Calypso Herrera

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Ordinary Differential Equations

Conditional Expectation

Robust Principal Component Analysis

Positive Semidefinite Matrices

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Trans. Mach. Learn. Res.

Publications

Calypso Herrera, Florian Krach, Anastasis Kratsios, Pierre Ruyssen, Josef Teichmann
Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices. Trans. Mach. Learn. Res. 2023 (2023)
Michel Baes, Calypso Herrera, Ariel Neufeld, Pierre Ruyssen
Low-Rank Plus Sparse Decomposition of Covariance Matrices Using Neural Network Parametrization. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Calypso Herrera, Florian Krach, Pierre Ruyssen, Josef Teichmann
Optimal Stopping via Randomized Neural Networks. CoRR (2021)
Calypso Herrera, Florian Krach, Josef Teichmann
Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering. ICLR (2021)
Calypso Herrera, Florian Krach, Josef Teichmann
Estimating Full Lipschitz Constants of Deep Neural Networks. CoRR (2020)
Calypso Herrera, Florian Krach, Josef Teichmann
Denise: Deep Learning based Robust PCA for Positive Semidefinite Matrices. CoRR (2020)
Calypso Herrera, Florian Krach, Josef Teichmann
Theoretical Guarantees for Learning Conditional Expectation using Controlled ODE-RNN. CoRR (2020)
Michel Baes, Calypso Herrera, Ariel Neufeld, Pierre Ruyssen
Low-Rank plus Sparse Decomposition of Covariance Matrices using Neural Network Parametrization. CoRR (2019)