Edward J. Smith

22 papers A* 7Misc 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	For SALE: State-Action Representation Learning for Deep Reinforcement Learning. NeurIPS Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Gu, Doina Precup, David Meger
2023	J	`jnl`	For SALE: State-Action Representation Learning for Deep Reinforcement Learning. CoRR Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Shane Gu, Doina Precup, David Meger
2022	A*	`conf`	Frame Averaging for Invariant and Equivariant Network Design. ICLR Omri Puny, Matan Atzmon, Edward J. Smith, Ishan Misra, Aditya Grover, Heli Ben-Hamu, Yaron Lipman
2022	J	`jnl`	Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. CoRR Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger, Adriana Romero-Soriano
2021	A*	`conf`	Active 3D Shape Reconstruction from Vision and Touch. NeurIPS Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal
2021	J	`jnl`	Active 3D Shape Reconstruction from Vision and Touch. CoRR Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal
2021	J	`jnl`	Frame Averaging for Invariant and Equivariant Network Design. CoRR Omri Puny, Matan Atzmon, Heli Ben-Hamu, Edward J. Smith, Ishan Misra, Aditya Grover, Yaron Lipman
2020	A*	`conf`	3D Shape Reconstruction from Vision and Touch. NeurIPS Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
2020	J	`jnl`	3D Shape Reconstruction from Vision and Touch. CoRR Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
2019	A*	`conf`	GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. ICML Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger
2019	J	`jnl`	GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. CoRR Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger
2019	J	`jnl`	Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research. CoRR Krishna Murthy Jatavallabhula, Edward J. Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang, Rev Lebaredian, Sanja Fidler
2019	A*	`conf`	Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. NeurIPS Wenzheng Chen, Huan Ling, Jun Gao, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler
2019	J	`jnl`	Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. CoRR Wenzheng Chen, Jun Gao, Huan Ling, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler
2018	J	`jnl`	3D Object Super-Resolution. CoRR Edward J. Smith, Scott Fujimoto, David Meger
2018	A*	`conf`	Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation. NeurIPS Edward J. Smith, Scott Fujimoto, David Meger
2017	Misc	`conf`	Improved Adversarial Systems for 3D Object Generation and Reconstruction. CoRL Edward J. Smith, David Meger
2017	J	`jnl`	Improved Adversarial Systems for 3D Object Generation and Reconstruction. CoRR Edward J. Smith, David Meger
1967	J	`jnl`	On the Number of Distinct State Assignments for Synchronous Sequential Machines. IEEE Trans. Electron. Comput. Peter Weiner, Edward J. Smith
1967	J	`jnl`	Optimization of Reduced Dependencies for Synchronous Sequential Machines. IEEE Trans. Electron. Comput. Peter Weiner, Edward J. Smith
1966	—	`conf`	Synthesis of Multiple Sequential Machines SWAT Edward J. Smith, Zvi Kohavi
1965	—	`conf`	Decomposition of sequential machines SWCT Zvi Kohavi, Edward J. Smith