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Sandra Nestler
Sandra Nestler
Postdoc at Technion - Israel Institute of Technology
Verified email at campus.technion.ac.il - Homepage
Title
Cited by
Cited by
Year
Unfolding recurrence by Green’s functions for optimized reservoir computing
S Nestler, C Keup, D Dahmen, M Gilson, H Rauhut, M Helias
Advances in Neural Information Processing Systems 33, 17380-17390, 2020
52020
Learning interacting theories from data
C Merger, A René, K Fischer, P Bouss, S Nestler, D Dahmen, ...
Physical Review X 13 (4), 041033, 2023
32023
Path classification by stochastic linear recurrent neural networks
Y Boutaib, W Bartolomaeus, S Nestler, H Rauhut
Advances in continuous and discrete models 2022 (1), 13, 2022
22022
Statistical temporal pattern extraction by neuronal architecture
S Nestler, M Helias, M Gilson
Physical Review Research 5 (3), 033177, 2023
12023
Statistical physics, Bayesian inference and neural information processing
E Grant, S Nestler, B Şimşek, S Solla
arXiv preprint arXiv:2309.17006, 2023
2023
Neuronal architecture extracts statistical temporal patterns
S Nestler, M Helias, M Gilson
arXiv preprint arXiv:2301.10203, 2023
2023
Nonlinear dimensionality reduction with normalizing flows for analysis of electrophysiological recordings
P Bouss, S Nestler, CL Merger, K Fischer, M Helias, A Rene
32nd Annual Computational Neuroscience Meeting, 2023
2023
Neural networks learning structure in temporal signals
S Nestler, D Dahmen, M Gilson, Y Boutaib, W Bartolomaeus, C Keup, ...
Seminar Talk, Barak Lab, 2023
2023
Neuronal extraction of statistical patterns embedded in time series
S Nestler, M Helias, M Gilson
Cosyne 2023, 2023
2023
Path classification by stochastic linear recurrent neural networks
B Youness, B Wiebke, S Nestler, R Holger
Advances in Difference Equations 2022 (1), 2022
2022
Fluctuations, correlations, chaos: dynamics and computation in recurrent networks
M Helias, D Dahmen, S Nestler, A van Meegen, C Keup
MILA Seminar, 2021
2021
Joint Optimization Of Input And Output Projections In Reservoir Computing
S Nestler
RWTH Aachen University, 2019
2019
Optimized Reservoir Computing with Stochastic Recurrent Networks
S Nestler, D Dahmen, M Helias, C Keup
CNS 2019 Barcelona, 2019
2019
A statistical perspective on learning of time series in neural networks
S Nestler
Dissertation, RWTH Aachen University, 2024, 0
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