Kirkpatrick, James

1. Progressive Neural Networks
   2016/06/15 by Andrei A. Rusu, Rusu, Andrei A., Neil C. Rabinowitz +13 · 3 voices · 150 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Reservoir Computing #Reinforcement Learning in Robotics #cs.LG
2. Policy Distillation
   2015/11/19 by Andrei A. Rusu, Rusu, Andrei A., Sergio Gómez Colmenarejo +17 · 1 voice · 75 citations
   Computer Science · Engineering · #CCD and CMOS Imaging Sensors #Neural Networks and Reservoir Computing #Visual Attention and Saliency Detection #cs.LG
3. Distral: Robust Multitask Reinforcement Learning
   2017/07/13 by Yee Whye Teh, Teh, Yee Whye, Victor Bapst +13 · 42 citations
   Computer Science · #Adaptive Dynamic Programming Control #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Reinforcement Learning in Robotics
4. Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond
   2021/06/15 by Jonathan Godwin, Michael Schaarschmidt, Godwin, Jonathan +13 · 6 citations
   Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
5. An approximate method for calculating transfer integrals based on the ZINDO Hamiltonian
   2006/10/31 by James Kirkpatrick, Kirkpatrick, James · 2 citations
   Engineering · Physics and Astronomy · #Chemical Physics (physics.chem-ph) #FOS: Physical sciences #Nuclear reactor physics and engineering #Particle Accelerators and Free-Electron Lasers #Superconducting Materials and Applications #physics.chem-ph
6. Learned Force Fields Are Ready For Ground State Catalyst Discovery
   2022/09/26 by Schaarschmidt, Michael, Riviere, Morgane, Ganose, Alex M. +6 · 1 citation
   #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)