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"

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Title
PONG: Probabilistic Object Normals for Grasping via Analytic Bounds on Force Closure Probability Albert H. Li Preston Culbertson Aaron D. Ames 86 1 0 29 Sep 2023
Learning the Efficient Frontier Philippe Chatigny Ivan Sergienko Ryan Ferguson Jordan Weir Maxime Bergeron 36 1 0 27 Sep 2023
Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos Rama Krishna Kandukuri Michael Strecke Joerg Stueckler 99 2 0 27 Sep 2023
Deep Learning for Optimization of Trajectories for Quadrotors Yuwei Wu Xiatao Sun Igor Spasojevic Vijay Kumar 78 10 0 26 Sep 2023
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation Zizhang Wu Zhuozheng Li Zhi-Gang Fan Yunzhe Wu Xiaoquan Wang Rui Tang Jian Pu 79 2 0 26 Sep 2023
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation Ruiyuan Kang Tingting Mu P. Liatsis D. Kyritsis 112 2 0 25 Sep 2023
Learning Covariances for Estimation with Constrained Bilevel Optimization Mohamad Qadri Zachary Manchester Michael Kaess 95 5 0 18 Sep 2023
CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning Jeremy Morgan David Millard Gaurav Sukhatme 57 5 0 16 Sep 2023
Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming A. Chriat Chuangchuang Sun 86 4 0 15 Sep 2023
A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling Charles Dawson Chuchu Fan 59 0 0 14 Sep 2023
Uncovering mesa-optimization algorithms in Transformers J. Oswald Eyvind Niklasson Maximilian Schlegel Seijin Kobayashi Nicolas Zucchet ... Mark Sandler Blaise Agüera y Arcas Max Vladymyrov Razvan Pascanu João Sacramento 72 64 0 11 Sep 2023
Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions Wei Xiao R. Allen Daniela Rus 50 1 0 06 Sep 2023
Learning Observation Models with Incremental Non-Differentiable Graph Optimizers in the Loop for Robotics State Estimation Mohamad Qadri Michael Kaess 91 4 0 05 Sep 2023
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming Shinsaku Sakaue Taihei Oki 97 1 0 01 Sep 2023
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Torsten Bertram AI4CE 103 5 0 31 Aug 2023
A Game of Bundle Adjustment -- Learning Efficient Convergence Amir Belder R. Vivanti A. Tal 59 2 0 25 Aug 2023
DFWLayer: Differentiable Frank-Wolfe Optimization Layer Zixuan Liu Liu Liu Xueqian Wang P. Zhao AI4CE 103 0 0 21 Aug 2023
Differentiable Robust Model Predictive Control Alex Oshin Hassan Almubarak Evangelos A. Theodorou 60 6 0 16 Aug 2023
SCQPTH: an efficient differentiable splitting method for convex quadratic programming A. Butler 19 1 0 16 Aug 2023
DF2: Distribution-Free Decision-Focused Learning Lingkai Kong Wenhao Mu Jiaming Cui Yuchen Zhuang B. Prakash Bo Dai Chao Zhang OffRL 91 1 0 11 Aug 2023
End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control Daniel Mayfrank Alexander Mitsos Manuel Dahmen 71 3 0 03 Aug 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities Jayanta Mandi James Kotary Senne Berden Maxime Mulamba Víctor Bucarey Tias Guns Ferdinando Fioretto AI4CE 133 72 0 25 Jul 2023
A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints A. Konstantinov Lev V. Utkin 84 11 0 19 Jul 2023
Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networks William F. Podlaski C. Machens 59 10 0 18 Jul 2023
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information Arman Zharmagambetov Brandon Amos Aaron Ferber Taoan Huang B. Dilkina Yuandong Tian AI4CE 84 11 0 18 Jul 2023
