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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
6892018
How good is the bayes posterior in deep neural networks really?
F Wenzel, K Roth, BS Veeling, J ¦wi±tkowski, L Tran, S Mandt, J Snoek, ...
arXiv preprint arXiv:2002.02405, 2020
4282020
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
1632019
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
1112019
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
762021
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
752023
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
692023
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
692020
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
682020
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
592020
Deep probabilistic subsampling for task-adaptive compressed sensing
I Huijben, BS Veeling, RJG van Sloun
8th International Conference on Learning Representations, ICLR 2020, 2020
502020
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
432020
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
382015
Improved motif-scaffolding with SE (3) flow matching
J Yim, A Campbell, E Mathieu, AYK Foong, M Gastegger, J Jiménez-Luna, ...
ArXiv, arXiv: 2401.04082 v2, 2024
332024
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
242021
Improved semantic segmentation for histopathology using rotation equivariant convolutional networks
J Winkens, J Linmans, BS Veeling, TS Cohen, M Welling
192018
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
132022
Scalable emulation of protein equilibrium ensembles with generative deep learning
S Lewis, T Hempel, J Jiménez-Luna, M Gastegger, Y Xie, AYK Foong, ...
bioRxiv, 2024.12. 05.626885, 2024
62024
Improving visitor traffic forecasting in brick-and-mortar retail stores with neural networks
B Veeling
Bachelor thesis, Universiteit Twente, 2014
62014
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