Edward J. Smith

According to our database, Edward J. Smith authored at least 16 papers between 1965 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

For SALE: State-Action Representation Learning for Deep Reinforcement Learning.

Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Gu, Doina Precup, David Meger

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Uncertainty-Driven Active Vision for Implicit Scene Reconstruction.

Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger, Adriana Romero-Soriano

CoRR, 2022

Frame Averaging for Invariant and Equivariant Network Design.

Omri Puny, Matan Atzmon, Edward J. Smith, Ishan Misra, Aditya Grover, Heli Ben-Hamu, Yaron Lipman

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Active 3D Shape Reconstruction from Vision and Touch.

Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal

CoRR, 2021

Active 3D Shape Reconstruction from Vision and Touch.

Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

3D Shape Reconstruction from Vision and Touch.

Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research.

Krishna Murthy Jatavallabhula, Edward J. Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang, Rev Lebaredian, Sanja Fidler

CoRR, 2019

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer.

Wenzheng Chen, Huan Ling, Jun Gao, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects.

Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

3D Object Super-Resolution.

Edward J. Smith, Scott Fujimoto, David Meger

CoRR, 2018

Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation.

Edward J. Smith, Scott Fujimoto, David Meger

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Improved Adversarial Systems for 3D Object Generation and Reconstruction.

Edward J. Smith, David Meger

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

1967

Optimization of Reduced Dependencies for Synchronous Sequential Machines.

Peter Weiner, Edward J. Smith

IEEE Trans. Electron. Comput., 1967

On the Number of Distinct State Assignments for Synchronous Sequential Machines.

Peter Weiner, Edward J. Smith

IEEE Trans. Electron. Comput., 1967

1966

Synthesis of Multiple Sequential Machines

Edward J. Smith, Zvi Kohavi

Proceedings of the 7th Annual Symposium on Switching and Automata Theory, 1966

1965

Decomposition of sequential machines

Zvi Kohavi, Edward J. Smith

Proceedings of the 6th Annual Symposium on Switching Circuit Theory and Logical Design, 1965