Probabilistic Multileave for Online Retrieval Evaluation. - Anne Schuth; Robert-Jan Bruintjes; Fritjof Buüttner; Joost van Doorn; Carla Groenland; Harrie Oosterhuis; Cong-Nguyen Tran; Bas Veeling; Jos van der Velde; Roger Wechsler; David Woudenberg; Maarten de Rijke (SIGIR, 2015)

Rotation Equivariant CNNs for Digital Pathology. - Bastiaan S. Veeling; Jasper Linmans; Jim Winkens; Taco Cohen; Max Welling (MICCAI (2), 2018)

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. - Stojan Trajanovski; Dimitrios Mavroeidis; Christine Leon Swisher; Binyam Gebrekidan Gebre; Bas Veeling; Rafael Wiemker; Tobias Klinder; Amir Tahmasebi; Shawn M. Regis; Christoph Wald; Brady J. McKee; Heber MacMahon; et al. (CoRR, 2018)

Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks. - Jasper Linmans; Jim Winkens; Bastiaan S. Veeling; Taco S. Cohen; Max Welling (CoRR, 2018)

Predictive Uncertainty through Quantization. - Bastiaan S. Veeling; Rianne van den Berg; Max Welling (CoRR, 2018)

Supervised Uncertainty Quantification for Segmentation with Multiple Annotations. - Shi Hu; Daniel E. Worrall; Stefan Knegt; Bas Veeling; Henkjan J. Huisman; Max Welling (MICCAI (2), 2019)

Putting An End to End-to-End: Gradient-Isolated Learning of Representations. - Sindy Löwe; Peter O'Connor; Bastiaan S. Veeling (NeurIPS, 2019)

Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning. - Sindy Löwe; Peter O'Connor; Bastiaan S. Veeling (CoRR, 2019)

Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. - Iris A. M. Huijben; Bastiaan S. Veeling; Ruud J. G. van Sloun (ICASSP, 2020)

Deep probabilistic subsampling for task-adaptive compressed sensing. - Iris A. M. Huijben; Bastiaan S. Veeling; Ruud J. G. van Sloun (ICLR, 2020)

The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. - Jakub Swiatkowski; Kevin Roth; Bastiaan S. Veeling; Linh Tran; Joshua V. Dillon; Jasper Snoek; Stephan Mandt; Tim Salimans; Rodolphe Jenatton; Sebastian Nowozin (ICML, 2020)

How Good is the Bayes Posterior in Deep Neural Networks Really? - Florian Wenzel; Kevin Roth; Bastiaan S. Veeling; Jakub Swiatkowski; Linh Tran; Stephan Mandt; Jasper Snoek; Tim Salimans; Rodolphe Jenatton; Sebastian Nowozin (ICML, 2020)

Hydra: Preserving Ensemble Diversity for Model Distillation. - Linh Tran; Bastiaan S. Veeling; Kevin Roth; Jakub Swiatkowski; Joshua V. Dillon; Jasper Snoek; Stephan Mandt; Tim Salimans; Sebastian Nowozin; Rodolphe Jenatton (CoRR, 2020)

Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging. - Iris A. M. Huijben; Bastiaan S. Veeling; Kees Janse; Massimo Mischi; Ruud J. G. van Sloun (IEEE Trans. Medical Imaging, 2020)

Active Deep Probabilistic Subsampling. - Hans Van Gorp; Iris A. M. Huijben; Bastiaan S. Veeling; Nicola Pezzotti; Ruud J. G. van Sloun (ICML, 2021)

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. - Stojan Trajanovski; Dimitrios Mavroeidis; Christine Leon Swisher; Binyam Gebrekidan Gebre; Bastiaan S. Veeling; Rafael Wiemker; Tobias Klinder; Amir Tahmasebi; Shawn M. Regis; Christoph Wald; Brady J. McKee; Sebastian Flacke; et al. (Comput. Medical Imaging Graph., 2021)

PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers. - Phillip Lippe; Bas Veeling; Paris Perdikaris; Richard E. Turner; Johannes Brandstetter (NeurIPS, 2023)

Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck. - Marco Federici; Patrick Forré; Ryota Tomioka; Bastiaan S. Veeling (ICLR, 2024)

Improved motif-scaffolding with SE(3) flow matching. - Jason Yim; Andrew Campbell; Emile Mathieu; Andrew Y. K. Foong; Michael Gastegger; José Jiménez-Luna; Sarah Lewis; Victor Garcia Satorras; Bastiaan S. Veeling; Frank Noé; Regina Barzilay; Tommi S. Jaakkola (Trans. Mach. Learn. Res., 2024)

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities. - Lizeth Gonzalez-Carabarin; Iris A. M. Huijben; Bas Veeling; Alexandre Schmid; Ruud J. G. van Sloun (IEEE Trans. Neural Networks Learn. Syst., 2024)