Publications

Conferences and journals

2021

  1. ICLR
    Post-Hoc Domain Adaptation via Guided Data Homogenization
    Willis, Kurt, and Oala, Luis
    In ICLR 2021 Workshop on Robust and Reliable Machine Learning in the Real World Workshop (RobustML) 2021
  2. ICLR
    More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data
    Calderon-Ramirez, Saul, and Oala, Luis
    In ICLR 2021 Workshop on Robust and Reliable Machine Learning in the Real World Workshop (RobustML) 2021
  3. BVM Best Paper Prize
    Interval Neural Networks as Instability Detectors for Image Reconstructions
    Macdonald, Jan, März, Maximilian, Oala, Luis, and Samek, Wojciech
    In Bildverarbeitung für die Medizin 2021 2021
  4. IJCARS
    Detecting failure modes in image reconstructions with interval neural network uncertainty
    Oala, Luis, Heiß, Cosmas, Macdonald, Jan, März, Maximilian, Kutyniok, Gitta, and Samek, Wojciech
    International Journal of Computer Assisted Radiology and Surgery 2021

2020

  1. NeurIPS Spotlight
    Top 10%
    ML4H Auditing: From Paper to Practice
    Oala, Luis, Fehr, Jana, Gilli, Luca, Balachandran, Pradeep, Leite, Alixandro Werneck, Calderon-Ramirez, Saul, Li, Danny Xie, Nobis, Gabriel, Alvarado, Erick Alejandro Munoz, Jaramillo-Gutierrez, Giovanna, Matek, Christian, Shroff, Arun, Kherif, Ferath, Sanguinetti, Bruno, and Wiegand, Thomas
    In Proceedings of the Machine Learning for Health NeurIPS Workshop 2020
  2. ICML Spotlight
    Top 10%
    Detecting Failure Modes in Image Reconstructions with Interval Neural Network Uncertainty
    Oala, Luis, Heiß, Cosmas, Macdonald, Jan, März, Maximilian, Samek, Wojciech, and Kutyniok, Gitta
    In ICML 2020 Workshop on Uncertainty & Robustness in Deep Learning 2020

Preprints

2020

  1. arXiv
    Interval Neural Networks: Uncertainty Scores
    Oala, Luis, Heiß, Cosmas, Macdonald, Jan, März, Maximilian, Samek, Wojciech, and Kutyniok, Gitta
    2020
  2. arXiv
    MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
    Calderon-Ramirez, Saul, Oala, Luis, Torrents-Barrena, Jordina, Yang, Shengxiang, Moemeni, Armaghan, Samek, Wojciech, and Molina-Cabello, Miguel A.
    2020

Standardization

2021

  1. ITU/WHO
    Good practices for health applications of machine learning: Considerations for manufacturers and regulators
    Johner, Christian, Balachandran, Pradeep, Oala, Luis, Lee, Aaron .Y., Leite, Alixandro Werneck, Murchison, Andrew, Lin, Anle, Molnar, Christoph, Rumball-Smith, Juliet, Baird, Pat, Goldschmidt, Peter. G., Quartarolo, Pierre, Xu, Shan, Piechottka, Sven, and Hornberger, Zack
    In Proceedings of the ITU/WHO Focus Group on Artificial Intelligence for Health (FG-AI4H) - Meeting K 2021
  2. ITU/WHO
    FG-AI4H Open Code Initiative - Evaluation and Reporting Package
    Schörverth, Elora, Vogler, Steffen, Balachandran, Pradeep, Leite, Alixandro Werneck, Li, Danny Xie, Ali, Kamran, Garcia, , Schneider, Dominik, Krois, Joachim, Lecoultre, Marc, Iyer, Shobha, Choudhary, Shruti, and Oala, Luis
    In Proceedings of the ITU/WHO Focus Group on Artificial Intelligence for Health (FG-AI4H) - Meeting K 2021

2020

  1. ITU/WHO
    Data and artificial intelligence assessment methods (DAISAM) reference
    Oala, Luis, Balachandran, Pradeep, Cabitza, Federico, Calderon Ramirez, Saul, Chiavegatto Filho, Alexandre, Eitel, Fabian, Extermann, Jérôme, Fehr, Jana, Ghozzi, Stephane, Gilli, Luca, Jaramillo-Gutierrez, Giovanna, Kester, Quist-Aphetsi, Kurapati, Shalini, Konigorski, Stefan, Krois, Joachim, Lippert, Christoph, Martin, Jörg, Merola, Alberto, Murchison, Andrew, Niehaus, Sebastian, Ritter, Kerstin, Samek, Wojciech, Sanguinetti, Bruno, Schwerk, Anne, and Srinivasan, Vignesh
    In Proceedings of the ITU/WHO Focus Group on Artificial Intelligence for Health (FG-AI4H) - Meeting I 2020
  2. ITU/WHO
    Data and artificial intelligence assessment methods (DAISAM) Audit Reporting Template
    Verks, Boris, and Oala, Luis
    In Proceedings of the ITU/WHO Focus Group on Artificial Intelligence for Health (FG-AI4H) - Meeting J 2020