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Journal Articles
- 2023
[j6]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): 3423-3437 (2023)- 2020
- [j5]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): 1311-1330 (2020) - 2010
- [j4]James Davidson, Andrea Monticini:
Tests for cointegration with structural breaks based on subsamples. Comput. Stat. Data Anal. 54(11): 2498-2511 (2010) - 2009
- [j3]James Davidson, Nigar Hashimzade:
Type I and type II fractional Brownian motions: A reconsideration. Comput. Stat. Data Anal. 53(6): 2089-2106 (2009) - 1983
- [j2]James Davidson, S. Jerrold Kaplan:
Natural Language Access to Data Bases: Interpreting Update Requests. Am. J. Comput. Linguistics 9(2): 57-68 (1983) - 1976
- [j1]James Davidson, Vincent G. Sigillito:
A BASIC-to-APL translator. ACM SIGAPL APL Quote Quad 6(4): 8-13 (1976)
Conference and Workshop Papers
- 2019
- [c14]Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson:
Learning Latent Dynamics for Planning from Pixels. ICML 2019: 2555-2565 - [c13]Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecká, Ayzaan Wahid, James Davidson:
Visual Representations for Semantic Target Driven Navigation. ICRA 2019: 8846-8852 - [c12]Danijar Hafner, Dustin Tran, Timothy P. Lillicrap, Alex Irpan, James Davidson:
Noise Contrastive Priors for Functional Uncertainty. UAI 2019: 905-914 - 2018
- [c11]Tian Ye, Xiaolong Wang, James Davidson, Abhinav Gupta:
Interpretable Intuitive Physics Model. ECCV (12) 2018: 89-105 - [c10]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: 1-9 - [c9]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: 5113-5120 - 2017
- [c8]Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik:
Cognitive Mapping and Planning for Visual Navigation. CVPR 2017: 7272-7281 - [c7]Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta:
Robust Adversarial Reinforcement Learning. ICML 2017: 2817-2826 - [c6]Lerrel Pinto, James Davidson, Abhinav Gupta:
Supervision via competition: Robot adversaries for learning tasks. ICRA 2017: 1601-1608 - [c5]Danijar Hafner, Alexander Irpan, James Davidson, Nicolas Heess:
Learning Hierarchical Information Flow with Recurrent Neural Modules. NIPS 2017: 6724-6733 - 2010
- [c4]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: 293-296 - 1989
- [c3]James Davidson:
Towards Practical Knowledge Representation Systems. IFIP Congress 1989: 193 - 1984
- [c2]James Davidson:
A Natural Language Interface for Performing Database Updates. ICDE 1984: 69-76 - 1980
- [c1]James Davidson, S. Jerrold Kaplan:
Parsing in the Absence of a Complete Lexicon. ACL 1980
Informal and Other Publications
- 2018
- [i14]Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecka, James Davidson:
Visual Representations for Semantic Target Driven Navigation. CoRR abs/1805.06066 (2018) - [i13]Danijar Hafner, Dustin Tran, Alex Irpan, Timothy P. Lillicrap, James Davidson:
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors. CoRR abs/1807.09289 (2018) - [i12]Tian Ye, Xiaolong Wang, James Davidson, Abhinav Gupta:
Interpretable Intuitive Physics Model. CoRR abs/1808.10002 (2018) - [i11]Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson:
Learning Latent Dynamics for Planning from Pixels. CoRR abs/1811.04551 (2018) - [i10]Alexander Pashevich, Danijar Hafner, James Davidson, Rahul Sukthankar, Cordelia Schmid:
Modulated Policy Hierarchies. CoRR abs/1812.00025 (2018) - 2017
- [i9]Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik:
Cognitive Mapping and Planning for Visual Navigation. CoRR abs/1702.03920 (2017) - [i8]Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta:
Robust Adversarial Reinforcement Learning. CoRR abs/1703.02702 (2017) - [i7]Luke Metz, Julian Ibarz, Navdeep Jaitly, James Davidson:
Discrete Sequential Prediction of Continuous Actions for Deep RL. CoRR abs/1705.05035 (2017) - [i6]Danijar Hafner, Alex Irpan, James Davidson, Nicolas Heess:
Learning Hierarchical Information Flow with Recurrent Neural Modules. CoRR abs/1706.05744 (2017) - [i5]Marc Pickett, Ayush Sekhari, James Davidson:
A Brief Study of In-Domain Transfer and Learning from Fewer Samples using A Few Simple Priors. CoRR abs/1707.03979 (2017) - [i4]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 abs/1708.07303 (2017) - [i3]Danijar Hafner, James Davidson, Vincent Vanhoucke:
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow. CoRR abs/1709.02878 (2017) - [i2]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 abs/1710.03937 (2017) - 2016
- [i1]Lerrel Pinto, James Davidson, Abhinav Gupta:
Supervision via Competition: Robot Adversaries for Learning Tasks. CoRR abs/1610.01685 (2016)
Coauthor Index
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