Calypso Herrera

According to our database, Calypso Herrera authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Low-Rank Plus Sparse Decomposition of Covariance Matrices Using Neural Network Parametrization.

Michel Baes, Calypso Herrera, Ariel Neufeld, Pierre Ruyssen

IEEE Trans. Neural Networks Learn. Syst., 2023

Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices.

Calypso Herrera, Florian Krach, Anastasis Kratsios, Pierre Ruyssen, Josef Teichmann

Trans. Mach. Learn. Res., 2023

2021

Optimal Stopping via Randomized Neural Networks.

Calypso Herrera, Florian Krach, Pierre Ruyssen, Josef Teichmann

CoRR, 2021

Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering.

Calypso Herrera, Florian Krach, Josef Teichmann

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Theoretical Guarantees for Learning Conditional Expectation using Controlled ODE-RNN.

Calypso Herrera, Florian Krach, Josef Teichmann

CoRR, 2020

Denise: Deep Learning based Robust PCA for Positive Semidefinite Matrices.

Calypso Herrera, Florian Krach, Josef Teichmann

CoRR, 2020

Estimating Full Lipschitz Constants of Deep Neural Networks.

Calypso Herrera, Florian Krach, Josef Teichmann

CoRR, 2020