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"

50 / 218 papers shown

Title
Graph Reinforcement Learning for Network Control via Bi-Level Optimization Daniele Gammelli James Harrison Kaidi Yang Marco Pavone Filipe Rodrigues Francisco Câmara Pereira AI4CE 38 6 0 16 May 2023
Learning Robust and Correct Controllers from Signal Temporal Logic Specifications Using BarrierNet Wenliang Liu Wei Xiao C. Belta 35 6 0 12 Apr 2023
Learning Stability Attention in Vision-based End-to-end Driving Policies Tsun-Hsuan Wang Wei Xiao Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 30 6 0 05 Apr 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization Tanmay Gautam Samuel Pfrommer Somayeh Sojoudi 26 2 0 29 Mar 2023
Neural Partial Differential Equations with Functional Convolution Z. Wu Xingzhe He Yijun Li Cheng-Fu Yang Rui Liu S. Xiong Bo Zhu 23 1 0 10 Mar 2023
FRoGGeR: Fast Robust Grasp Generation via the Min-Weight Metric Albert H. Li Preston Culbertson J. W. Burdick Aaron D. Ames OffRL 33 14 0 27 Feb 2023
Differentiable Arbitrating in Zero-sum Markov Games Jing Wang Meichen Song Feng Gao Boyi Liu Zhaoran Wang Yi Wu 43 2 0 20 Feb 2023
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies Fang-le Zhou Chenle Pan Lintao Ma Yu Liu Shiyu Wang ... Xu Hu Yun Hu Yang Zheng Lei Lei Yun Hu 29 3 0 11 Feb 2023
CQnet: convex-geometric interpretation and constraining neural-network trajectories Bas Peters 35 0 0 09 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization Siyuan Xu Minghui Zhu 29 20 0 03 Feb 2023
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks Ryan Thompson Amir Dezfouli Robert Kohn 35 4 0 02 Feb 2023
Aquarium: A Fully Differentiable Fluid-Structure Interaction Solver for Robotics Applications Jeonghoon Lee M. Michelis Robert K. Katzschmann Zachary Manchester 27 4 0 17 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 40 3 0 22 Dec 2022
Towards Cooperative Flight Control Using Visual-Attention Lianhao Yin Makram Chahine Tsun-Hsuan Wang Tim Seyde Chao Liu Mathias Lechner Ramin Hasani Daniela Rus 27 5 0 21 Dec 2022
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems Jérôme Bolte Edouard Pauwels Antonio Silveti-Falls 26 13 0 15 Dec 2022
RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging Heng Li Zhaopeng Cui Shuaicheng Liu Ping Tan 29 15 0 14 Dec 2022
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 38 4 0 13 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software Hongrui Zheng Zirui Zang Shuo Yang Rahul Mangharam 29 0 0 01 Dec 2022
Simultaneous Spatial and Temporal Assignment for Fast UAV Trajectory Optimization using Bilevel Optimization Qianzhong Chen Sheng Cheng N. Hovakimyan 8 2 0 29 Nov 2022
End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong Jiaming Cui Yuchen Zhuang Rui Feng B. Prakash Chao Zhang 24 16 0 25 Nov 2022
Learning to Play Trajectory Games Against Opponents with Unknown Objectives Xinjie Liu Lasse Peters Javier Alonso-Mora 42 28 0 24 Nov 2022
Exploring Physical Latent Spaces for High-Resolution Flow Restoration Chloé Paliard Nils Thuerey Kiwon Um AI4CE 25 0 0 21 Nov 2022
Tractable Evaluation of Stein's Unbiased Risk Estimate with Convex Regularizers Parth Nobel Emmanuel Candès Stephen P. Boyd ELM LLMSV 34 5 0 11 Nov 2022
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems Rahul Mourya João F. C. Mota 30 2 0 06 Nov 2022
Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Yi Ma FAtt 35 27 0 24 Oct 2022
Deep Equilibrium Approaches to Diffusion Models Ashwini Pokle Zhengyang Geng Zico Kolter DiffM 30 39 0 23 Oct 2022
Differentiable Constrained Imitation Learning for Robot Motion Planning and Control Christopher P. Diehl Janis Adamek Martin Krüger F. Hoffmann Torsten Bertram 16 4 0 21 Oct 2022
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures Yatin Nandwani Rishabh Ranjan Mausam Parag Singla 33 7 0 17 Oct 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers Juncheng Liu Bryan Hooi Kenji Kawaguchi X. Xiao AI4CE 24 20 0 15 Oct 2022
On the Forward Invariance of Neural ODEs Wei Xiao Tsun-Hsuan Wang Ramin Hasani Mathias Lechner Yutong Ban Chuang Gan Daniela Rus 44 11 0 10 Oct 2022
Differentiable Mathematical Programming for Object-Centric Representation Learning Adeel Pervez Phillip Lippe E. Gavves OCL 44 5 0 05 Oct 2022
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 56 51 0 04 Oct 2022
Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition D. Kim B. Song OT 45 10 0 25 Sep 2022
A novel corrective-source term approach to modeling unknown physics in aluminum extraction process Haakon Robinson E. Lundby Adil Rasheed J. Gravdahl 28 5 0 22 Sep 2022
Differentiable Safe Controller Design through Control Barrier Functions Shuo Yang Shaoru Chen V. Preciado Rahul Mangharam 44 18 0 20 Sep 2022
Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach Saber Jafarpour A. Davydov Matthew Abate Francesco Bullo Samuel Coogan 13 1 0 08 Aug 2022
Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions Sheheryar Mehmood Peter Ochs 37 3 0 05 Aug 2022
Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda Taosha Fan Maurizio Monge S. Venkataraman Paloma Sodhi ... Austin S. Wang Stuart Anderson Jing Dong Brandon Amos Mustafa Mukadam 34 76 0 19 Jul 2022
Learning differentiable solvers for systems with hard constraints Geoffrey Negiar Michael W. Mahoney Aditi S. Krishnapriyan 34 28 0 18 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas Griffiths Sergey Levine OCL 69 58 0 02 Jul 2022
Differentiable Collision Detection for a Set of Convex Primitives K. Tracy Taylor A. Howell Zachary Manchester 36 43 0 01 Jul 2022
Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization A. Wu Michelle Guo Chenxi Liu 22 30 0 01 Jul 2022
Stability Verification of Neural Network Controllers using Mixed-Integer Programming Roland Schwan Colin N. Jones Daniel Kuhn 35 24 0 27 Jun 2022
Distributionally Robust End-to-End Portfolio Construction Giorgio Costa G. Iyengar OOD 17 13 0 10 Jun 2022
Flexible Differentiable Optimization via Model Transformations Mathieu Besançon J. Garcia B. Legat Akshay Sharma 34 9 0 10 Jun 2022
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach Sindre Stenen Blakseth Adil Rasheed T. Kvamsdal Omer San AI4CE 26 31 0 07 Jun 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 27 6 0 06 Jun 2022
Learning to Sequence and Blend Robot Skills via Differentiable Optimization Noémie Jaquier You Zhou J. Starke Tamim Asfour 22 7 0 01 Jun 2022
Physics guided neural networks for modelling of non-linear dynamics Haakon Robinson Suraj Pawar Adil Rasheed Omer San PINN AI4TS AI4CE 24 47 0 13 May 2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations Maximilian Mueller Robin Greif Frank Jenko Nils Thuerey 24 3 0 02 May 2022