| 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 | 684 | 2018 |
| 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 | 427 | 2020 |
| 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 | 163 | 2019 |
| 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 | 111 | 2019 |
| 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 | 77 | 2021 |
| 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 | 75 | 2023 |
| 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 | 69 | 2020 |
| 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 | 68 | 2020 |
| 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 | 65 | 2023 |
| 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 | 59 | 2020 |
| Deep probabilistic subsampling for task-adaptive compressed sensing I Huijben, BS Veeling, RJG van Sloun 8th International Conference on Learning Representations, ICLR 2020, 2020 | 50 | 2020 |
| 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 | 43 | 2020 |
| 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 | 38 | 2015 |
| 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 | 32 | 2024 |
| 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 | 26 | 2018 |
| Active deep probabilistic subsampling H Van Gorp, I Huijben, BS Veeling, N Pezzotti, RJG Van Sloun International Conference on Machine Learning, 10509-10518, 2021 | 24 | 2021 |
| Improved semantic segmentation for histopathology using rotation equivariant convolutional networks J Winkens, J Linmans, BS Veeling, TS Cohen, M Welling | 19 | 2018 |
| 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 | 13 | 2022 |
| Improving visitor traffic forecasting in brick-and-mortar retail stores with neural networks B Veeling Bachelor thesis, Universiteit Twente, 2014 | 6 | 2014 |
| 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 | 5 | 2024 |
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamE-mailová adresa ověřena na: uva.nl
