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Long Expressive Memory for Sequence Modeling

Long Expressive Memory for Sequence Modeling

10 October 2021
T. Konstantin Rusch
Siddhartha Mishra
N. Benjamin Erichson
Michael W. Mahoney
    AI4TS
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Papers citing "Long Expressive Memory for Sequence Modeling"

12 / 12 papers shown
Title
A Deep State Space Model for Rainfall-Runoff Simulations
Yihan Wang
Lujun Zhang
Annan Yu
N. Benjamin Erichson
Tiantian Yang
51
1
0
28 Jan 2025
S7: Selective and Simplified State Space Layers for Sequence Modeling
S7: Selective and Simplified State Space Layers for Sequence Modeling
Taylan Soydan
Nikola Zubić
Nico Messikommer
Siddhartha Mishra
Davide Scaramuzza
35
4
0
04 Oct 2024
Inferring stochastic low-rank recurrent neural networks from neural data
Inferring stochastic low-rank recurrent neural networks from neural data
Matthijs Pals
A Erdem Sağtekin
Felix Pei
Manuel Gloeckler
Jakob H Macke
38
6
0
24 Jun 2024
Trainability, Expressivity and Interpretability in Gated Neural ODEs
Trainability, Expressivity and Interpretability in Gated Neural ODEs
T. Kim
T. Can
K. Krishnamurthy
AI4CE
35
4
0
12 Jul 2023
Multi-Scale Message Passing Neural PDE Solvers
Multi-Scale Message Passing Neural PDE Solvers
Léonard Equer
T. Konstantin Rusch
Siddhartha Mishra
AI4CE
29
12
0
07 Feb 2023
Flipped Classroom: Effective Teaching for Time Series Forecasting
Flipped Classroom: Effective Teaching for Time Series Forecasting
P. Teutsch
Patrick Mäder
AI4TS
21
8
0
17 Oct 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution
  Shifts
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts
Rui Wang
Yihe Dong
Sercan Ö. Arik
Rose Yu
AI4TS
31
22
0
07 Oct 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
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
Neural Differential Equations for Learning to Program Neural Nets
  Through Continuous Learning Rules
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
Kazuki Irie
Francesco Faccio
Jürgen Schmidhuber
AI4TS
33
11
0
03 Jun 2022
Realization Theory Of Recurrent Neural ODEs Using Polynomial System
  Embeddings
Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings
Martin Gonzalez
Thibault Defourneau
H. Hajri
M. Petreczky
31
2
0
24 May 2022
Learning continuous models for continuous physics
Learning continuous models for continuous physics
Aditi S. Krishnapriyan
A. Queiruga
N. Benjamin Erichson
Michael W. Mahoney
AI4CE
24
33
0
17 Feb 2022
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
146
219
0
29 Sep 2019
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