William H. Guss

1. Evaluating Large Language Models Trained on Code
   2021/07/07 by Mark Chen, Chen, Mark, Jerry Tworek +122 · 9 voices · 1400 citations
   Computer Science · #Parallel Computing and Optimization Techniques #Software Engineering Research #Topic Modeling #cs.LG
2. MineRL: A Large-Scale Dataset of Minecraft Demonstrations
   2019/07/29 by William H. Guss, Brandon Houghton, Guss, William H. +11 · 28 citations
   Computer Science · Engineering · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Robot Manipulation and Learning
3. On Characterizing the Capacity of Neural Networks using Algebraic Topology
   2018/02/13 by William H. Guss, Ruslan Salakhutdinov, Guss, William H. +1 · 2 citations
   Computer Science · Engineering · #Algebraic Topology (math.AT) #Computational Geometry (cs.CG) #FOS: Computer and information sciences #FOS: Mathematics #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Topological and Geometric Data Analysis
4. The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
   2021/01/26 by William H. Guss, Guss, William H., Castro, Mario Ynocente +19 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
5. Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning
   2020/03/10 by Stephanie Milani, Nicholay Topin, Milani, Stephanie +13 · 2 citations
   Computer Science · Engineering · #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Machine Learning and Data Classification
6. Deep Function Machines: Generalized Neural Networks for Topological Layer Expression
   2016/12/14 by William H. Guss, Guss, William H. · 3 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural Networks and Reservoir Computing