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Bastiaan S. Veeling
Bastiaan S. Veeling
Microsoft Research Amsterdam
Verified email at uva.nl - Homepage
Title
Cited by
Cited by
Year
Rotation equivariant CNNs for digital pathology
BS Veeling, J Linmans, J Winkens, T Cohen, M Welling
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
6502018
How good is the Bayes posterior in deep neural networks really?
F Wenzel, K Roth, BS Veeling, J Świątkowski, L Tran, S Mandt, J Snoek, ...
arXiv preprint arXiv:2002.02405, 2020
4032020
Putting an end to end-to-end: Gradient-isolated learning of representations
S Löwe, P O'Connor, B Veeling
Advances in neural information processing systems 32, 2019
1522019
Supervised uncertainty quantification for segmentation with multiple annotations
S Hu, D Worrall, S Knegt, B Veeling, H Huisman, M Welling
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
1102019
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning
S Trajanovski, D Mavroeidis, CL Swisher, BG Gebre, BS Veeling, ...
Computerized Medical Imaging and Graphics 90, 101883, 2021
702021
Learning sub-sampling and signal recovery with applications in ultrasound imaging
IAM Huijben, BS Veeling, K Janse, M Mischi, RJG van Sloun
IEEE Transactions on Medical Imaging 39 (12), 3955-3966, 2020
662020
The k-tied normal distribution: A compact parameterization of Gaussian mean field posteriors in Bayesian neural networks
J Swiatkowski, K Roth, B Veeling, L Tran, J Dillon, J Snoek, S Mandt, ...
International conference on machine learning, 9289-9299, 2020
642020
Pde-refiner: Achieving accurate long rollouts with neural pde solvers
P Lippe, B Veeling, P Perdikaris, R Turner, J Brandstetter
Advances in Neural Information Processing Systems 36, 67398-67433, 2023
552023
Hydra: Preserving ensemble diversity for model distillation
L Tran, BS Veeling, K Roth, J Swiatkowski, JV Dillon, J Snoek, S Mandt, ...
arXiv preprint arXiv:2001.04694, 2020
552020
Fast protein backbone generation with SE (3) flow matching
J Yim, A Campbell, AYK Foong, M Gastegger, J Jiménez-Luna, S Lewis, ...
arXiv preprint arXiv:2310.05297, 2023
512023
Deep probabilistic subsampling for task-adaptive compressed sensing
I Huijben, BS Veeling, RJG van Sloun
8th International Conference on Learning Representations, ICLR 2020, 2020
462020
Learning sampling and model-based signal recovery for compressed sensing MRI
IAM Huijben, BS Veeling, RJG van Sloun
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
402020
Probabilistic multileave for online retrieval evaluation
A Schuth, RJ Bruintjes, F Buüttner, J van Doorn, C Groenland, ...
Proceedings of the 38th international ACM SIGIR Conference on Research and …, 2015
392015
Sample efficient semantic segmentation using rotation equivariant convolutional networks
J Linmans, J Winkens, BS Veeling, TS Cohen, M Welling
arXiv preprint arXiv:1807.00583, 2018
262018
Active deep probabilistic subsampling
H Van Gorp, I Huijben, BS Veeling, N Pezzotti, RJG Van Sloun
International Conference on Machine Learning, 10509-10518, 2021
232021
Improved motif-scaffolding with SE (3) flow matching
J Yim, A Campbell, E Mathieu, AYK Foong, M Gastegger, J Jiménez-Luna, ...
ArXiv, 2024
202024
Improved semantic segmentation for histopathology using rotation equivariant convolutional networks
J Winkens, J Linmans, BS Veeling, TS Cohen, M Welling
202018
Dynamic probabilistic pruning: A general framework for hardware-constrained pruning at different granularities
L Gonzalez-Carabarin, IAM Huijben, B Veeling, A Schmid, RJG van Sloun
IEEE Transactions on Neural Networks and Learning Systems 35 (1), 733-744, 2022
122022
Improving visitor traffic forecasting in brick-and-mortar retail stores with neural networks
B Veeling
Bachelor thesis, Universiteit Twente, 2014
62014
Greedy infomax for self-supervised representation learning
S Löwe, P O’Connor, BS Veeling
Master Thesis, MSc Artificial Intelligence, University of Amsterdam. Source, 2019
42019
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