Bastiaan S. Veeling

Joined

April 2018

Names

Bastiaan S. Veeling (Preferred)

Bastiaan Veeling

Bastiaan Sjouke Veeling

Emails

****@gmail.com (Confirmed)

****@uva.nl (Confirmed)

****@philips.com

****@google.com (Confirmed)

****@microsoft.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Research, Microsoft (research.microsoft.com)

2022 – 2023

Student Researcher

Google (google.com)

2019 – 2021

PhD student

University of Amsterdam (uva.nl)

2017 – 2021

Research Scientist

Philips Research (philips.com)

2017 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Max Welling

2017 – Present

Expertise

Self-supervised Learning

2019 – Present

Bayesian Deep Learning

2017 – Present

Histopathology

2017 – Present

Publications

Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
Marco Federici, Patrick Forré, Ryota Tomioka, Bastiaan S. Veeling
- Published: 01 Jan 2023, Last Modified: 01 Oct 2023
- CoRR 2023
- Readers: Everyone
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
Phillip Lippe, Bastiaan S. Veeling, Paris Perdikaris, Richard E. Turner, Johannes Brandstetter
- Published: 01 Jan 2023, Last Modified: 01 Oct 2023
- CoRR 2023
- Readers: Everyone
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
- 2021 (modified: 16 May 2022)
- Comput. Medical Imaging Graph. 2021
- Readers: Everyone
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities
Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastiaan S. Veeling, Alexandre Schmid, Ruud J. G. van Sloun
- 2021 (modified: 10 Nov 2022)
- CoRR 2021
- Readers: Everyone
Active Deep Probabilistic Subsampling
Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun
- Published: 01 Jan 2021, Last Modified: 10 May 2023
- ICML 2021
- Readers: Everyone
Active Deep Probabilistic Subsampling
Hans van Gorp, Iris A.M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud Van Sloun
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Dynamic Probabilistic Pruning: Training sparse networks based on stochastic and dynamic masking
Lizeth Gonzalez Carabarin, Iris A.M. Huijben, Bastiaan S. Veeling, Alexandre Schmid, Ruud Van Sloun
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Withdrawn Submission
- Readers: Everyone
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
- 2020 (modified: 26 Feb 2022)
- CoRR 2020
- Readers: Everyone
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
- 2020 (modified: 26 Feb 2022)
- ICML 2020
- Readers: Everyone
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
- 2020 (modified: 26 Feb 2022)
- ICML 2020
- Readers: Everyone

View all 38 publications

Co-Authors

View all 63 co-authors