UnICORNN: A recurrent model for learning very long time dependencies

9 March 2021

Papers citing "UnICORNN: A recurrent model for learning very long time dependencies"

20 / 20 papers shown

Title
DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Khashayar Ghanizadegan Hashim A. Hashim 61 0 0 13 Mar 2025
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 71 4 0 17 Feb 2025
HadamRNN: Binary and Sparse Ternary Orthogonal RNNs Armand Foucault Franck Mamalet François Malgouyres MQ 74 0 0 28 Jan 2025
Oscillatory State-Space Models T. Konstantin Rusch Daniela Rus AI4TS 133 5 0 04 Oct 2024
Tuning Frequency Bias of State Space Models Annan Yu Dongwei Lyu S. H. Lim Michael W. Mahoney N. Benjamin Erichson 42 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
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks Zihao Wang Zhen Wu 18 3 0 15 Jan 2024
Delving Deeper Into Astromorphic Transformers Md. Zesun Ahmed Mia Malyaban Bal Abhronil Sengupta 34 1 0 18 Dec 2023
Trainability, Expressivity and Interpretability in Gated Neural ODEs T. Kim T. Can K. Krishnamurthy AI4CE 35 4 0 12 Jul 2023
Approximation of nearly-periodic symplectic maps via structure-preserving neural networks Valentin Duruisseaux J. Burby Q. Tang 30 11 0 11 Oct 2022
Dynamical systems' based neural networks E. Celledoni Davide Murari B. Owren Carola-Bibiane Schönlieb Ferdia Sherry OOD 40 10 0 05 Oct 2022
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 101 95 0 26 Sep 2022
Sequence Learning Using Equilibrium Propagation Malyaban Bal Abhronil Sengupta 32 9 0 14 Sep 2022
On the Parameterization and Initialization of Diagonal State Space Models Albert Gu Ankit Gupta Karan Goel Christopher Ré 14 297 0 23 Jun 2022
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules Kazuki Irie Francesco Faccio Jürgen Schmidhuber AI4TS 30 11 0 03 Jun 2022
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 31 102 0 04 Feb 2022
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 37 1,654 0 31 Oct 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn J. C. V. Gemert 80 82 0 15 Oct 2021
Stateful ODE-Nets using Basis Function Expansions A. Queiruga N. Benjamin Erichson Liam Hodgkinson Michael W. Mahoney 27 16 0 21 Jun 2021
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 146 219 0 29 Sep 2019