Publications

Author$^\ast$ indicate equal contributions.


Pre-prints and working manuscripts

Deep networks for system identification: a Survey, Gianluigi Pillonetto, Aleksandr Aravkin, DG, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön, arXiv:2301.12832, provisionally accepted at Automatica, 2023.
arXiv

ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods, Philipp Von Bachmann, DG, Fredrik K. Gustafsson, Antônio H. Ribeiro, Erik Lampa, Stefan Gustafsson, Johan Sundström, Thomas B. Schön, arXiv:2212.13890, 2022.
arXiv


Peer-reviewed publications

No Double Descent in Principal Component Regression: A High-Dimensional Analysis, DG, Antônio H. Ribeiro, Thomas B. Schön, ICML, 2024.

Uncertainty Estimation with Recursive Feature Machines, DG, Amirhesam Abedsoltan, Thomas B. Schön, Mikhail Belkin, UAI, 2024.

On Feature Learning of Recursive Feature Machines and Automatic Relevance Determination, DG, Amirhesam Abedsoltan, Thomas B. Schön, Mikhail Belkin, UniReps: the First Workshop on Unifying Representations in Neural Models Workshop at NeurIPS, 2023.
OpenReview NeurIPS23 workshop

End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks, Theogene Habineza, Antônio H. Ribeiro, DG, Joachim A. Behar, Antonio Luiz P. Ribeiro, Thomas B. Schön, Journal of Electrocardiology, 2023.
doi arXiv code models

Screening for Chagas disease from the electrocardiogram using a deep neural network, Carl Jidling, DG, Thomas B. Schön, Claudia Di Lorenzo Oliveira, Clareci Silva Cardoso, Ariela Mota Ferreira, Luana Giatti, Sandhi Maria Barreto, Ester C. Sabino, Antonio L. P. Ribeiro, Antônio H. Ribeiro, PLOS Neglected Tropical Diseases, 2023.
doi medRxiv code models

Invertible Kernel PCA with Random Fourier Features, DG, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön, IEEE Signal Processing Letters, 2023.
doi arXiv code

Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients, Stefan Gustafsson$^\ast$, DG$^\ast$, Erik Lampa, Antônio H. Ribeiro, Martin J. Holzmann, Thomas B. Schön, Johan Sundström, Scientific Reports 12, 19615, 2022.
doi

ResNet-based ECG Diagnosis of Myocardial Infarction in the Emergency Department, DG$^\ast$, Stefan Gustafsson$^\ast$, Erik Lampa, Antônio H. Ribeiro, Martin J. Holzmann, Thomas B. Schön, Johan Sundström, Machine learning from ground truth: New medical imaging datasets for unsolved medical problems Workshop at NeurIPS, 2021 (Online), Spotlight talk.
paper poster slides workshop

First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG, DG, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön, Computing in Cardiology (CinC), 2021 (Online).
doi slides video (10 min)

Deep State Space Models for Nonlinear System Identification, DG, Niklas Wahlström, Thomas B. Schön, Lennart Ljung, 19th IFAC Symposium on System Identification (SYSID), 2021 (Online).
doi arXiv code slides

Automatic 12-lead ECG classification using a convolutional network ensemble, Antônio H. Ribeiro, DG, Daniel Martins Teixeira, Manoel H. Ribeiro, Antonio L. Pinho Ribeiro, Thomas B. Schön, Wagner Meira Jr., Computing in Cardiology (CinC), 2020 (Online).
doi ieee code slides

Tensor Network Kalman Filter for LTI Systems, DG, Pieter Piscaer, Kim Batselier, Carlas Smith, Michel Verhaegen, 27th European Signal Processing Conference (EUSIPCO), 2019.
doi ieee code slides

Tensor Network Kalman Filter for Large-Scale MIMO Systems: With Application to Adaptive Optics, DG, Master Thesis, TU Delft, the Netherlands, 2019.
thesis slides

PointingSat—high precision pointing error analysis with ESA PEET v1.0 Thomas Ott, Marc Hirth, Massimo Casasco, Simon Görries, DG, Alison Ponche, 10th International ESA Conference on Guidance, Navigation & Control Systems, Salzburg, Austria, 2017.
paper