Jes Frellsen
Title
Cited by
Cited by
Year
A probabilistic model of RNA conformational space
J Frellsen, I Moltke, M Thiim, KV Mardia, J Ferkinghoff-Borg, T Hamelryck
PLoS Comput Biol 5 (6), e1000406, 2009
1102009
Potentials of mean force for protein structure prediction vindicated, formalized and generalized
T Hamelryck, M Borg, M Paluszewski, J Paulsen, J Frellsen, C Andreetta, ...
PloS one 5 (11), e13714, 2010
822010
Beyond rotamers: a generative, probabilistic model of side chains in proteins
T Harder, W Boomsma, M Paluszewski, J Frellsen, KE Johansson, ...
BMC bioinformatics 11 (1), 1-13, 2010
712010
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets
PA Mattei, J Frellsen
Proceedings of the 36th International Conference on Machine Learning, PMLR …, 2019
702019
Spherical convolutions and their application in molecular modelling.
W Boomsma, J Frellsen
NIPS 2, 6, 2017
522017
Adaptable probabilistic mapping of short reads using position specific scoring matrices
P Kerpedjiev, J Frellsen, S Lindgreen, A Krogh
BMC bioinformatics 15 (1), 1-17, 2014
482014
Inference of structure ensembles of flexible biomolecules from sparse, averaged data
S Olsson, J Frellsen, W Boomsma, KV Mardia, T Hamelryck
PloS one 8 (11), e79439, 2013
472013
Asap: a framework for over-representation statistics for transcription factor binding sites
TT Marstrand, J Frellsen, I Moltke, M Thiim, E Valen, D Retelska, A Krogh
PLoS One 3 (2), e1623, 2008
462008
PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure
W Boomsma, J Frellsen, T Harder, S Bottaro, KE Johansson, P Tian, ...
Journal of computational chemistry 34 (19), 1697-1705, 2013
362013
Leveraging the exact likelihood of deep latent variable models
PA Mattei, J Frellsen
arXiv preprint arXiv:1802.04826, 2018
272018
Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts
W Boomsma, P Tian, J Frellsen, J Ferkinghoff-Borg, T Hamelryck, ...
Proceedings of the National Academy of Sciences 111 (38), 13852-13857, 2014
262014
Generative probabilistic models extend the scope of inferential structure determination
S Olsson, W Boomsma, J Frellsen, S Bottaro, T Harder, J Ferkinghoff-Borg, ...
Journal of Magnetic Resonance 213 (1), 182-186, 2011
222011
The Multivariate Generalised von Mises Distribution: Inference and Applications
AKW Navarro, J Frellsen, RE Turner
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017
17*2017
Statistics of Bivariate von Mises Distributions
KV Mardia, J Frellsen
Bayesian Methods in Structural Bioinformatics, 159-178, 2012
112012
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation
S Wiqvist, M Pierre-Alexandre, U Picchini, J Frellsen
Proceedings of the 36th International Conference on Machine Learning, PMLR …, 2019
102019
Formulation of probabilistic models of protein structure in atomic detail using the reference ratio method
JB Valentin, C Andreetta, W Boomsma, S Bottaro, J Ferkinghoff‐Borg, ...
Proteins: Structure, Function, and Bioinformatics 82 (2), 288-299, 2014
102014
Comparative study of inference methods for Bayesian nonnegative matrix factorisation
T Brouwer, J Frellsen, P Lió
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
92017
Bayesian generalised ensemble Markov chain Monte Carlo
J Frellsen, O Winther, Z Ghahramani, J Ferkinghoff-Borg
Artificial Intelligence and Statistics, 408-416, 2016
82016
Towards a General Probabilistic Model of Protein Structure: The Reference Ratio Method
J Frellsen, KV Mardia, M Borg, J Ferkinghoff-Borg, T Hamelryck
Bayesian Methods in Structural Bioinformatics, 125-134, 2012
82012
A probabilistic approach to protein structure prediction: PHAISTOS in CASP9
M Borg, K Mardia, W Boomsma, J Frellsen, T Harder, K Stovgaard, ...
LASR2009-Statistical tools for challenges in bioinformatics, 65-70, 2009
72009
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Articles 1–20