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2102.04877
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Noisy Recurrent Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
9 February 2021
Soon Hoe Lim
N. Benjamin Erichson
Liam Hodgkinson
Michael W. Mahoney
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Papers citing
"Noisy Recurrent Neural Networks"
36 / 36 papers shown
Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks
Taisuke Kobayashi
Shingo Murata
247
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0
02 Jun 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Xiuwen Fang
Mang Ye
Di Lin
FedML
509
8
0
12 Mar 2025
Towards Unraveling and Improving Generalization in World Models
Qiaoyi Fang
Weiyu Du
Hang Wang
Junshan Zhang
OOD
301
1
0
03 Jan 2025
Towards Robust Transcription: Exploring Noise Injection Strategies for Training Data Augmentation
Yonghyun Kim
Alexander Lerch
270
1
0
18 Oct 2024
WaveCastNet: Rapid Wavefield Forecasting for Earthquake Early Warning via Deep Sequence to Sequence Learning
Dongwei Lyu
R. Nakata
Pu Ren
Michael W. Mahoney
A. Pitarka
Nori Nakata
N. Benjamin Erichson
382
2
0
30 May 2024
MeMo: Meaningful, Modular Controllers via Noise Injection
Megan Tjandrasuwita
Jie Xu
Armando Solar-Lezama
Wojciech Matusik
370
1
0
24 May 2024
Strong anti-Hebbian plasticity alters the convexity of network attractor landscapes
Lulu Gong
Xudong Chen
ShiNung Ching
134
1
0
22 Dec 2023
The Benefit of Noise-Injection for Dynamic Gray-Box Model Creation
Advanced Engineering Informatics (Adv. Eng. Inform.), 2023
Mohamed Kandil
J. McArthur
188
3
0
02 Oct 2023
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Thi Kieu Khanh Ho
Narges Armanfard
AI4TS
541
1
0
24 Aug 2023
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting
Neurocomputing (Neurocomputing), 2023
Christopher Salazar
A. Banerjee
AI4TS
325
13
0
28 Jul 2023
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Ran Dou
José C. Príncipe
249
2
0
28 Jul 2023
Learning Stochastic Dynamical Systems as an Implicit Regularization with Graph Neural Networks
Jinqiu Guo
Ting Gao
Yufu Lan
Peng Zhang
Sikun Yang
Jinqiao Duan
208
0
0
12 Jul 2023
On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
Neural Information Processing Systems (NeurIPS), 2023
A. F. Pour
H. Ashtiani
248
0
0
28 May 2023
Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks
Gehua (Marcus) Ma
Rui Yan
Huajin Tang
558
37
0
25 May 2023
Generalization bounds for neural ordinary differential equations and deep residual networks
Neural Information Processing Systems (NeurIPS), 2023
Pierre Marion
281
28
0
11 May 2023
SDYN-GANs: Adversarial Learning Methods for Multistep Generative Models for General Order Stochastic Dynamics
Journal of Computational Physics (JCP), 2023
P. Stinis
C. Daskalakis
P. Atzberger
SyDa
GAN
273
9
0
07 Feb 2023
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
N. Benjamin Erichson
Soon Hoe Lim
Michael W. Mahoney
354
8
0
01 Dec 2022
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization
Alexander Wikner
Joseph Harvey
M. Girvan
Brian R. Hunt
Andrew Pomerance
Thomas Antonsen
Edward Ott
319
7
0
09 Nov 2022
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
International Conference on Learning Representations (ICLR), 2022
Edo Cohen-Karlik
Itamar Menuhin-Gruman
Raja Giryes
Nadav Cohen
Amir Globerson
439
7
0
25 Oct 2022
Neural Generalized Ordinary Differential Equations with Layer-varying Parameters
Journal of Data Science (JDS), 2022
Duo Yu
Hongyu Miao
Hulin Wu
236
5
0
21 Sep 2022
p-Adic Statistical Field Theory and Deep Belief Networks
Social Science Research Network (SSRN), 2022
W. A. Zúñiga-Galindo
AI4CE
490
12
0
28 Jul 2022
Benefits of Additive Noise in Composing Classes with Bounded Capacity
Neural Information Processing Systems (NeurIPS), 2022
A. F. Pour
H. Ashtiani
315
5
0
14 Jun 2022
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training
IEEE International Joint Conference on Neural Network (IJCNN), 2022
A. Paul
Stefan Sylvius Wagner
Anup Das
339
10
0
26 May 2022
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent
Neural Information Processing Systems (NeurIPS), 2022
Soon Hoe Lim
Yijun Wan
Umut cSimcsekli
305
14
0
23 May 2022
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge
Nicholas J. Teague
AAML
253
1
0
18 Feb 2022
Learning continuous models for continuous physics
Communications Physics (Commun. Phys.), 2022
Aditi S. Krishnapriyan
A. Queiruga
N. Benjamin Erichson
Michael W. Mahoney
AI4CE
419
39
0
17 Feb 2022
NoisyMix: Boosting Model Robustness to Common Corruptions
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
N. Benjamin Erichson
Soon Hoe Lim
Winnie Xu
Francisco Utrera
Ziang Cao
Michael W. Mahoney
380
27
0
02 Feb 2022
Social Neuro AI: Social Interaction as the "dark matter" of AI
Samuele Bolotta
G. Dumas
494
29
0
31 Dec 2021
Cluster-and-Conquer: A Framework For Time-Series Forecasting
Reese Pathak
Rajat Sen
Nikhil S. Rao
N. Benjamin Erichson
Sai Li
Inderjit S. Dhillon
AI4TS
203
2
0
26 Oct 2021
Long Expressive Memory for Sequence Modeling
International Conference on Learning Representations (ICLR), 2021
T. Konstantin Rusch
Siddhartha Mishra
N. Benjamin Erichson
Michael W. Mahoney
AI4TS
524
57
0
10 Oct 2021
Noisy Feature Mixup
Soon Hoe Lim
N. Benjamin Erichson
Francisco Utrera
Winnie Xu
Michael W. Mahoney
AAML
478
43
0
05 Oct 2021
The edge of chaos: quantum field theory and deep neural networks
SciPost Physics (SciPost Phys.), 2021
Kevin T. Grosvenor
R. Jefferson
275
31
0
27 Sep 2021
Stateful ODE-Nets using Basis Function Expansions
Neural Information Processing Systems (NeurIPS), 2021
A. Queiruga
N. Benjamin Erichson
Liam Hodgkinson
Michael W. Mahoney
333
18
0
21 Jun 2021
A Differential Geometry Perspective on Orthogonal Recurrent Models
Omri Azencot
N. Benjamin Erichson
M. Ben-Chen
Michael W. Mahoney
AI4CE
382
5
0
18 Feb 2021
Forecasting Sequential Data using Consistent Koopman Autoencoders
International Conference on Machine Learning (ICML), 2020
Omri Azencot
N. Benjamin Erichson
Vanessa Lin
Michael W. Mahoney
AI4TS
AI4CE
615
200
0
04 Mar 2020
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
Charles H. Martin
Michael W. Mahoney
AI4CE
570
265
0
02 Oct 2018
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