Steven Kearnes

Orcid: 0000-0003-4579-4388

Affiliations:
  • Google Research, Mountain View, CA, USA
  • Stanford University, Department of Structural Biology, CA, USA (PhD)


According to our database1, Steven Kearnes authored at least 13 papers between 2014 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Data Sharing in Chemistry: Lessons Learned and a Case for Mandating Structured Reaction Data.
J. Chem. Inf. Model., July, 2023

2021
Towards understanding retrosynthesis by energy-based models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Pursuing a Prospective Perspective.
CoRR, 2020

Energy-based View of Retrosynthesis.
CoRR, 2020

Machine learning on DNA-encoded libraries: A new paradigm for hit-finding.
CoRR, 2020

2019
Decoding Molecular Graph Embeddings with Reinforcement Learning.
CoRR, 2019

2018
Optimization of Molecules via Deep Reinforcement Learning.
CoRR, 2018

Tensor Field Networks: Rotation- and Translation-Equivariant Neural Networks for 3D Point Clouds.
CoRR, 2018

2016
Osprey: Hyperparameter Optimization for Machine Learning.
J. Open Source Softw., 2016

ROCS-derived features for virtual screening.
J. Comput. Aided Mol. Des., 2016

Molecular graph convolutions: moving beyond fingerprints.
J. Comput. Aided Mol. Des., 2016

2015
Massively Multitask Networks for Drug Discovery.
CoRR, 2015

2014
SCISSORS: Practical Considerations.
J. Chem. Inf. Model., 2014


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