Li Li

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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

Bhupalee Kalita, Ryan Pederson, Li Li, Kieron Burke

CoRR, 2021

Towards understanding retrosynthesis by energy-based models.

Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai

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.

Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

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

Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, Kieron Burke

CoRR, 2020

Energy-based View of Retrosynthesis.

Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai

CoRR, 2020

2019

Decoding Molecular Graph Embeddings with Reinforcement Learning.

Steven Kearnes, Li Li, Patrick Riley

CoRR, 2019

Neural-Guided Symbolic Regression with Semantic Prior.

Li Li, Minjie Fan, Rishabh Singh, Patrick Riley

CoRR, 2019

2018

Optimization of Molecules via Deep Reinforcement Learning.

Zhenpeng Zhou, Steven Kearnes, Li Li, Richard N. Zare, Patrick Riley

CoRR, 2018

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

Nathaniel Thomas, Tess E. Smidt, Steven Kearnes, Lusann Yang, Li Li, Kai Kohlhoff, Patrick Riley

CoRR, 2018

2016

By-passing the Kohn-Sham equations with machine learning.

Felix Brockherde, Li Li, Kieron Burke, Klaus-Robert Müller

CoRR, 2016

2015

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

Kevin Vu, John C. Snyder, Li Li, Matthias Rupp, Brandon F. Chen, Tarek Khelif, Klaus-Robert Müller, Kieron Burke

CoRR, 2015

2014

Understanding Machine-learned Density Functionals.

Li Li, John C. Snyder, Isabelle M. Pelaschier, Jessica Huang, Uma-Naresh Niranjan, Paul Duncan, Matthias Rupp, Klaus-Robert Müller, Kieron Burke

CoRR, 2014