RAYEN: Imposition of Hard Convex Constraints on Neural Networks J. Tordesillas Jonathan P. How Marco Hutter 64 16 0 17 Jul 2023
Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks Haobo Song Soumajit Majumder Tao R. Lin VLM 86 0 0 16 Jul 2023
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning Mattia Silvestri Senne Berden Jayanta Mandi Ali .Irfan Mahmutougullari Maxime Mulamba Tias Guns M. Lombardi 93 5 0 11 Jul 2023
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation Yan-hong Gao Yan Wang Qiang Wang AI4TS 54 0 0 30 Jun 2023
Deep Equilibrium Multimodal Fusion Jinhong Ni Yalong Bai Wei Zhang Ting Yao Tao Mei 90 1 0 29 Jun 2023
Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks Stephen Gould Mingle Xu Zhiwei Xu Yanbin Liu 104 0 0 24 Jun 2023
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction F. Zimmermann C. Kolbitsch Patrick Schuenke A. Kofler 50 7 0 19 Jun 2023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty Utsav Sadana A. Chenreddy Erick Delage Alexandre Forel Emma Frejinger Thibaut Vidal AI4CE 119 94 0 17 Jun 2023
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller Yuxiang Yang Guanya Shi Xiang Meng Wenhao Yu Tingnan Zhang Jie Tan Byron Boots 102 28 0 16 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 102 5 0 14 Jun 2023
Self-supervised Equality Embedded Deep Lagrange Dual for Approximate Constrained Optimization Minsoo Kim Hongseok Kim 78 4 0 11 Jun 2023
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming Xinlei Niu Christian J. Walder J. Zhang Charles Patrick Martin BDL 29 0 0 05 Jun 2023
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models Wei Xiao Tsun-Hsuan Wang Chuang Gan Daniela Rus DiffM 66 32 0 31 May 2023
A Novel Black Box Process Quality Optimization Approach based on Hit Rate Yang Yang Jian Wu Xiangman Song Derun Wu Lijie Su L. Tang 82 0 0 31 May 2023
Power Control with QoS Guarantees: A Differentiable Projection-based Unsupervised Learning Framework Mehrazin Alizadeh Hina Tabassum 33 11 0 31 May 2023
Uncertain Pose Estimation during Contact Tasks using Differentiable Contact Features Jeongmin Lee Minji Lee Dongjun Lee 80 9 0 26 May 2023
Test like you Train in Implicit Deep Learning Zaccharie Ramzi Pierre Ablin Gabriel Peyré Thomas Moreau 97 3 0 24 May 2023
One-step differentiation of iterative algorithms Jérôme Bolte Edouard Pauwels Samuel Vaiter 140 15 0 23 May 2023
Exploring the Space of Key-Value-Query Models with Intention M. Garnelo Wojciech M. Czarnecki 86 8 0 17 May 2023
Graph Reinforcement Learning for Network Control via Bi-Level Optimization Daniele Gammelli James Harrison Kaidi Yang Marco Pavone Filipe Rodrigues Francisco Câmara Pereira AI4CE 92 8 0 16 May 2023
Scalable Coupling of Deep Learning with Logical Reasoning Marianne Defresne S. Barbe T. Schiex NAI AI4CE 129 7 0 12 May 2023
On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach A. Chriat Chuangchuang Sun 81 4 0 05 May 2023
Data-driven and Physics Informed Modelling of Chinese Hamster Ovary Cell Bioreactors Tianqi Cui Tom S. Bertalan Nelson Ndahiro Pratik Khare Michael Betenbaugh C. Maranas Ioannis G. Kevrekidis 24 9 0 05 May 2023
Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype algorithm Panagiotis D. Grontas Carlo Cenedese Marta Fochesato Giuseppe Belgioioso John Lygeros Florian Dorfler 16 3 0 24 Apr 2023
EEE, Remediating the failure of machine learning models via a network-based optimization patch Ruiyuan Kang D. Kyritsis P. Liatsis 118 0 0 22 Apr 2023