Antônio H. Ribeiro

News & updates

  1. 📜 Our paper "Anytime-Valid Conformal Risk Control", with Bror Hultberg and Dave Zachariah, has been accepted at NeurIPS 2026. Read more ↗

  2. 📝 I will teach Learning Theory and High-Dimensional Statistics at Uppsala University from January to March 2027. Course details and registration are now available. Read more ↗

  3. 📜 Our journal paper on the George B. Moody PhysioNet Challenge 2025 is now published in Physiological Measurement. We report on detecting Chagas disease from the ECG. Read more ↗

  4. Group photo at the launch of ELLIS Unit Sweden at KTH.
    ELLIS Unit Sweden launch, 15 October 2026. Photo: Christer Gummesson.

    🎬 ELLIS Unit Sweden was inaugurated, bringing together researchers from KTH, Uppsala University, Linköping University, and Chalmers. Read more ↗

  5. 📜 New paper in Expert Systems with Applications. We improve interpretability and feature attribution in hybrid AI-ECG models by controlling metadata leakage and feature interactions. Read more ↗

  6. 📜 New paper in PLOS Digital Health. We investigate how pretraining data composition affects the performance and generalisation of ECG foundation models, and propose a strategy to improve transfer to unseen populations. Read more ↗

Earlier updates

  1. 👨🏻‍🏫 I joined the Editorial Board of PLOS Digital Health as an Academic Editor. Read more ↗

  2. 🏆 Our paper "Deep networks for system identification: A survey" received the 2026 Automatica Paper Prize Award from IFAC. Read more ↗

  3. 📜 New paper in Circulation. Opportunistic Screening for Chagas Disease Using an Artificial Intelligence-Enabled ECG: Prospective Evaluation of Feasibility and Diagnostic Accuracy. Read more ↗

  4. 📜 New paper at IEEE Transactions on Biomedical Engineering. Explaining deep learning for ECG using time-localized clusters. Read more ↗

  5. 📜 New paper at Nature Communications. A deep learning ECG model for localization of occlusion myocardial infarction. Read more ↗

  6. 📜 New paper at npj Digital Medicine. CODE-II: A large-scale dataset for artificial intelligence in ECG analysis. Read more ↗

  7. 🏆 I was awarded a WASP Academic PhD Project grant. The project is titled: "Large-Scale Robust Machine Learning via Minmax Formulations".

  8. February 2026 cover of Nature Machine Intelligence featuring a foundation model for cardiac health monitoring.

    📜 New paper at Nature Machine on fondation models for health monitoring is the cover of February issue Read more ↗

  9. 📜 New paper at ICLR. On the Interaction of Compressibility and Adversarial Robustness. Read more ↗

  10. 📜 New paper at Machine Learning: Health. A Multi-Source Domain Fine-Tuning Framework for Deep Generalization in Physiological Time Series. Read more ↗

  11. 📜 New paper at npj Digital Medicine. The Cost of Explainability in AI-Enhanced ECG Models. Read more ↗

  12. 🏆 I am now a Scilifelab Group leader. Read more ↗

  13. 📜 New paper at Journal of Electrocardiology. Evaluation of AI ECG Age in the Prediction of Cardiovascular Diseases and Risk Factors. Read more ↗

  14. Group photo with faculty from the World Heart Federation Emerging Leaders programme.

    🎬 I participated as Faculty in the World Heart Federation emerging learders programme. Teaching the next emerging learders cohorts about AI.

  15. 📜 New paper at Circulation: Arrhythmia and Electrophysiology. Prediction of Atrial Fibrillation From the ECG Using Deep Learning: A Multinational Study. Read more ↗

  16. 📜 New paper at NeurIPS. Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization.

  17. 📜 New paper at CinC. Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025. Read more ↗

  18. 📜 New paper at AIME. Contrasting by Augmented Patient Electrocardiograms to Learn Representations for a Foundation Model. Read more ↗

  19. 📜 New paper at Scientific Reports. Exploring the Feasibility of Olfactory Brain-Computer Interfaces.

  20. Antônio Ribeiro presenting Chagas disease screening during his SBAI plenary talk.

    🎬 I gave the plenary talk at SBAI (Simpósio Brasileiro de Automação Inteligente). Photo 2 ↗

  21. 🏆 I am now a member of ELLIS (European Laboratory for Learning and Intelligent Systems). Read more ↗

  22. 📜 New paper at ICML. Human-Aligned Image Models Improve Visual Decoding from the Brain. Read more ↗

  23. 📜 New paper at ICASSP. Deep Learning Amplified Early Stopping Bias: Overestimating Performance on Small Datasets.

  24. 📜 New paper at The Lancet Digital Health. AI-Enhanced ECG for the Identification of a Sex-Related Cardiovascular Risk Continuum.

