Li Li

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Top Venues

Publications

Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley
Scaling Symbolic Methods using Gradients for Neural Model Explanation. ICLR (2021)
Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai
Towards understanding retrosynthesis by energy-based models. NeurIPS (2021)
Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, Kieron Burke
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics. CoRR (2020)
Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick F. Riley
Scaling Symbolic Methods using Gradients for Neural Model Explanation. CoRR (2020)
Steven M. Kearnes, Li Li, Patrick Riley
Decoding Molecular Graph Embeddings with Reinforcement Learning. CoRR (2019)
Li Li, Minjie Fan, Rishabh Singh, Patrick Riley
Neural-Guided Symbolic Regression with Semantic Prior. CoRR (2019)
Zhenpeng Zhou, Steven M. Kearnes, Li Li, Richard N. Zare, Patrick Riley
Optimization of Molecules via Deep Reinforcement Learning. CoRR (2018)
Nathaniel Thomas, Tess Smidt, Steven M. Kearnes, Lusann Yang, Li Li, Kai Kohlhoff, Patrick Riley
Tensor Field Networks: Rotation- and Translation-Equivariant Neural Networks for 3D Point Clouds. CoRR (2018)