Li Li

Affiliations:
  • Google AI, Mountain View, CA, USA


According to our database1, Li Li authored at least 12 papers between 2014 and 2021.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2021
Generalizability of density functionals learned from differentiable programming on weakly correlated spin-polarized systems.
CoRR, 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

Scaling Symbolic Methods using Gradients for Neural Model Explanation.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics.
CoRR, 2020

Energy-based View of Retrosynthesis.
CoRR, 2020

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

Neural-Guided Symbolic Regression with Semantic Prior.
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
By-passing the Kohn-Sham equations with machine learning.
CoRR, 2016

2015
Understanding Kernel Ridge Regression: Common behaviors from simple functions to density functionals.
CoRR, 2015

2014
Understanding Machine-learned Density Functionals.
CoRR, 2014


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