Lipschitz Bounded Equilibrium Networks

5 October 2020

Papers citing "Lipschitz Bounded Equilibrium Networks"

41 / 41 papers shown

Title
Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses Yurui Zhang Ruigang Wang I. Manchester 65 0 0 05 May 2025
Improved Scalable Lipschitz Bounds for Deep Neural Networks U. Syed Bin Hu BDL 97 0 0 18 Mar 2025
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing Weizhi Gao Zhichao Hou Han Xu Xiaorui Liu AAML 70 0 0 01 Nov 2024
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers Patricia Pauli Ruigang Wang I. Manchester Frank Allgöwer 78 2 0 29 Oct 2024
Safe Bubble Cover for Motion Planning on Distance Fields Ki Myung Brian Lee Zhirui Dai Cedric Le Gentil Lan Wu Nikolay Atanasov Teresa Vidal-Calleja 105 4 0 23 Aug 2024
A Complete Set of Quadratic Constraints for Repeated ReLU and Generalizations Sahel Vahedi Noori Bin Hu Geir Dullerud Peter M. Seiler 101 0 0 09 Jul 2024
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks Nicholas H. Barbara Ruigang Wang I. Manchester 112 4 0 19 May 2024
Lipschitz constant estimation for general neural network architectures using control tools Patricia Pauli Dennis Gramlich Frank Allgöwer 96 4 0 02 May 2024
State space representations of the Roesser type for convolutional layers Patricia Pauli Dennis Gramlich Frank Allgöwer 85 3 0 18 Mar 2024
Positive concave deep equilibrium models Mateusz Gabor Tomasz Piotrowski Renato L. G. Cavalcante 103 2 0 06 Feb 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks Ruigang Wang Krishnamurthy Dvijotham I. Manchester 112 5 0 02 Feb 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations Patricia Pauli Aaron J. Havens Alexandre Araujo Siddharth Garg Farshad Khorrami Frank Allgöwer Bin Hu 119 4 0 25 Jan 2024
One-Step Diffusion Distillation via Deep Equilibrium Models Zhengyang Geng Ashwini Pokle Trevor Killeen 75 33 0 12 Dec 2023
Deep Equilibrium Based Neural Operators for Steady-State PDEs Tanya Marwah Ashwini Pokle J. Zico Kolter Zachary Chase Lipton Jianfeng Lu Andrej Risteski 88 8 0 30 Nov 2023
TorchDEQ: A Library for Deep Equilibrium Models Zhengyang Geng J. Zico Kolter VLM 155 12 0 28 Oct 2023
Monotone deep Boltzmann machines Zhili Feng Ezra Winston J. Zico Kolter 59 1 0 11 Jul 2023
Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics Zonghan Yang Peng Li Tianyu Pang Yang Liu AAML 73 3 0 02 Jun 2023
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models Zonghan Yang Tianyu Pang Yang Liu AAML 67 14 0 02 Jun 2023
Learning Stable and Robust Linear Parameter-Varying State-Space Models C. Verhoek Ruigang Wang R. Tóth 58 4 0 04 Apr 2023
Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models P. Micaelli Arash Vahdat Hongxu Yin Jan Kautz Pavlo Molchanov 95 17 0 02 Apr 2023
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian Patricia Pauli Ruigang Wang I. Manchester Frank Allgöwer 71 8 0 20 Mar 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks Alexandre Araujo Aaron J. Havens Blaise Delattre A. Allauzen Bin Hu AAML 78 56 0 06 Mar 2023
Convolutional Neural Networks as 2-D systems Dennis Gramlich Patricia Pauli C. Scherer Frank Allgöwer C. Ebenbauer 3DV 54 8 0 06 Mar 2023
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks Grigory Khromov Sidak Pal Singh 155 8 0 21 Feb 2023
Direct Parameterization of Lipschitz-Bounded Deep Networks Ruigang Wang I. Manchester 129 47 0 27 Jan 2023
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation Cem Anil Ashwini Pokle Kaiqu Liang Johannes Treutlein Yuhuai Wu Shaojie Bai Zico Kolter Roger C. Grosse 60 17 0 18 Nov 2022
Deep equilibrium models as estimators for continuous latent variables Russell Tsuchida Cheng Soon Ong 54 8 0 11 Nov 2022
Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach Saber Jafarpour A. Davydov Matthew Abate Francesco Bullo Samuel Coogan 62 1 0 08 Aug 2022
Deep equilibrium networks are sensitive to initialization statistics Atish Agarwala S. Schoenholz 93 7 0 19 Jul 2022
Global Convergence of Over-parameterized Deep Equilibrium Models Zenan Ling Xingyu Xie Qiuhao Wang Zongpeng Zhang Zhouchen Lin 97 12 0 27 May 2022
Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks A. Davydov Saber Jafarpour Matthew Abate Francesco Bullo Samuel Coogan 34 3 0 01 Apr 2022
Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach Saber Jafarpour Matthew Abate A. Davydov Francesco Bullo Samuel Coogan AAML 66 8 0 10 Dec 2021
Joint inference and input optimization in equilibrium networks Swaminathan Gurumurthy Shaojie Bai Zachary Manchester J. Zico Kolter 85 19 0 25 Nov 2021
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 125 72 0 09 Nov 2021
Abstract Interpretation of Fixpoint Iterators with Applications to Neural Networks Mark Niklas Muller Marc Fischer Robin Staab Martin Vechev 47 3 0 14 Oct 2021
Stabilizing Equilibrium Models by Jacobian Regularization Shaojie Bai V. Koltun J. Zico Kolter 86 59 0 28 Jun 2021
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks L. Kozachkov Michaela Ennis Jean-Jacques E. Slotine 57 20 0 16 Jun 2021
Robust Implicit Networks via Non-Euclidean Contractions Saber Jafarpour A. Davydov A. Proskurnikov Francesco Bullo 155 43 0 06 Jun 2021
Optimization Induced Equilibrium Networks Xingyu Xie Qiuhao Wang Zenan Ling Xia Li Yisen Wang Guangcan Liu Zhouchen Lin 75 9 0 27 May 2021
Recurrent Equilibrium Networks: Flexible Dynamic Models with Guaranteed Stability and Robustness Max Revay Ruigang Wang I. Manchester 77 61 0 13 Apr 2021
Offset-free setpoint tracking using neural network controllers Patricia Pauli Johannes Köhler J. Berberich Anne Koch Frank Allgöwer 69 21 0 23 Nov 2020