Daniel Gedon

According to our database, Daniel Gedon authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

Deep networks for system identification: A survey.

Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön

Autom., 2025

2024

On Deep Learning for Low-Dimensional Representations.

Daniel Gedon

PhD thesis, 2024

No Double Descent in Principal Component Regression: A High-Dimensional Analysis.

Daniel Gedon, Antônio H. Ribeiro, Thomas B. Schön

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Invertible Kernel PCA With Random Fourier Features.

Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön

IEEE Signal Process. Lett., 2023

End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks.

Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon, Joachim A. Behar, Antônio Luiz Pinho Ribeiro, Thomas B. Schön

CoRR, 2023

2022

ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods.

Philipp Von Bachmann, Daniel Gedon, Fredrik K. Gustafsson, Antônio H. Ribeiro, Erik Lampa, Stefan Gustafsson, Johan Sundström, Thomas B. Schön

CoRR, 2022

2021

First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG.

Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Deep State Space Models for Nonlinear System Identification.

Daniel Gedon, Niklas Wahlström, Thomas B. Schön, Lennart Ljung

CoRR, 2020

Automatic 12-lead ECG Classification Using a Convolutional Network Ensemble.

Antônio H. Ribeiro, Daniel Gedon, Daniel Martins Teixeira, Manoel Horta Ribeiro, Antônio Luiz Pinho Ribeiro, Thomas B. Schön, Wagner Meira Jr.

Proceedings of the Computing in Cardiology, 2020

2019

Tensor Network Kalman Filter for LTI Systems.

Daniel Gedon, Pieter Piscaer, Kim Batselier, Carlas S. Smith, Michel Verhaegen

Proceedings of the 27th European Signal Processing Conference, 2019