James Davidson

Publication Activity (10 Years)

Years Active: 1976-2023
Publications (10 Years): 26

Top Topics

Bayesian Approaches

Visual Representation

Reinforcement Learning

Top Venues

Publications

Stephanie Wills, Ruben Sanchez-Garcia, Tim Dudgeon, Stephen D. Roughley, Andy Merritt, Roderick E. Hubbard, James Davidson, Frank von Delft, Charlotte M. Deane
Fragment Merging Using a Graph Database Samples Different Catalogue Space than Similarity Search. J. Chem. Inf. Model. 63 (11) (2023)
Saurabh Gupta, Varun Tolani, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik
Cognitive Mapping and Planning for Visual Navigation. Int. J. Comput. Vis. 128 (5) (2020)
Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecká, Ayzaan Wahid, James Davidson
Visual Representations for Semantic Target Driven Navigation. ICRA (2019)
Danijar Hafner, Dustin Tran, Timothy P. Lillicrap, Alex Irpan, James Davidson
Noise Contrastive Priors for Functional Uncertainty. UAI (2019)
Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson
Learning Latent Dynamics for Planning from Pixels. ICML (2019)
Tian Ye, Xiaolong Wang, James Davidson, Abhinav Gupta
Interpretable Intuitive Physics Model. ECCV (12) (2018)
Xinchen Yan, Jasmine Hsu, Mohammad Khansari, Yunfei Bai, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee
Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations. ICRA (2018)
Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecka, James Davidson
Visual Representations for Semantic Target Driven Navigation. CoRR (2018)
Aleksandra Faust, Kenneth Oslund, Oscar Ramirez, Anthony G. Francis, Lydia Tapia, Marek Fiser, James Davidson
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-Based Planning. ICRA (2018)
Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson
Learning Latent Dynamics for Planning from Pixels. CoRR (2018)
Tian Ye, Xiaolong Wang, James Davidson, Abhinav Gupta
Interpretable Intuitive Physics Model. CoRR (2018)
Alexander Pashevich, Danijar Hafner, James Davidson, Rahul Sukthankar, Cordelia Schmid
Modulated Policy Hierarchies. CoRR (2018)
Danijar Hafner, Dustin Tran, Alex Irpan, Timothy P. Lillicrap, James Davidson
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors. CoRR (2018)
Danijar Hafner, James Davidson, Vincent Vanhoucke
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow. CoRR (2017)
Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta
Robust Adversarial Reinforcement Learning. CoRR (2017)
Luke Metz, Julian Ibarz, Navdeep Jaitly, James Davidson
Discrete Sequential Prediction of Continuous Actions for Deep RL. CoRR (2017)
Xinchen Yan, Mohi Khansari, Yunfei Bai, Jasmine Hsu, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee
Learning Grasping Interaction with Geometry-aware 3D Representations. CoRR (2017)
Danijar Hafner, Alex Irpan, James Davidson, Nicolas Heess
Learning Hierarchical Information Flow with Recurrent Neural Modules. CoRR (2017)
Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik
Cognitive Mapping and Planning for Visual Navigation. CoRR (2017)
Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik
Cognitive Mapping and Planning for Visual Navigation. CVPR (2017)
Marc Pickett, Ayush Sekhari, James Davidson
A Brief Study of In-Domain Transfer and Learning from Fewer Samples using A Few Simple Priors. CoRR (2017)
Lerrel Pinto, James Davidson, Abhinav Gupta
Supervision via competition: Robot adversaries for learning tasks. ICRA (2017)
Aleksandra Faust, Oscar Ramirez, Marek Fiser, Kenneth Oslund, Anthony G. Francis, James Davidson, Lydia Tapia
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning. CoRR (2017)
Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta
Robust Adversarial Reinforcement Learning. ICML (2017)
Danijar Hafner, Alexander Irpan, James Davidson, Nicolas Heess
Learning Hierarchical Information Flow with Recurrent Neural Modules. NIPS (2017)
Lerrel Pinto, James Davidson, Abhinav Gupta
Supervision via Competition: Robot Adversaries for Learning Tasks. CoRR (2016)
James Davidson, Benjamin Liebald, Junning Liu, Palash Nandy, Taylor Van Vleet, Ullas Gargi, Sujoy Gupta, Yu He, Mike Lambert, Blake Livingston, Dasarathi Sampath
The YouTube video recommendation system. RecSys (2010)
James Davidson, Andrea Monticini
Tests for cointegration with structural breaks based on subsamples. Comput. Stat. Data Anal. 54 (11) (2010)
James Davidson, Nigar Hashimzade
Type I and type II fractional Brownian motions: A reconsideration. Comput. Stat. Data Anal. 53 (6) (2009)
James Davidson
Towards Practical Knowledge Representation Systems. IFIP Congress (1989)
James Davidson
A Natural Language Interface for Performing Database Updates. ICDE (1984)
James Davidson, S. Jerrold Kaplan
Natural Language Access to Data Bases: Interpreting Update Requests. Am. J. Comput. Linguistics 9 (2) (1983)
James Davidson, S. Jerrold Kaplan
Parsing in the Absence of a Complete Lexicon. ACL (1980)
James Davidson, Vincent G. Sigillito
A BASIC-to-APL translator. ACM SIGAPL APL Quote Quad 6 (4) (1976)