inf. Model., 2021


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