AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks

26 February 2019

Papers citing "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"

44 / 44 papers shown

Title
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks A. Mali Tommaso Salvatori Alexander Ororbia 37 0 0 07 Oct 2024
Tuning Frequency Bias of State Space Models Annan Yu Dongwei Lyu S. H. Lim Michael W. Mahoney N. Benjamin Erichson 47 3 0 02 Oct 2024
Unconditional stability of a recurrent neural circuit implementing divisive normalization Shivang Rawat David J. Heeger Stefano Martiniani 24 0 0 27 Sep 2024
Fading memory as inductive bias in residual recurrent networks I. Dubinin Felix Effenberger 43 4 0 27 Jul 2023
Neural Delay Differential Equations: System Reconstruction and Image Classification Qunxi Zhu Yao Guo Wei Lin 22 31 0 11 Apr 2023
Universal Approximation Property of Hamiltonian Deep Neural Networks M. Zakwan M. d’Angelo Giancarlo Ferrari-Trecate 36 5 0 21 Mar 2023
Convolutional unitary or orthogonal recurrent neural networks M. Magnasco 14 2 0 14 Feb 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series Yesom Park Jaemoo Choi Changyeon Yoon Changhoon Song Myung-joo Kang AI4TS AI4CE 27 3 0 02 Feb 2023
Flipped Classroom: Effective Teaching for Time Series Forecasting P. Teutsch Patrick Mäder AI4TS 23 8 0 17 Oct 2022
Dynamical systems' based neural networks E. Celledoni Davide Murari B. Owren Carola-Bibiane Schönlieb Ferdia Sherry OOD 43 12 0 05 Oct 2022
Homotopy-based training of NeuralODEs for accurate dynamics discovery Joon-Hyuk Ko Hankyul Koh Nojun Park W. Jhe 46 9 0 04 Oct 2022
Random orthogonal additive filters: a solution to the vanishing/exploding gradient of deep neural networks Andrea Ceni ODL 25 3 0 03 Oct 2022
Estimating a potential without the agony of the partition function E. Haber Moshe Eliasof L. Tenorio 33 2 0 19 Aug 2022
Stable Invariant Models via Koopman Spectra Takuya Konishi Yoshinobu Kawahara 23 3 0 15 Jul 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems Manuela Brenner Florian Hess Jonas M. Mikhaeil Leonard Bereska Zahra Monfared Po-Chen Kuo Daniel Durstewitz AI4CE 37 29 0 06 Jul 2022
Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue G. Tong Daniele E. Schiavazzi 35 3 0 05 Jul 2022
Scaling ResNets in the Large-depth Regime P. Marion Adeline Fermanian Gérard Biau Jean-Philippe Vert 26 16 0 14 Jun 2022
projUNN: efficient method for training deep networks with unitary matrices B. Kiani Randall Balestriero Yann LeCun S. Lloyd 43 32 0 10 Mar 2022
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences G. Moon E. Cyr 25 5 0 07 Mar 2022
Recency Dropout for Recurrent Recommender Systems Bo-Yu Chang Can Xu Matt Le Jingchen Feng Ya Le Sriraj Badam Ed H. Chi Minmin Chen 25 3 0 26 Jan 2022
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics Chunheng Jiang Tejaswini Pedapati Pin-Yu Chen Yizhou Sun Jianxi Gao 24 2 0 11 Jan 2022
Social Neuro AI: Social Interaction as the "dark matter" of AI Samuele Bolotta G. Dumas 21 22 0 31 Dec 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn Jan van Gemert 80 82 0 15 Oct 2021
Kinematically consistent recurrent neural networks for learning inverse problems in wave propagation Wrik Mallik R. Jaiman J. Jelovica AI4CE 25 3 0 08 Oct 2021
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing Bing Han Cheng Wang Kaushik Roy 34 7 0 14 Sep 2021
Neural Controlled Differential Equations for Online Prediction Tasks James Morrill Patrick Kidger Lingyi Yang Terry Lyons AI4TS 33 41 0 21 Jun 2021
Stateful ODE-Nets using Basis Function Expansions A. Queiruga N. Benjamin Erichson Liam Hodgkinson Michael W. Mahoney 27 16 0 21 Jun 2021
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks L. Kozachkov Michaela Ennis Jean-Jacques E. Slotine 22 18 0 16 Jun 2021
Efficient and Accurate Gradients for Neural SDEs Patrick Kidger James Foster Xuechen Li Terry Lyons DiffM 24 60 0 27 May 2021
A unified framework for Hamiltonian deep neural networks C. Galimberti Liang Xu Giancarlo Ferrari-Trecate 22 5 0 27 Apr 2021
Physics-Informed Neural State Space Models via Learning and Evolution Elliott Skomski Ján Drgoňa Aaron Tuor PINN AI4CE 27 9 0 26 Nov 2020
Dissipative Deep Neural Dynamical Systems Ján Drgoňa Soumya Vasisht Aaron Tuor D. Vrabie 21 7 0 26 Nov 2020
A non-autonomous equation discovery method for time signal classification Ryeongkyung Yoon Harish S. Bhat Braxton Osting 19 2 0 22 Nov 2020
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies T. Konstantin Rusch Siddhartha Mishra 21 89 0 02 Oct 2020
Bridging the Gap: Machine Learning to Resolve Improperly Modeled Dynamics Maan Qraitem D. Kularatne Eric Forgoston M. A. Hsieh AI4CE 28 10 0 23 Aug 2020
Lipschitz Recurrent Neural Networks N. Benjamin Erichson Omri Azencot A. Queiruga Liam Hodgkinson Michael W. Mahoney 30 107 0 22 Jun 2020
Applications of Koopman Mode Analysis to Neural Networks Iva Manojlovic M. Fonoberova Ryan Mohr Aleksandr Andrejcuk Z. Drmač Y. Kevrekidis Igor Mezić 19 18 0 21 Jun 2020
Stable Neural Flows Stefano Massaroli Michael Poli Michelangelo Bin Jinkyoo Park Atsushi Yamashita Hajime Asama 46 31 0 18 Mar 2020
Learning-Accelerated ADMM for Distributed Optimal Power Flow David J. Biagioni P. Graf Xinming Zhang Ahmed S. Zamzam K. Baker J. King 11 8 0 08 Nov 2019
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 152 220 0 29 Sep 2019
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability Shaowu Pan Karthik Duraisamy 23 136 0 09 Jun 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 45 290 0 29 May 2019
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network A. Sherstinsky 39 3,596 0 09 Aug 2018
Learning Unitary Operators with Help From u(n) Stephanie L. Hyland Gunnar Rätsch 97 41 0 17 Jul 2016