Decomposition of sequential machines - Zvi Kohavi; Edward J. Smith (SWCT, 1965)

Synthesis of Multiple Sequential Machines - Edward J. Smith; Zvi Kohavi (SWAT, 1966)

On the Number of Distinct State Assignments for Synchronous Sequential Machines. - Peter Weiner; Edward J. Smith (IEEE Trans. Electron. Comput., 1967)

Optimization of Reduced Dependencies for Synchronous Sequential Machines. - Peter Weiner; Edward J. Smith (IEEE Trans. Electron. Comput., 1967)

Improved Adversarial Systems for 3D Object Generation and Reconstruction. - Edward J. Smith; David Meger (CoRL, 2017)

Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation. - Edward J. Smith; Scott Fujimoto; David Meger (NeurIPS, 2018)

3D Object Super-Resolution. - Edward J. Smith; Scott Fujimoto; David Meger (CoRR, 2018)

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. - Edward J. Smith; Scott Fujimoto; Adriana Romero; David Meger (ICML, 2019)

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. - Wenzheng Chen; Huan Ling; Jun Gao 004; Edward J. Smith; Jaakko Lehtinen; Alec Jacobson; Sanja Fidler (NeurIPS, 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)

3D Shape Reconstruction from Vision and Touch. - Edward J. Smith; Roberto Calandra; Adriana Romero; Georgia Gkioxari; David Meger; Jitendra Malik; Michal Drozdzal (NeurIPS, 2020)

Active 3D Shape Reconstruction from Vision and Touch. - Edward J. Smith; David Meger; Luis Pineda; Roberto Calandra; Jitendra Malik; Adriana Romero-Soriano; Michal Drozdzal (NeurIPS, 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)

Frame Averaging for Invariant and Equivariant Network Design. - Omri Puny; Matan Atzmon; Edward J. Smith; Ishan Misra; Aditya Grover; Heli Ben-Hamu; Yaron Lipman (ICLR, 2022)

Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. - Edward J. Smith; Michal Drozdzal; Derek Nowrouzezahrai; David Meger; Adriana Romero-Soriano (CoRR, 2022)

For SALE: State-Action Representation Learning for Deep Reinforcement Learning. - Scott Fujimoto; Wei-Di Chang; Edward J. Smith; Shixiang Gu; Doina Precup; David Meger (NeurIPS, 2023)