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Stable Recurrent Models

Stable Recurrent Models

25 May 2018
John Miller
Moritz Hardt
ArXivPDFHTML

Papers citing "Stable Recurrent Models"

25 / 25 papers shown
Title
Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware
Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware
Madison Cotteret
Hugh Greatorex
Alpha Renner
Junren Chen
Emre Neftci
Huaqiang Wu
Giacomo Indiveri
Martin Ziegler
Elisabetta Chicca
43
2
0
02 May 2024
Learning Hybrid Dynamics Models With Simulator-Informed Latent States
Learning Hybrid Dynamics Models With Simulator-Informed Latent States
K. Ensinger
Sebastian Ziesche
Sebastian Trimpe
37
1
0
06 Sep 2023
Fading memory as inductive bias in residual recurrent networks
Fading memory as inductive bias in residual recurrent networks
I. Dubinin
Felix Effenberger
43
4
0
27 Jul 2023
RWKV: Reinventing RNNs for the Transformer Era
RWKV: Reinventing RNNs for the Transformer Era
Bo Peng
Eric Alcaide
Quentin G. Anthony
Alon Albalak
Samuel Arcadinho
...
Qihang Zhao
P. Zhou
Qinghua Zhou
Jian Zhu
Rui-Jie Zhu
90
562
0
22 May 2023
Learning Over Contracting and Lipschitz Closed-Loops for
  Partially-Observed Nonlinear Systems (Extended Version)
Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems (Extended Version)
Nicholas H. Barbara
Ruigang Wang
I. Manchester
16
3
0
12 Apr 2023
Homotopy-based training of NeuralODEs for accurate dynamics discovery
Homotopy-based training of NeuralODEs for accurate dynamics discovery
Joon-Hyuk Ko
Hankyul Koh
Nojun Park
W. Jhe
46
9
0
04 Oct 2022
A Closer Look at Learned Optimization: Stability, Robustness, and
  Inductive Biases
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases
James Harrison
Luke Metz
Jascha Narain Sohl-Dickstein
47
22
0
22 Sep 2022
Robustness Analysis of Classification Using Recurrent Neural Networks
  with Perturbed Sequential Input
Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input
Guangyi Liu
Arash A. Amini
Martin Takáč
N. Motee
26
4
0
10 Mar 2022
Stable Long-Term Recurrent Video Super-Resolution
Stable Long-Term Recurrent Video Super-Resolution
Benjamin Naoto Chiche
Arnaud Woiselle
J. Frontera-Pons
Jean-Luc Starck
SupR
30
6
0
16 Dec 2021
DeepDiagnosis: Automatically Diagnosing Faults and Recommending
  Actionable Fixes in Deep Learning Programs
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs
Mohammad Wardat
Breno Dantas Cruz
Wei Le
Hridesh Rajan
24
52
0
07 Dec 2021
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent
  Neural Networks
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
Almost Surely Stable Deep Dynamics
Almost Surely Stable Deep Dynamics
Nathan P. Lawrence
Philip D. Loewen
M. Forbes
Johan U. Backstrom
R. Bhushan Gopaluni
BDL
40
20
0
26 Mar 2021
Active Deep Learning on Entity Resolution by Risk Sampling
Active Deep Learning on Entity Resolution by Risk Sampling
Youcef Nafa
Qun Chen
Zhaoqiang Chen
Xingyu Lu
Haiyang He
Tianyi Duan
Zhanhuai Li
10
16
0
23 Dec 2020
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
38
87
0
22 Oct 2020
Modeling Electrical Motor Dynamics using Encoder-Decoder with Recurrent
  Skip Connection
Modeling Electrical Motor Dynamics using Encoder-Decoder with Recurrent Skip Connection
Sagar Verma
Nicolas Henwood
M. Castella
F. Malrait
J. Pesquet
AI4CE
11
12
0
08 Oct 2020
Concurrent Neural Network : A model of competition between times series
Concurrent Neural Network : A model of competition between times series
Rémy Garnier
16
5
0
30 Sep 2020
On the Iteration Complexity of Hypergradient Computation
On the Iteration Complexity of Hypergradient Computation
Riccardo Grazzi
Luca Franceschi
Massimiliano Pontil
Saverio Salzo
48
193
0
29 Jun 2020
Lipschitz Recurrent Neural Networks
Lipschitz Recurrent Neural Networks
N. Benjamin Erichson
Omri Azencot
A. Queiruga
Liam Hodgkinson
Michael W. Mahoney
30
107
0
22 Jun 2020
Stable and expressive recurrent vision models
Stable and expressive recurrent vision models
Drew Linsley
A. Ashok
L. Govindarajan
Rex G Liu
Thomas Serre
19
45
0
22 May 2020
Multi-Source Deep Domain Adaptation with Weak Supervision for
  Time-Series Sensor Data
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data
Garrett Wilson
J. Doppa
D. Cook
TTA
AI4TS
AI4CE
19
144
0
22 May 2020
Temporal Information Processing on Noisy Quantum Computers
Temporal Information Processing on Noisy Quantum Computers
Jiayin Chen
H. Nurdin
N. Yamamoto
13
86
0
26 Jan 2020
Contracting Implicit Recurrent Neural Networks: Stable Models with
  Improved Trainability
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability
Max Revay
I. Manchester
14
43
0
22 Dec 2019
Predicting 3D Human Dynamics from Video
Predicting 3D Human Dynamics from Video
Jason Y. Zhang
Panna Felsen
Angjoo Kanazawa
Jitendra Malik
3DH
24
110
0
13 Aug 2019
Adaptively Truncating Backpropagation Through Time to Control Gradient
  Bias
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias
Christopher Aicher
N. Foti
E. Fox
MQ
24
32
0
17 May 2019
A Statistical Investigation of Long Memory in Language and Music
A Statistical Investigation of Long Memory in Language and Music
Alexander Greaves-Tunnell
Zaïd Harchaoui
AI4TS
27
24
0
08 Apr 2019
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