Li Li - RankMe

13 papers A* 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Generalizability of density functionals learned from differentiable programming on weakly correlated spin-polarized systems. CoRR Bhupalee Kalita, Ryan Pederson, Li Li, Kieron Burke
2021	A*	`conf`	Scaling Symbolic Methods using Gradients for Neural Model Explanation. ICLR Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley
2021	A*	`conf`	Towards understanding retrosynthesis by energy-based models. NeurIPS Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai
2020	J	`jnl`	Energy-based View of Retrosynthesis. CoRR Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai
2020	J	`jnl`	Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics. CoRR Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, Kieron Burke
2020	J	`jnl`	Scaling Symbolic Methods using Gradients for Neural Model Explanation. CoRR Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick F. Riley
2019	J	`jnl`	Decoding Molecular Graph Embeddings with Reinforcement Learning. CoRR Steven Kearnes, Li Li, Patrick Riley
2019	J	`jnl`	Neural-Guided Symbolic Regression with Semantic Prior. CoRR Li Li, Minjie Fan, Rishabh Singh, Patrick Riley
2018	J	`jnl`	Optimization of Molecules via Deep Reinforcement Learning. CoRR Zhenpeng Zhou, Steven Kearnes, Li Li, Richard N. Zare, Patrick Riley
2018	J	`jnl`	Tensor Field Networks: Rotation- and Translation-Equivariant Neural Networks for 3D Point Clouds. CoRR Nathaniel Thomas, Tess E. Smidt, Steven Kearnes, Lusann Yang, Li Li, Kai Kohlhoff, Patrick Riley
2016	J	`jnl`	By-passing the Kohn-Sham equations with machine learning. CoRR Felix Brockherde, Li Li, Kieron Burke, Klaus-Robert Müller
2015	J	`jnl`	Understanding Kernel Ridge Regression: Common behaviors from simple functions to density functionals. CoRR Kevin Vu, John C. Snyder, Li Li, Matthias Rupp, Brandon F. Chen, Tarek Khelif, Klaus-Robert Müller, Kieron Burke
2014	J	`jnl`	Understanding Machine-learned Density Functionals. CoRR Li Li, John C. Snyder, Isabelle M. Pelaschier, Jessica Huang, Uma-Naresh Niranjan, Paul Duncan, Matthias Rupp, Klaus-Robert Müller, Kieron Burke