Sotabase

Career

· Associate Professor (Universitair Hoofddocent), University of Amsterdam2021–
· Assistant Professor, Northeastern University2016–2023
· Postdoctoral Research Assistant, University of Oxford2013–2016
· Postdoctoral Research Fellow, Columbia University2011–2013
· PhD Student, Leiden University / University of Cambridge

Publications (76)

Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Neural Information Processing Systems · 2017
374
cited
A New Approach to Probabilistic Programming Inference
International Conference on Artificial Intelligence and Statistics · 2014
353
cited
An Introduction to Probabilistic Programming
arXiv.org · 2018
218
cited
Structured Disentangled Representations
International Conference on Artificial Intelligence and Statistics · 2018
177
cited
Design and Implementation of Probabilistic Programming Language Anglican
International Symposium on Implementation and Application of Functional Languages · 2016
114
cited
Enhancing Few-Shot Image Classification with Unlabelled Examples
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2020
61
cited
Probabilistic Programming in Anglican
ECML/PKDD · 2015
55
cited
Variational Flow Matching for Graph Generation
Neural Information Processing Systems · 2024
43
cited
A Variational Perspective on Generative Flow Networks
Trans. Mach. Learn. Res. · 2022
41
cited
Measurement of cytoplasmic streaming in single plant cells by magnetic resonance velocimetry
Journal of Fluid Mechanics · 2009
41
cited
Interacting Particle Markov Chain Monte Carlo
International Conference on Machine Learning · 2016
34
cited
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
Conference on Empirical Methods in Natural Language Processing · 2018
33
cited
Particle Gibbs with Ancestor Sampling for Probabilistic Programs
International Conference on Artificial Intelligence and Statistics · 2015
33
cited
Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data
International Conference on Machine Learning · 2013
31
cited
Bayesian Optimization for Probabilistic Programs
Neural Information Processing Systems · 2017
30
cited
Black-Box Policy Search with Probabilistic Programs
International Conference on Artificial Intelligence and Statistics · 2015
24
cited
Disentangling Representations of Text by Masking Transformers
Conference on Empirical Methods in Natural Language Processing · 2021
23
cited
Hierarchical Disentangled Representations
arXiv.org · 2018
22
cited
One-shot Imitation Learning via Interaction Warping
Conference on Robot Learning · 2023
22
cited
Stylistic Clusters and the Syrian/South Syrian Tradition of First-Millennium BCE Levantine Ivory Carving: A Machine Learning Approach
2014
22
cited
Sotabase
Jan-Willem van de Meent | Researcher Profile | Sotabase | Sotabase