Juan-Pablo Ortega

60 papers Journal 54Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Global Structure-Preserving Kernel Method for the Learning of Poisson Systems. J. Nonlinear Sci. Jianyu Hu, Juan-Pablo Ortega, Daiying Yin
2025	—	`conf`	A Kernel-Based Global Method for the Learning of Elastic Potentials on Lie Groups. GSI (3) Domenico Campolo, Jianyu Hu, Juan-Pablo Ortega, Daiying Yin
2025	J	`jnl`	A global structure-preserving kernel method for the learning of Poisson systems. CoRR Jianyu Hu, Juan-Pablo Ortega, Daiying Yin
2025	J	`jnl`	A kernel method for the learning of Wasserstein geometric flows. CoRR Jianyu Hu, Juan-Pablo Ortega, Daiying Yin
2025	J	`jnl`	Echoes of the past: A unified perspective on fading memory and echo states. CoRR Juan-Pablo Ortega, Florian Rossmannek
2025	J	`jnl`	Fading Memory and the Convolution Theorem. IEEE Trans. Autom. Control. Juan-Pablo Ortega, Florian Rossmannek
2025	J	`jnl`	Feedback-driven recurrent quantum neural network universality. CoRR Lukas Gonon, Rodrigo Martínez-Peña, Juan-Pablo Ortega
2025	J	`jnl`	Invariant Kernels on Riemannian Symmetric Spaces: A Harmonic-Analytic Approach. SIAM J. Math. Data Sci. Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
2025	—	`conf`	Memory Capacity of Nonlinear Recurrent Networks: Is It Informative? GSI (3) Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega
2025	J	`jnl`	Memory Capacity of Nonlinear Recurrent Networks: Is it Informative? CoRR Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega
2025	J	`jnl`	Stochastic dynamics learning with state-space systems. CoRR Juan-Pablo Ortega, Florian Rossmannek
2024	J	`jnl`	A Structure-Preserving Kernel Method for Learning Hamiltonian Systems. CoRR Jianyu Hu, Juan-Pablo Ortega, Daiying Yin
2024	J	`jnl`	Fading memory and the convolution theorem. CoRR Juan-Pablo Ortega, Florian Rossmannek
2024	J	`jnl`	Geometric Learning with Positively Decomposable Kernels. J. Mach. Learn. Res. Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
2024	J	`jnl`	Infinite-dimensional next-generation reservoir computing. CoRR Lyudmila Grigoryeva, Hannah Lim Jing Ting, Juan-Pablo Ortega
2024	J	`jnl`	Infinite-dimensional reservoir computing. Neural Networks Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
2024	J	`jnl`	Learnability of Linear Port-Hamiltonian Systems. J. Mach. Learn. Res. Juan-Pablo Ortega, Daiying Yin
2024	J	`jnl`	Learning multi-modal generative models with permutation-invariant encoders and tighter variational objectives. Trans. Mach. Learn. Res. Marcel Hirt, Domenico Campolo, Victoria Leong, Juan-Pablo Ortega
2024	J	`jnl`	Memory of recurrent networks: Do we compute it right? J. Mach. Learn. Res. Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega
2024	J	`jnl`	State-Space Systems as Dynamic Generative Models. CoRR Juan-Pablo Ortega, Florian Rossmannek
2023	J	`jnl`	Geometric Learning with Positively Decomposable Kernels. CoRR Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
2023	J	`jnl`	Infinite-dimensional reservoir computing. CoRR Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
2023	J	`jnl`	Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach. CoRR Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
2023	J	`jnl`	Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds. CoRR Marcel Hirt, Domenico Campolo, Victoria Leong, Juan-Pablo Ortega
2023	J	`jnl`	Memory of recurrent networks: Do we compute it right? CoRR Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega
2023	J	`jnl`	The Design and Development of Instrumented Toys for the Assessment of Infant Cognitive Flexibility. Sensors 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
2023	—	`conf`	The Gaussian Kernel on the Circle and Spaces that Admit Isometric Embeddings of the Circle. GSI (1) Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega
2023	J	`jnl`	The Gaussian kernel on the circle and spaces that admit isometric embeddings of the circle. CoRR Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega
2022	J	`jnl`	Discrete-Time Signatures and Randomness in Reservoir Computing. IEEE Trans. Neural Networks Learn. Syst. Christa Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega, Josef Teichmann
