- Google Scholar
- ResearchGate
- arXiv
- En détachement du Centre National de la Recherche Scientifique (CNRS)
- Miembro extranjero de la Real Academia de las Ciencias de España
Machine Learning and Dynamical Systems
Special Interest Group
The Alan Turing Institute
Youtube Channel
1st School in Machine Learning of
Dynamic Processes and
Time Series Analysis
Scuola Normale Superiore, Pisa
November 26-27, 2020
IEEE Transactions on Neural Networks
and Learning Systems (TNNLS)
Special Issue on
“New Frontiers in Extremely Efficient
Reservoir Computing”
Deadline for manuscript submission
September 15th, 2020
Nachdiplom Lectures
Machine Learning of Dynamic Processes with
Applications to Forecasting
FIM-Institute for Mathematical Research
ETH Zürich
September-December, 2019
Poster
V Workshop on Dynamical systems
and brain-inspired information processing.
July 29-31, 2019
Universität Konstanz.
Coorganized with Lukas Gonon, Lyudmila Grigoryeva,
Oleksandra Kukharenko, and Josef Teichmann.
Workshop poster. Keynote talk poster. Program.
IV Workshop on Dynamical systems
and brain-inspired information processing.
October 5-6, 2017
Universität Konstanz.
Coorganized with Lyudmila Grigoryeva,
Herbert Jaeger, and Laurent Larger. Poster.
Semester program at the Bernoulli Institute
Ecole Polytechnique Fédérale de Lausanne
“Stochastic Dynamical Models in Mathematical Finance,
Econometrics, and Actuarial Sciences”.
January, 1st-June, 30th 2017
Coorganized with Luc Bauwens and Yuri Kabanov.
II Workshop on Dynamical systems
and brain-inspired information processing
November 2-3, 2015.
Université de Franche-Comté.
Coorganized with Lyudmila Grigoryeva
and Laurent Larger.
The paper “Stochastic nonlinear time series
forecasting using time-delay reservoir computers:
performance and universality” included in the ACM
“Best of Computing” 2014 list of Computing Reviews.
List. Paper. Poster.
Juan-Pablo Ortega 