Deep Declarative Networks: A New Hope

11 September 2019

Papers citing "Deep Declarative Networks: A New Hope"

24 / 24 papers shown

Title
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management Shuyi Chen Ferdinando Fioretto Feng Qiu Shixiang Zhu 134 2 0 25 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yue Yang Xiao Lin Zhipeng Zhao SSL 149 10 0 28 Jan 2025
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Yufei Wang Zackory M. Erickson David Held 87 4 0 08 Feb 2024
Deep Learning for Camera Calibration and Beyond: A Survey K. Liao Lang Nie Shujuan Huang Chunyu Lin Jing Zhang Yao Zhao Moncef Gabbouj Dacheng Tao 130 27 0 19 Mar 2023
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization Dylan Campbell Liu Liu Stephen Gould 3DV 3DPC 60 60 0 29 Jul 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 76 88 0 15 Jun 2020
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization Shihao Jiang Dylan Campbell Miaomiao Liu Stephen Gould Leonid Sigal MDE 44 9 0 26 Feb 2020
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 65 109 0 20 Feb 2020
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 88 660 0 28 Oct 2019
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization Bo Chen Álvaro Parra Jiewei Cao Nan Li Tat-Jun Chin 3DH 74 93 0 13 Sep 2019
Deep Equilibrium Models Shaojie Bai J. Zico Kolter V. Koltun 92 667 0 03 Sep 2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver Po-Wei Wang P. Donti Bryan Wilder Zico Kolter LRM NAI 78 262 0 29 May 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 94 1,268 0 07 Apr 2019
Differentiable MPC for End-to-end Planning and Control Brandon Amos I. D. Rodriguez Jacob Sacks Byron Boots J. Zico Kolter 75 373 0 31 Oct 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 414 5,111 0 19 Jun 2018
Differentiable Submodular Maximization Sebastian Tschiatschek Aytunc Sahin Andreas Krause 50 45 0 05 Mar 2018
Learning Compact Neural Networks with Regularization Samet Oymak MLT 72 39 0 05 Feb 2018
Imposing Hard Constraints on Deep Networks: Promises and Limitations Pablo Márquez-Neila Mathieu Salzmann Pascal Fua PINN UQCV 145 140 0 07 Jun 2017
Discriminatively Learned Hierarchical Rank Pooling Networks Basura Fernando Stephen Gould AI4TS 49 24 0 30 May 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 156 963 0 01 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 484 14,320 0 02 Dec 2016
On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization Stephen Gould Basura Fernando A. Cherian Peter Anderson Rodrigo Santa Cruz Edison Guo 51 225 0 19 Jul 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 89 484 0 20 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015