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Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics
Neural Networks (NN), 2021
9 February 2021
A. Racca
Luca Magri
OOD
AAML
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Papers citing
"Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics"
23 / 23 papers shown
Online model learning with data-assimilated reservoir computers
Andrea Nóvoa
Luca Magri
313
2
0
01 Jul 2025
Data-assimilated model-informed reinforcement learning
D. E. Ozan
Andrea Nóvoa
Georgios Rigas
Luca Magri
AI4CE
413
2
0
02 Jun 2025
Attractor learning for spatiotemporally chaotic dynamical systems using echo state networks with transfer learning
Mohammad Shah Alam
William Ott
Ilya Timofeyev
238
0
0
30 May 2025
Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems
Anton Erofeev
Balasubramanya T. Nadiga
Ilya Timofeyev
201
0
0
22 May 2025
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows
International Conference on Conceptual Structures (ICCS), 2025
D. E. Ozan
Andrea Nóvoa
Luca Magri
AI4CE
223
4
0
23 Apr 2025
When are dynamical systems learned from time series data statistically accurate?
Neural Information Processing Systems (NeurIPS), 2024
Jeongjin Park
Nicole Yang
Nisha Chandramoorthy
AI4TS
365
11
0
09 Nov 2024
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach
ACM Computing Surveys (ACM CSUR), 2024
Firas Bayram
Bestoun S. Ahmed
OOD
253
27
0
28 Oct 2024
Inferring stability properties of chaotic systems on autoencoders' latent spaces
Elise Özalp
Luca Magri
238
1
0
23 Oct 2024
Stability analysis of chaotic systems in latent spaces
Nonlinear dynamics (Nonlinear Dyn.), 2024
Elise Özalp
Luca Magri
364
13
0
01 Oct 2024
Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics
Osama Ahmed
Felix Tennie
Luca Magri
187
16
0
02 Sep 2024
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features
Oliver R. A. Dunbar
Nicholas H. Nelsen
Maya Mutic
776
15
0
30 Jun 2024
Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach
D. E. Ozan
Luca Magri
193
1
0
18 Apr 2024
Chaotic attractor reconstruction using small reservoirs -- the influence of topology
Lina Jaurigue
AI4TS
228
22
0
23 Feb 2024
Control-aware echo state networks (Ca-ESN) for the suppression of extreme events
A. Racca
Luca Magri
198
3
0
06 Aug 2023
Variability of echo state network prediction horizon for partially observed dynamical systems
Physical Review E (PRE), 2023
Ajit Mahata
Reetish Padhi
A. Apte
358
2
0
19 Jun 2023
Reconstruction, forecasting, and stability of chaotic dynamics from partial data
Chaos (Chaos), 2023
Elise Özalp
G. Margazoglou
Luca Magri
AI4TS
412
20
0
24 May 2023
Physics-aware deep learning framework for linear elasticity
Anisha Roy
Rikhi Bose
AI4CE
365
9
0
19 Feb 2023
Modelling spatiotemporal turbulent dynamics with the convolutional autoencoder echo state network
A. Racca
N. Doan
Luca Magri
205
4
0
21 Nov 2022
Survey on Deep Fuzzy Systems in regression applications: a view on interpretability
International Journal of Fuzzy Systems (IJFS), 2022
Jorge S. S. Júnior
Jérôme Mendes
F. Souza
C. Premebida
AI4CE
295
21
0
09 Sep 2022
Using Connectome Features to Constrain Echo State Networks
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Jacob Morra
M. Daley
294
6
0
05 Jun 2022
Data-driven prediction and control of extreme events in a chaotic flow
Physical Review Fluids (PRFluids), 2022
A. Racca
Luca Magri
218
24
0
25 Apr 2022
Statistical prediction of extreme events from small datasets
International Conference on Conceptual Structures (ICCS), 2022
A. Racca
Luca Magri
289
4
0
20 Jan 2022
Gradient-free optimization of chaotic acoustics with reservoir computing
Physical Review Fluids (Phys. Rev. Fluids), 2021
Francisco Huhn
Luca Magri
226
22
0
17 Jun 2021
1
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