2022	J	`jnl`	Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing. IEEE Trans. Neural Networks Learn. Syst. Gouhei Tanaka, Claudio Gallicchio, Alessio Micheli, Juan-Pablo Ortega, Akira Hirose
2022	J	`jnl`	Reservoir kernels and Volterra series. CoRR Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
2022	J	`jnl`	Transport in reservoir computing. CoRR G. Manjunath, Juan-Pablo Ortega
2021	—	`conf`	Expressiveness and Structure Preservation in Learning Port-Hamiltonian Systems. GSI (2) Juan-Pablo Ortega, Daiying Yin
2021	J	`jnl`	Fading memory echo state networks are universal. Neural Networks Lukas Gonon, Juan-Pablo Ortega
2021	J	`jnl`	Learning strange attractors with reservoir systems. CoRR Lyudmila Grigoryeva, Allen Hart, Juan-Pablo Ortega
2020	J	`jnl`	Approximation Bounds for Random Neural Networks and Reservoir Systems. CoRR Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
2020	J	`jnl`	Dimension reduction in recurrent networks by canonicalization. CoRR Lyudmila Grigoryeva, Juan-Pablo Ortega
2020	J	`jnl`	Discrete-time signatures and randomness in reservoir computing. CoRR Christa Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega, Josef Teichmann
2020	J	`jnl`	Fading memory echo state networks are universal. CoRR Lukas Gonon, Juan-Pablo Ortega
2020	J	`jnl`	Memory and forecasting capacities of nonlinear recurrent networks. CoRR Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
2020	J	`jnl`	Reservoir Computing Universality With Stochastic Inputs. IEEE Trans. Neural Networks Learn. Syst. Lukas Gonon, Juan-Pablo Ortega
2019	J	`jnl`	Closed-form variance swap prices under general affine GARCH models and their continuous-time limits. Ann. Oper. Res. Alexandru Badescu, Zhenyu Cui, Juan-Pablo Ortega
2019	J	`jnl`	Differentiable reservoir computing. CoRR Lyudmila Grigoryeva, Juan-Pablo Ortega
2019	J	`jnl`	Differentiable reservoir computing. J. Mach. Learn. Res. Lyudmila Grigoryeva, Juan-Pablo Ortega
2019	J	`jnl`	Risk bounds for reservoir computing. CoRR Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
2018	J	`jnl`	Echo state networks are universal. CoRR Lyudmila Grigoryeva, Juan-Pablo Ortega
2018	J	`jnl`	Echo state networks are universal. Neural Networks Lyudmila Grigoryeva, Juan-Pablo Ortega
2018	J	`jnl`	Reservoir Computing Universality With Stochastic Inputs. CoRR Lukas Gonon, Juan-Pablo Ortega
2018	J	`jnl`	Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems. J. Mach. Learn. Res. Lyudmila Grigoryeva, Juan-Pablo Ortega
2017	J	`jnl`	Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems. CoRR Lyudmila Grigoryeva, Juan-Pablo Ortega
2016	J	`jnl`	Estimation and empirical performance of non-scalar dynamic conditional correlation models. Comput. Stat. Data Anal. Luc Bauwens, Lyudmila Grigoryeva, Juan-Pablo Ortega
2016	J	`jnl`	Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals. Neural Comput. Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
2016	—	`conf`	Reservoir Computing: Information Processing of Stationary Signals. CSE/EUC/DCABES Lyudmila Grigoryeva, Julie Henriques, Juan-Pablo Ortega
2016	—	`conf`	Time-Delay Reservoir Computers and High-Speed Information Processing Capacity. CSE/EUC/DCABES Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
2015	J	`jnl`	Forecasting, filtering, and reconstruction of stochastic stationary signals using discrete-time reservoir computers. CoRR Lyudmila Grigoryeva, Julie Henriques, Juan-Pablo Ortega
2015	J	`jnl`	Non-Gaussian GARCH option pricing models and their diffusion limits. Eur. J. Oper. Res. Alexandru Badescu, Robert J. Elliott, Juan-Pablo Ortega
2015	J	`jnl`	Nonlinear memory capacity of parallel time-delay reservoir computers in the processing of multidimensional signals. CoRR Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
2014	J	`jnl`	Multivariate GARCH estimation via a Bregman-proximal trust-region method. Comput. Stat. Data Anal. Stéphane Chrétien, Juan-Pablo Ortega
2014	J	`jnl`	Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality. Neural Networks Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
2003	J	`jnl`	Bifurcation of relative equilibria in mechanical systems with symmetry. Adv. Appl. Math. Pascal Chossat, Debra Lewis, Juan-Pablo Ortega, Tudor S. Ratiu