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2020 – today
- 2025
[j2]Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön:
Deep networks for system identification: A survey. Autom. 171: 111907 (2025)- 2024
- [b1]Daniel Gedon:
On Deep Learning for Low-Dimensional Representations. Uppsala University, Sweden, 2024 - [c4]Daniel Gedon, Antônio H. Ribeiro, Thomas B. Schön:
No Double Descent in Principal Component Regression: A High-Dimensional Analysis. ICML 2024 - 2023
- [j1]Daniel Gedon
, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön:
Invertible Kernel PCA With Random Fourier Features. IEEE Signal Process. Lett. 30: 563-567 (2023) - [i5]Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön:
Deep networks for system identification: a Survey. CoRR abs/2301.12832 (2023) - [i4]Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön:
Invertible Kernel PCA with Random Fourier Features. CoRR abs/2303.05043 (2023) - [i3]Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon, Joachim A. Behar, Antônio Luiz Pinho Ribeiro, Thomas B. Schön:
End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks. CoRR abs/2309.16335 (2023) - 2022
- [i2]Philipp Von Bachmann, Daniel Gedon, Fredrik K. Gustafsson, Antônio H. Ribeiro, Erik Lampa, Stefan Gustafsson, Johan Sundström, Thomas B. Schön:
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods. CoRR abs/2212.13890 (2022) - 2021
- [c3]Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön:
First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG. CinC 2021: 1-4 - 2020
- [c2]Antônio H. Ribeiro, Daniel Gedon, Daniel Martins Teixeira, Manoel Horta Ribeiro, Antônio Luiz Pinho Ribeiro, Thomas B. Schön, Wagner Meira Jr.:
Automatic 12-lead ECG Classification Using a Convolutional Network Ensemble. CinC 2020: 1-4 - [i1]Daniel Gedon, Niklas Wahlström, Thomas B. Schön, Lennart Ljung:
Deep State Space Models for Nonlinear System Identification. CoRR abs/2003.14162 (2020)
2010 – 2019
- 2019
- [c1]Daniel Gedon, Pieter Piscaer, Kim Batselier, Carlas S. Smith, Michel Verhaegen:
Tensor Network Kalman Filter for LTI Systems. EUSIPCO 2019: 1-5
Coauthor Index
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