publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. Improved Allergy Wheal Detection for the Skin Prick Automated Test Device
    Rembert Daems, Sven F Seys, Valerie Hox, Adam Chaker, Glynnis De Greve, Winde Lemmens, Anne-Lise Poirrier, Eline Beckers, Zuzana Diamant, Carmen Dierickx, Peter W Hellings, Caroline Huart, Claudia Jerin, Mark Jorissen, Hanne Osce, Karolien Roux, Mark Thompson, Sophie Tombu, Saartje Uyttebroek, Andrzej Zarowski, Senne Gorris, Laura Van Gerven, Dirk Loeckx, and Thomas Demeester
    In Artificial Intelligence in Medicine (AIME), 2025
  2. Fractional Brownian Bridges for Aligned Data
    Gabriel Nobis, Arina Belova, Maximilian Springenberg, Rembert Daems, Christoph Knochenhauer, Manfred Opper, Tolga Birdal, and Wojciech Samek
    In Learning Meaningful Representations of Life (LMRL) Workshop at ICLR 2025, 2025
  3. Efficient Training of Neural SDEs Using Stochastic Optimal Control
    Rembert Daems, Manfred Opper, Guillaume Crevecoeur, and Tolga Birdal
    In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2025

2024

  1. KeyCLD: Learning constrained Lagrangian dynamics in keypoint coordinates from images
    Rembert Daems, Jeroen Taets, Guillaume Crevecoeur, and Francis wyffels
    Neurocomputing, 2024
  2. Variational Inference for SDEs Driven by Fractional Noise
    Rembert Daems, Manfred Opper, Guillaume Crevecoeur, and Tolga Birdal
    In The Twelfth International Conference on Learning Representations, 2024
  3. Generative Fractional Diffusion Models
    Gabriel Nobis, Maximilian Springenberg, Marco Aversa, Michael Detzel, Rembert Daems, Roderick Murray-Smith, Shinichi Nakajima, Sebastian Lapuschkin, Stefano Ermon, Tolga Birdal, Manfred Opper, Christoph Knochenhauer, Luis Oala, and Wojciech Samek
    In Advances in Neural Information Processing Systems, 2024

2023

  1. Evaluation of skin prick location on the forearm using a novel skin prick automated test device
    Sven F Seys, Senne Gorris, Saartje Uyttebroek, Wout Backaert, Mark Jorissen, Rik Schrijvers, Rembert Daems, Dirk Loeckx, Laura Van Gerven, and Peter W Hellings
    Frontiers in Allergy, 2023

2022

  1. CenDerNet: Center and Curvature Representations for Render-and-Compare 6D Pose Estimation
    Peter De Roovere, Rembert Daems, Jonathan Croenen, Taoufik Bourgana, Joris Hoog, and Francis Wyffels
    In European Conference on Computer Vision, 2022

2020

  1. Unsupervised orientation learning using autoencoders
    Rembert Daems, and Francis wyffels
    In NeurIPS 2020 Workshop: Differential Geometry meets Deep Learning (DiffGeo4DL), 2020

2016

  1. Validation of three-dimensional total knee replacement kinematics measurement using single-plane fluoroscopy
    Rembert Daems, Jan Victor, Patrick De Baets, Stefaan Van Onsem, and Matthias Verstraete
    International Journal of Sustainable Construction and Design, 2016