Tensor Network Kalman Filter for LTI Systems. - Daniel Gedon; Pieter Piscaer; Kim Batselier; Carlas S. Smith; Michel Verhaegen (EUSIPCO, 2019)

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. (CinC, 2020)

Deep State Space Models for Nonlinear System Identification. - Daniel Gedon; Niklas Wahlström; Thomas B. Schön; Lennart Ljung (CoRR, 2020)

First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG. - Daniel Gedon; Antônio H. Ribeiro; Niklas Wahlström; Thomas B. Schön (CinC, 2021)

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)

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)

Invertible Kernel PCA With Random Fourier Features. - Daniel Gedon; Antônio H. Ribeiro; Niklas Wahlström; Thomas B. Schön (IEEE Signal Process. Lett., 2023)

No Double Descent in Principal Component Regression: A High-Dimensional Analysis. - Daniel Gedon; Antônio H. Ribeiro; Thomas B. Schön (ICML, 2024)

Uncertainty Estimation with Recursive Feature Machines. - Daniel Gedon; Amirhesam Abedsoltan; Thomas B. Schön; Mikhail Belkin (UAI, 2024)

On Deep Learning for Low-Dimensional Representations. - Daniel Gedon (2024)

Deep networks for system identification: A survey. - Gianluigi Pillonetto; Aleksandr Y. Aravkin; Daniel Gedon; Lennart Ljung; Antônio H. Ribeiro; Thomas B. Schön (Autom., 2025)

Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models. - Julius Vetter; Manuel Glöckler; Daniel Gedon; Jakob H. Macke (CoRR, 2025)