Jan-Willem van de Meent
Jan-Willem van de Meent
University of Amsterdam and Northeastern University
Verified email at uva.nl - Homepage
Title
Cited by
Cited by
Year
A new approach to probabilistic programming inference
F Wood, JW Meent, V Mansinghka
Artificial Intelligence and Statistics, 1024-1032, 2014
3142014
Learning disentangled representations with semi-supervised deep generative models
S Narayanaswamy, T Paige, JW Van de Meent, A Desmaison, ...
1722018
Universal and wide shear zones in granular bulk flow
D Fenistein, JW van de Meent, M van Hecke
Physical review letters 92 (9), 094301, 2004
1632004
Empirical Bayes methods enable advanced population-level analyses of single-molecule FRET experiments
JW van de Meent, JE Bronson, CH Wiggins, RL Gonzalez Jr
Biophysical journal 106 (6), 1327-1337, 2014
1152014
Microfluidics of cytoplasmic streaming and its implications for intracellular transport
RE Goldstein, I Tuval, JW van de Meent
Proceedings of the National Academy of Sciences 105 (10), 3663-3667, 2008
1042008
Structured disentangled representations
B Esmaeili, H Wu, S Jain, A Bozkurt, N Siddharth, B Paige, DH Brooks, ...
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
100*2019
A physical perspective on cytoplasmic streaming
RE Goldstein, JW van de Meent
Interface focus 5 (4), 20150030, 2015
922015
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
S N, B Paige, JW van de Meent, A Desmaison, N Goodman, P Kohli, ...
Advances in Neural Information Processing Systems 30, 2017
87*2017
Design and implementation of probabilistic programming language anglican
D Tolpin, JW van de Meent, H Yang, F Wood
Proceedings of the 28th Symposium on the Implementation and Application of …, 2016
772016
An introduction to probabilistic programming
JW van de Meent, B Paige, H Yang, F Wood
arXiv preprint arXiv:1809.10756, 2018
692018
Core precession and global modes in granular bulk flow
D Fenistein, JW van de Meent, M van Hecke
Physical review letters 96 (11), 118001, 2006
652006
Probabilistic programming in Anglican
D Tolpin, JW van de Meent, F Wood
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
422015
Nature’s microfluidic transporter: rotational cytoplasmic streaming at high Péclet numbers
JW van de Meent, I Tuval, RE Goldstein
Physical review letters 101 (17), 178102, 2008
402008
Measurement of cytoplasmic streaming in single plant cells by magnetic resonance velocimetry
JW van de Meent, AJ Sederman, LF Gladden, RE Goldstein
Journal of Fluid Mechanics 642, 5-14, 2010
352010
Bayesian optimization for probabilistic programs
T Rainforth, TA Le, JW van de Meent, MA Osborne, F Wood
Advances in Neural Information Processing Systems 29, 280-288, 2016
312016
Black-box policy search with probabilistic programs
JW Vandemeent, B Paige, D Tolpin, F Wood
Artificial Intelligence and Statistics, 1195-1204, 2016
302016
Interacting particle markov chain monte carlo
T Rainforth, C Naesseth, F Lindsten, B Paige, JW Vandemeent, A Doucet, ...
International Conference on Machine Learning, 2616-2625, 2016
292016
Multiple LacI-mediated loops revealed by Bayesian statistics and tethered particle motion
S Johnson, JW van de Meent, R Phillips, CH Wiggins, M Lindén
Nucleic acids research 42 (16), 10265-10277, 2014
252014
Particle Gibbs with ancestor sampling for probabilistic programs
JW Meent, H Yang, V Mansinghka, F Wood
Artificial Intelligence and Statistics, 986-994, 2015
242015
Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data
JW Meent, J Bronson, F Wood, R Gonzalez Jr, C Wiggins
International Conference on Machine Learning, 361-369, 2013
242013
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