  25. 📜 New paper at AISTATS. Efficient Optimization Algorithms for Linear Adversarial Training. Read more ↗

  26. 📜 New paper at npj Digital Medicine. Evaluating AI-ECG in a longitudinal study. Read more ↗

  27. 📜 New editorial at European Heart Journal. We discuss the challenges and promisses of AI-ECG. Read more ↗

  28. ✈️ One month research visit to Francis Bach group at INRIA during Novemeber 2024.

  29. 📜 New Paper on Lancet Digital Health. We develop and validate a new AI-ECG cardiovascular risk estimator, Read more ↗

  30. 📜 New survey on the Deep learning for System identification at Automatica. Read more ↗

  31. 📜 New paper at NeurIPS (spotlight). Pre-trained transformers are aligned with Human olfactory perception. Read more ↗

  32. 📝 I am hiring! Two new fully funded PhD position and one postdoc position. Read more ↗

  33. 📜 New paper at ICML. We provide a high-dimensional analysis of PCA + Linear regression (PCR). Read more ↗

  34. 📜 Two new papers: npj Digital Medicine and Scietific Reports. AI-ECG for predicting electrolytes and cardiometabolic disease. Reference 1 ↗Reference 2 ↗

  35. 🎓 Daniel Gedon successfully defended his PhD thesis. His thesis include publications on ICML, UAI, Scientific Reports and IEEE Signal Processing Letters. Next he is going to Tübingen University, Germany, as a PostDoc. Read more ↗

  36. 📜 New paper about generalization of deep learning in AI-ECG. Read more ↗

  37. 👨🏻‍🏫 I started as Assistant Professor at Uppsala University Read more ↗

  38. 🎓 Arvid Eriksson successfully defended his MSc thesis. His master thesis generated a paper that will be presented in Computer in Cardiology 2024. He also got a position at KTH as a PhD Student. Read more ↗

  39. 🎬 Talk at Karolinska as part of DDLS fellows program. Read more ↗

  40. 📜 New paper about knowledge discovery in AI-ECG accepted in EHJ Digital Health Read more ↗

  41. ✈️ I started as postdoctoral researcher at KTH Royal Institute of Technology, Sweden, Read more ↗

  42. 🎬 I present my work in the seminar series from the National Laboratory of Scientific Computing (Brazil) Read more ↗

  43. 📜 New paper accepted at NeurIPS as a spotlight. Read more ↗

  44. 📜 New publications at Journal of Electrocardiology: Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by a Deep neural network. Read more ↗

  45. 🎬 I presented my work on the European Research Network System Identification (ENRSI) workshop in Stockholm Read more ↗

  46. 📜 Two new publications: one at Circulation and one at the European Heart Journal Digital Health. Reference 1 ↗Reference 2 ↗

  47. Group photo during Antônio Ribeiro's research visit to Fu Siong's group at Imperial College London.

    ✈️ I visiting Fu Siong group at Imperial college for one week. Read more ↗

  48. 📜 Two new publications using AI-augmented ECG: screening for Chagas disease patients and using age estimated by AI-ECG as a biomarker of cardiovascular risk Reference 1 ↗Reference 2 ↗

  49. 🎬 Two online talks today. One at PUC-Rio-Brazil and one at IEEE EMBS Germany Chapter in Göttingen!. Reference 1 ↗Reference 2 ↗

  50. 📜 Paper accepted at IEEE Signal Processing Letters. Invertible Kernel PCA with Random Fourier Features Read more ↗

  51. 📜 Paper accepted at Frontiers in Cardiovascular Medicine. Association of lifestyle with deep-learning based ECG-age Read more ↗

  52. 📜 Paper accepted at IEEE Transactions on Signal Processing. Overparameterized Linear Regression under Adversarial Attacks Read more ↗

  53. 📜 Paper accepted at IEEE Transactions on Biomedical Engineering. On Merging Feature Engineering and Deep Learning Read more ↗

  54. ✈️ I was awarded the ELISE Mobility Grant for a research visit to Francis Bach group at ENS/INRIA during Spring 2023.

  55. 🎬 Talk at Aalto University and ELLIS unit Helsinki! "Adversarial Attacks in Linear Regression". Read more ↗

  56. 📜 Paper accepted at Scientific Reports. Deep learning ECG-based prediction of myocardial infarction Read more ↗

  57. Antônio Ribeiro holding his Benzelius Award certificate during the award ceremony in Uppsala.

    🏆 I received the Benzelius Award! From the Royal Academy of Sciences in Uppsala

  58. 🎓 Theogene Habineza successfully defended his MSc thesis. His master thesis generated a paper accepted for publication in Journal of Electrocadiography. Reference 1 ↗Reference 2 ↗