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2020 – today
- 2024
[j4]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:
Improved motif-scaffolding with SE(3) flow matching. Trans. Mach. Learn. Res. 2024 (2024)- [j3]Lizeth Gonzalez-Carabarin
, Iris A. M. Huijben, Bas Veeling, Alexandre Schmid, Ruud J. G. van Sloun:
Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities. IEEE Trans. Neural Networks Learn. Syst. 35(1): 733-744 (2024) - [c11]Marco Federici, Patrick Forré, Ryota Tomioka, Bastiaan S. Veeling:
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck. ICLR 2024 - [i15]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:
Improved motif-scaffolding with SE(3) flow matching. CoRR abs/2401.04082 (2024) - 2023
- [c10]Phillip Lippe, Bas Veeling, Paris Perdikaris, Richard E. Turner, Johannes Brandstetter:
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers. NeurIPS 2023 - [i14]Phillip Lippe, Bastiaan S. Veeling, Paris Perdikaris, Richard E. Turner, Johannes Brandstetter:
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers. CoRR abs/2308.05732 (2023) - [i13]Marco Federici, Patrick Forré, Ryota Tomioka, Bastiaan S. Veeling:
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck. CoRR abs/2309.07200 (2023) - 2021
- [j2]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:
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. Comput. Medical Imaging Graph. 90: 101883 (2021) - [c9]Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun:
Active Deep Probabilistic Subsampling. ICML 2021: 10509-10518 - [i12]Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastiaan S. Veeling, Alexandre Schmid, Ruud J. G. van Sloun:
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities. CoRR abs/2105.12686 (2021) - 2020
- [j1]Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse, Massimo Mischi, Ruud J. G. van Sloun:
Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging. IEEE Trans. Medical Imaging 39(12): 3955-3966 (2020) - [c8]Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun:
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. ICASSP 2020: 8906-8910 - [c7]Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun:
Deep probabilistic subsampling for task-adaptive compressed sensing. ICLR 2020 - [c6]Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin:
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. ICML 2020: 9289-9299 - [c5]Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin:
How Good is the Bayes Posterior in Deep Neural Networks Really? ICML 2020: 10248-10259 - [i11]Linh Tran, Bastiaan S. Veeling, Kevin Roth, Jakub Swiatkowski, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Sebastian Nowozin, Rodolphe Jenatton:
Hydra: Preserving Ensemble Diversity for Model Distillation. CoRR abs/2001.04694 (2020) - [i10]Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin:
How Good is the Bayes Posterior in Deep Neural Networks Really? CoRR abs/2002.02405 (2020) - [i9]Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin:
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. CoRR abs/2002.02655 (2020) - [i8]Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun:
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. CoRR abs/2004.10536 (2020)
2010 – 2019
- 2019
- [c4]Shi Hu, Daniel E. Worrall, Stefan Knegt, Bas Veeling, Henkjan J. Huisman, Max Welling:
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations. MICCAI (2) 2019: 137-145 - [c3]Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling:
Putting An End to End-to-End: Gradient-Isolated Learning of Representations. NeurIPS 2019: 3033-3045 - [i7]Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling:
Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning. CoRR abs/1905.11786 (2019) - [i6]Shi Hu, Daniel E. Worrall, Stefan Knegt, Bastiaan S. Veeling, Henkjan J. Huisman, Max Welling:
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations. CoRR abs/1907.01949 (2019) - [i5]Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse, Massimo Mischi, Ruud J. G. van Sloun:
Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging. CoRR abs/1908.05764 (2019) - 2018
- [c2]Bastiaan S. Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, Max Welling:
Rotation Equivariant CNNs for Digital Pathology. MICCAI (2) 2018: 210-218 - [i4]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:
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. CoRR abs/1804.01901 (2018) - [i3]Bastiaan S. Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, Max Welling:
Rotation Equivariant CNNs for Digital Pathology. CoRR abs/1806.03962 (2018) - [i2]Jasper Linmans, Jim Winkens, Bastiaan S. Veeling, Taco S. Cohen, Max Welling:
Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks. CoRR abs/1807.00583 (2018) - [i1]Bastiaan S. Veeling, Rianne van den Berg, Max Welling:
Predictive Uncertainty through Quantization. CoRR abs/1810.05500 (2018) - 2015
- [c1]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:
Probabilistic Multileave for Online Retrieval Evaluation. SIGIR 2015: 955-958
Coauthor Index
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