OptNet: Differentiable Optimization as a Layer in Neural Networks

1 March 2017

J. Zico Kolter

Papers citing "OptNet: Differentiable Optimization as a Layer in Neural Networks"

33 / 583 papers shown

Title
Deep Unfolding of a Proximal Interior Point Method for Image Restoration Carla Bertocchi Émilie Chouzenoux M. Corbineau J. Pesquet M. Prato 107 108 0 11 Dec 2018
Learning Representations of Sets through Optimized Permutations Yan Zhang Jonathon S. Hare Adam Prugel-Bennett SSL 81 25 0 10 Dec 2018
Deep Inverse Optimization Yingcong Tan Andrew Delong Daria Terekhov 83 22 0 03 Dec 2018
Resource Constrained Deep Reinforcement Learning Abhinav Bhatia Pradeep Varakantham Akshat Kumar 81 47 0 03 Dec 2018
Fast UAV Trajectory Optimization using Bilevel Optimization with Analytical Gradients Weidong Sun Gao Tang Kris K. Hauser 68 56 0 27 Nov 2018
Joint Mapping and Calibration via Differentiable Sensor Fusion Jonathan P. Chen F. Obermeyer V. Lyapunov L. Gueguen Noah D. Goodman 33 0 0 21 Nov 2018
Simple, Distributed, and Accelerated Probabilistic Programming Like Hui Matthew Hoffman Siyuan Ma Christopher Suter Srinivas Vasudevan Alexey Radul M. Belkin Rif A. Saurous BDL 85 56 0 05 Nov 2018
Differentiable MPC for End-to-end Planning and Control Brandon Amos I. D. Rodriguez Jacob Sacks Byron Boots J. Zico Kolter 110 378 0 31 Oct 2018
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization Bryan Wilder B. Dilkina Milind Tambe OffRL AI4CE 100 303 0 14 Sep 2018
Deep Graph Laplacian Regularization for Robust Denoising of Real Images Jin Zeng Jiahao Pang Wenxiu Sun Gene Cheung 75 34 0 31 Jul 2018
Geo-Supervised Visual Depth Prediction Xiaohan Fei A. Wong Stefano Soatto MDE 101 73 0 30 Jul 2018
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation Peter Karkus David Hsu Wee Sun Lee 62 10 0 17 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 554 5,187 0 19 Jun 2018
BA-Net: Dense Bundle Adjustment Network Chengzhou Tang P. Tan 3DV 104 290 0 13 Jun 2018
On gradient regularizers for MMD GANs Michael Arbel Danica J. Sutherland Mikolaj Binkowski Arthur Gretton 97 95 0 29 May 2018
Learning to Optimize Contextually Constrained Problems for Real-Time Decision-Generation A. Babier Timothy C. Y. Chan Adam Diamant Rafid Mahmood 73 1 0 23 May 2018
Particle Filter Networks with Application to Visual Localization Peter Karkus David Hsu Wee Sun Lee 3DPC 63 118 0 23 May 2018
Optimizing for Generalization in Machine Learning with Cross-Validation Gradients Shane T. Barratt Rishi Sharma 43 9 0 18 May 2018
Backpropagating through Structured Argmax using a SPIGOT Hao Peng Sam Thomson Noah A. Smith 88 42 0 12 May 2018
What game are we playing? End-to-end learning in normal and extensive form games Chun Kai Ling Fei Fang J. Zico Kolter 120 84 0 07 May 2018
Universal Planning Networks A. Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn SSL 81 145 0 02 Apr 2018
Reviving and Improving Recurrent Back-Propagation Renjie Liao Yuwen Xiong Ethan Fetaya Lisa Zhang Kijung Yoon Xaq Pitkow R. Urtasun R. Zemel BDL 104 121 0 16 Mar 2018
Neural Conditional Gradients P. Schramowski Christian Bauckhage Kristian Kersting 55 2 0 12 Mar 2018
SparseMAP: Differentiable Sparse Structured Inference Vlad Niculae André F. T. Martins Mathieu Blondel Claire Cardie 51 123 0 12 Feb 2018
Differentiable Dynamic Programming for Structured Prediction and Attention A. Mensch Mathieu Blondel 73 131 0 11 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 172 243 0 07 Feb 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 55 444 0 26 Jan 2018
Extreme Dimension Reduction for Handling Covariate Shift Fulton Wang Cynthia Rudin 43 1 0 29 Nov 2017
Recurrent Relational Networks Rasmus Berg Palm Ulrich Paquet Ole Winther GNN ReLM NAI 132 142 0 21 Nov 2017
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World Tu-Hoa Pham Giovanni De Magistris Ryuki Tachibana OffRL 71 143 0 22 Sep 2017
A Regularized Framework for Sparse and Structured Neural Attention Vlad Niculae Mathieu Blondel 94 100 0 22 May 2017
Task-based End-to-end Model Learning in Stochastic Optimization P. Donti Brandon Amos J. Zico Kolter 113 24 0 13 Mar 2017
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 202 2,840 0 20 Feb 2015