Ortega, Juan-Pablo

8 publications

JMLR 2024 Geometric Learning with Positively Decomposable Kernels Nathael Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said

JMLR 2024 Learnability of Linear Port-Hamiltonian Systems Juan-Pablo Ortega, Daiying Yin

TMLR 2024 Learning Multi-Modal Generative Models with Permutation-Invariant Encoders and Tighter Variational Objectives Marcel Hirt, Domenico Campolo, Victoria Leong, Juan-Pablo Ortega

JMLR 2024 Memory of Recurrent Networks: Do We Compute It Right? Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega

NeurIPSW 2021 Expressive Power of Randomized Signature Christa Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega, Josef Teichmann

JMLR 2020 Risk Bounds for Reservoir Computing Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega

JMLR 2019 Differentiable Reservoir Computing Lyudmila Grigoryeva, Juan-Pablo Ortega

JMLR 2018 Universal Discrete-Time Reservoir Computers with Stochastic Inputs and Linear Readouts Using Non-Homogeneous State-Affine Systems Lyudmila Grigoryeva, Juan-Pablo Ortega