Bastiaan S. Veeling

According to our database, Bastiaan S. Veeling authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., January, 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

CoRR, 2024

2023

Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck.

Marco Federici, Patrick Forré, Ryota Tomioka, Bastiaan S. Veeling

CoRR, 2023

PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers.

Phillip Lippe, Bas Veeling, Paris Perdikaris, Richard E. Turner, Johannes Brandstetter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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, Heber MacMahon, Homer H. Pien

Comput. Medical Imaging Graph., 2021

Active Deep Probabilistic Subsampling.

Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun

Proceedings of the 38th International Conference on Machine Learning, 2021

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

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

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

Proceedings of the 37th International Conference on Machine Learning, 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

Proceedings of the 37th International Conference on Machine Learning, 2020

Deep probabilistic subsampling for task-adaptive compressed sensing.

Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI.

Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning.

Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling

CoRR, 2019

Putting An End to End-to-End: Gradient-Isolated Learning of Representations.

Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Supervised Uncertainty Quantification for Segmentation with Multiple Annotations.

Shi Hu, Daniel E. Worrall, Stefan Knegt, Bas Veeling, Henkjan J. Huisman, Max Welling

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Predictive Uncertainty through Quantization.

Bastiaan S. Veeling, Rianne van den Berg, Max Welling

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

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, Homer H. Pien

CoRR, 2018

Rotation Equivariant CNNs for Digital Pathology.

Bastiaan S. Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, Max Welling

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2015

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

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015