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
Differentiable Constrained Imitation Learning for Robot Motion Planning and Control Christopher P. Diehl Janis Adamek Martin Krüger F. Hoffmann Torsten Bertram 96 4 0 21 Oct 2022
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures Yatin Nandwani Rishabh Ranjan Mausam Parag Singla 55 7 0 17 Oct 2022
Improving Object-centric Learning with Query Optimization Baoxiong Jia Yu Liu Siyuan Huang OCL 99 52 0 17 Oct 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers Juncheng Liu Bryan Hooi Kenji Kawaguchi X. Xiao AI4CE 83 22 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 88 11 0 10 Oct 2022
Differentiable Mathematical Programming for Object-Centric Representation Learning Adeel Pervez Phillip Lippe E. Gavves OCL 100 5 0 05 Oct 2022
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 131 56 0 04 Oct 2022
Alternating Differentiation for Optimization Layers Haixiang Sun Ye Shi Jingya Wang H. Tuan H. Vincent Poor Dacheng Tao ODL 111 16 0 03 Oct 2022
The Curse of Unrolling: Rate of Differentiating Through Optimization Damien Scieur Quentin Bertrand Gauthier Gidel Fabian Pedregosa 102 13 0 27 Sep 2022
Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition D. Kim B. Song OT 90 11 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 58 5 0 22 Sep 2022
Differentiable Safe Controller Design through Control Barrier Functions Shuo Yang Shaoru Chen V. Preciado Rahul Mangharam 136 18 0 20 Sep 2022
DiffTune: Auto-Tuning through Auto-Differentiation Sheng Cheng Minkyung Kim Lin Song Chengyu Yang Zhuohuan Wu Shenlong Wang N. Hovakimyan 114 7 0 20 Sep 2022
MPC with Sensor-Based Online Cost Adaptation Avadesh Meduri Huaijiang Zhu Armand Jordana Ludovic Righetti 89 4 0 20 Sep 2022
Differentiable Bilevel Programming for Stackelberg Congestion Games Jiayang Li Jiahao Yu Qianni Wang Boyi Liu Zhaoran Wang Y. Nie 83 15 0 15 Sep 2022
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models Pasquale Minervini Luca Franceschi Mathias Niepert 103 11 0 11 Sep 2022
Differentiable Optimal Control via Differential Dynamic Programming Traiko Dinev Carlos Mastalli V. Ivan Steve Tonneau S. Vijayakumar 68 5 0 02 Sep 2022
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions Nikolaos Karalias Joshua Robinson Andreas Loukas Stefanie Jegelka 130 9 0 08 Aug 2022
Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach Saber Jafarpour A. Davydov Matthew Abate Francesco Bullo Samuel Coogan 69 1 0 08 Aug 2022
Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions Sheheryar Mehmood Peter Ochs 91 3 0 05 Aug 2022
Learning with Combinatorial Optimization Layers: a Probabilistic Approach Guillaume Dalle Léo Baty Louis Bouvier Axel Parmentier AI4CE 76 36 0 27 Jul 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 105 78 0 19 Jul 2022
Learning differentiable solvers for systems with hard constraints Geoffrey Negiar Michael W. Mahoney Aditi S. Krishnapriyan 106 32 0 18 Jul 2022
Relationship Design for Socially-Aware Behavior in Static Games Shenghui Chen Yigit E. Bayiz David Fridovich-Keil Ufuk Topcu 34 0 0 13 Jul 2022
Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control? Yaofeng Desmond Zhong Jiequn Han Georgia Olympia Brikis 109 20 0 08 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas Griffiths Sergey Levine OCL 155 61 0 02 Jul 2022
Differentiable Collision Detection for a Set of Convex Primitives K. Tracy Taylor A. Howell Zachary Manchester 134 46 0 01 Jul 2022
DiffPills: Differentiable Collision Detection for Capsules and Padded Polygons K. Tracy Taylor A. Howell Zachary Manchester 50 6 0 01 Jul 2022
Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization A. Wu Michelle Guo Chenxi Liu 122 31 0 01 Jul 2022
Learning Iterative Reasoning through Energy Minimization Yilun Du Shuang Li J. Tenenbaum Igor Mordatch PINN 96 25 0 30 Jun 2022
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming Bo Tang Elias Boutros Khalil 91 33 0 28 Jun 2022
Stability Verification of Neural Network Controllers using Mixed-Integer Programming Roland Schwan Colin N. Jones Daniel Kuhn 88 25 0 27 Jun 2022
Certifiable 3D Object Pose Estimation: Foundations, Learning Models, and Self-Training Rajat Talak Lisa Peng Luca Carlone 3DPC 79 8 0 22 Jun 2022
Neural Moving Horizon Estimation for Robust Flight Control Bingheng Wang Zhengtian Ma Shupeng Lai Lin Zhao 130 23 0 21 Jun 2022
An Invertible Graph Diffusion Neural Network for Source Localization Junxiang Wang Junji Jiang Liang Zhao DiffM 77 38 0 18 Jun 2022
Machines Explaining Linear Programs David Steinmann Matej Zečević Devendra Singh Dhami Kristian Kersting FAtt 26 0 0 14 Jun 2022
Distributionally Robust End-to-End Portfolio Construction Giorgio Costa G. Iyengar OOD 59 14 0 10 Jun 2022
Flexible Differentiable Optimization via Model Transformations Mathieu Besançon J. Garcia B. Legat Akshay Sharma 83 10 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 57 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 83 6 0 06 Jun 2022
Learning to Sequence and Blend Robot Skills via Differentiable Optimization Noémie Jaquier You Zhou J. Starke Tamim Asfour 77 7 0 01 Jun 2022
Backpropagation through Combinatorial Algorithms: Identity with Projection Works Subham S. Sahoo Anselm Paulus Marin Vlastelica Vít Musil Volodymyr Kuleshov Georg Martius 98 20 0 30 May 2022
Transformers from an Optimization Perspective Yongyi Yang Zengfeng Huang David Wipf 83 27 0 27 May 2022
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens Stefano Teso Laurens Bliek Andrea Borghesi M. Lombardi Neil Yorke-Smith Tias Guns Andrea Passerini 52 2 0 20 May 2022
Physics guided neural networks for modelling of non-linear dynamics Haakon Robinson Suraj Pawar Adil Rasheed Omer San PINN AI4TS AI4CE 84 51 0 13 May 2022
A Unified Framework for Implicit Sinkhorn Differentiation Marvin Eisenberger Aysim Toker Laura Leal-Taixé Florian Bernard Zorah Lähner AI4CE 100 24 0 13 May 2022
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation Nicolas Zucchet João Sacramento 104 16 0 06 May 2022
Second-Order Sensitivity Analysis for Bilevel Optimization Robert Dyro Edward Schmerling Nikos Arechiga Marco Pavone 52 3 0 04 May 2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations Maximilian Mueller Robin Greif Frank Jenko Nils Thuerey 76 3 0 02 May 2022
Learning Mixed Strategies in Trajectory Games Lasse Peters David Fridovich-Keil L. Ferranti C. Stachniss Javier Alonso-Mora F. Laine OffRL 73 8 0 30 Apr 2022