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

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, Screening for Chagas disease from the electrocardiogram using a deep neural network, medRxiv, doi: 10.1101/2023.01.24.23284930, 2023.
medRxiv code models

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

Peer-reviewed publications

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

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

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

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

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

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

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

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

Authors with equal contributions are marked with Author$^\ast$.