Juan-Pablo Ortega

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 37

Top Topics

Recurrent Networks

Echo State Networks

Reservoir Computing

Information Processing

Top Venues

Neural Networks

IEEE Trans. Neural Networks Learn. Syst.

Publications

Juan-Pablo Ortega, Florian Rossmannek
State-Space Systems as Dynamic Generative Models. CoRR (2024)
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
Infinite-dimensional reservoir computing. Neural Networks 179 (2024)
Jianyu Hu, Juan-Pablo Ortega, Daiying Yin
A Structure-Preserving Kernel Method for Learning Hamiltonian Systems. CoRR (2024)
Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
Geometric Learning with Positively Decomposable Kernels. CoRR (2023)
Marcel Hirt, Domenico Campolo, Victoria Leong, Juan-Pablo Ortega
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds. CoRR (2023)
Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega
The Gaussian Kernel on the Circle and Spaces that Admit Isometric Embeddings of the Circle. GSI (1) (2023)
Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega
The Gaussian kernel on the circle and spaces that admit isometric embeddings of the circle. CoRR (2023)
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
Infinite-dimensional reservoir computing. CoRR (2023)
Vishal Ramanathan, Mohammad Zaidi Ariffin, Guo Dong Goh, Guo Liang Goh, Mohammad Adhimas Rikat, Xing Xi Tan, Wai Yee Yeong, Juan-Pablo Ortega, Victoria Leong, Domenico Campolo
The Design and Development of Instrumented Toys for the Assessment of Infant Cognitive Flexibility. Sensors 23 (5) (2023)
Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega
Memory of recurrent networks: Do we compute it right? CoRR (2023)
Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach. CoRR (2023)
Christa Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega, Josef Teichmann
Discrete-Time Signatures and Randomness in Reservoir Computing. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Gouhei Tanaka, Claudio Gallicchio, Alessio Micheli, Juan-Pablo Ortega, Akira Hirose
Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
G. Manjunath, Juan-Pablo Ortega
Transport in reservoir computing. CoRR (2022)
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
Reservoir kernels and Volterra series. CoRR (2022)
Lyudmila Grigoryeva, Allen Hart, Juan-Pablo Ortega
Learning strange attractors with reservoir systems. CoRR (2021)
Lukas Gonon, Juan-Pablo Ortega
Fading memory echo state networks are universal. Neural Networks 138 (2021)
Juan-Pablo Ortega, Daiying Yin
Expressiveness and Structure Preservation in Learning Port-Hamiltonian Systems. GSI (2) (2021)
Christa Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega, Josef Teichmann
Discrete-time signatures and randomness in reservoir computing. CoRR (2020)
Lyudmila Grigoryeva, Juan-Pablo Ortega
Dimension reduction in recurrent networks by canonicalization. CoRR (2020)
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
Approximation Bounds for Random Neural Networks and Reservoir Systems. CoRR (2020)
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
Memory and forecasting capacities of nonlinear recurrent networks. CoRR (2020)
Lukas Gonon, Juan-Pablo Ortega
Reservoir Computing Universality With Stochastic Inputs. IEEE Trans. Neural Networks Learn. Syst. 31 (1) (2020)
Lukas Gonon, Juan-Pablo Ortega
Fading memory echo state networks are universal. CoRR (2020)
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
Risk bounds for reservoir computing. CoRR (2019)
Alexandru Badescu, Zhenyu Cui, Juan-Pablo Ortega
Closed-form variance swap prices under general affine GARCH models and their continuous-time limits. Ann. Oper. Res. 282 (1-2) (2019)
Lyudmila Grigoryeva, Juan-Pablo Ortega
Differentiable reservoir computing. J. Mach. Learn. Res. 20 (2019)
Lyudmila Grigoryeva, Juan-Pablo Ortega
Differentiable reservoir computing. CoRR (2019)
Lyudmila Grigoryeva, Juan-Pablo Ortega
Echo state networks are universal. Neural Networks 108 (2018)
Lyudmila Grigoryeva, Juan-Pablo Ortega
Echo state networks are universal. CoRR (2018)
Lukas Gonon, Juan-Pablo Ortega
Reservoir Computing Universality With Stochastic Inputs. CoRR (2018)
Lyudmila Grigoryeva, Juan-Pablo Ortega
Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems. J. Mach. Learn. Res. 19 (2018)
Lyudmila Grigoryeva, Juan-Pablo Ortega
Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems. CoRR (2017)
Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals. Neural Comput. 28 (7) (2016)
Luc Bauwens, Lyudmila Grigoryeva, Juan-Pablo Ortega
Estimation and empirical performance of non-scalar dynamic conditional correlation models. Comput. Stat. Data Anal. 100 (2016)
Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
Time-Delay Reservoir Computers and High-Speed Information Processing Capacity. CSE/EUC/DCABES (2016)
Lyudmila Grigoryeva, Julie Henriques, Juan-Pablo Ortega
Reservoir Computing: Information Processing of Stationary Signals. CSE/EUC/DCABES (2016)
Alexandru Badescu, Robert J. Elliott, Juan-Pablo Ortega
Non-Gaussian GARCH option pricing models and their diffusion limits. Eur. J. Oper. Res. 247 (3) (2015)
Lyudmila Grigoryeva, Julie Henriques, Juan-Pablo Ortega
Forecasting, filtering, and reconstruction of stochastic stationary signals using discrete-time reservoir computers. CoRR (2015)
Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
Nonlinear memory capacity of parallel time-delay reservoir computers in the processing of multidimensional signals. CoRR (2015)
Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality. Neural Networks 55 (2014)
Stéphane Chrétien, Juan-Pablo Ortega
Multivariate GARCH estimation via a Bregman-proximal trust-region method. Comput. Stat. Data Anal. 76 (2014)
Pascal Chossat, Debra Lewis, Juan-Pablo Ortega, Tudor S. Ratiu
Bifurcation of relative equilibria in mechanical systems with symmetry. Adv. Appl. Math. 31 (1) (2003)