User contributions for Sfarsang
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22 November 2020
- 12:2912:29, 22 November 2020 diff hist +96 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Introduction
- 12:2512:25, 22 November 2020 diff hist +6 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Conclusion
- 12:2412:24, 22 November 2020 diff hist +157 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Conclusion
- 02:5502:55, 22 November 2020 diff hist +2 stat940F21 →Paper presentation
- 02:5402:54, 22 November 2020 diff hist +125 stat940F21 →Paper presentation
- 02:5302:53, 22 November 2020 diff hist −125 stat940F21 Undo revision 45649 by Sfarsang (talk)
- 02:5202:52, 22 November 2020 diff hist +125 stat940F21 →Paper presentation
21 November 2020
- 21:2421:24, 21 November 2020 diff hist −14 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Final Remarks
- 21:2321:23, 21 November 2020 diff hist −13 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Concepts
- 21:2221:22, 21 November 2020 diff hist +12 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Architecture
- 21:2121:21, 21 November 2020 diff hist +3 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Background
- 21:2021:20, 21 November 2020 diff hist +8 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Final Remarks
- 21:1921:19, 21 November 2020 diff hist +9 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Architecture
- 21:1121:11, 21 November 2020 diff hist −6 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Background
18 November 2020
- 12:0012:00, 18 November 2020 diff hist +2 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Critiques
- 12:0012:00, 18 November 2020 diff hist 0 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Critiques
- 11:5911:59, 18 November 2020 diff hist +2 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Critiques
- 11:5811:58, 18 November 2020 diff hist +693 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations No edit summary