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Thomas Hamelryck
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2020 – today
- 2024
- [j14]Jon Eklof, Thomas Hamelryck, Cadell Last, Alexander Grima, Ulrika Lundh Snis:
Abstraction, mimesis and the evolution of deep learning. AI Soc. 39(5): 2349-2357 (2024) - [c10]Jon Eklof, Ulrika Snis, Thomas Hamelryck, Alexander Grima, Ola Rønning:
AI Implementation and Capability Development in Manufacturing: An Action Research Case. HICSS 2024: 5796-5805 - 2022
- [c9]Lys Sanz Moreta, Ola Rønning, Ahmad Salim Al-Sibahi, Jotun Hein, Douglas L. Theobald, Thomas Hamelryck:
Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder. ICLR 2022 - 2021
- [c8]Christian B. Thygesen, Christian Skjødt Steenmans, Ahmad Salim Al-Sibahi, Lys Sanz Moreta, Anders Bundgård Sørensen, Thomas Hamelryck:
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model. ICML 2021: 10258-10267 - [c7]Ola Rønning, Christophe Ley, Kanti V. Mardia, Thomas Hamelryck:
Time-efficient Bayesian Inference for a (Skewed) Von Mises Distribution on the Torus in a Deep Probabilistic Programming Language. MFI 2021: 1-8 - 2020
- [c6]Lys Sanz Moreta, Ahmad Salim Al-Sibahi, Thomas Hamelryck:
Bayesian protein superposition using Hamiltonian Monte Carlo. BIBE 2020: 1-11
2010 – 2019
- 2019
- [j13]Eduardo García-Portugués, Michael Sørensen, Kanti V. Mardia, Thomas Hamelryck:
Langevin diffusions on the torus: estimation and applications. Stat. Comput. 29(1): 1-22 (2019) - [c5]Lys Sanz Moreta, Ahmad Salim Al-Sibahi, Douglas L. Theobald, William Bullock, Basile Nicolas Rommes, Andreas Manoukian, Thomas Hamelryck:
A Probabilistic Programming Approach to Protein Structure Superposition. CIBCB 2019: 1-5 - 2013
- [j12]Wouter Boomsma, Jes Frellsen, Tim Harder, Sandro Bottaro, Kristoffer E. Johansson, Pengfei Tian, Kasper Stovgaard, Christian Andreetta, Simon Olsson, Jan B. Valentin, Lubomir D. Antonov, Anders S. Christensen, Mikael Borg, Jan H. Jensen, Kresten Lindorff-Larsen, Jesper Ferkinghoff-Borg, Thomas Hamelryck:
PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure. J. Comput. Chem. 34(19): 1697-1705 (2013) - 2012
- [j11]Tim Harder, Mikael Borg, Wouter Boomsma, Peter Røgen, Thomas Hamelryck:
Fast large-scale clustering of protein structures using Gauss integrals. Bioinform. 28(4): 510-515 (2012) - [c4]Lubomir D. Antonov, Christian Andreetta, Thomas Hamelryck:
An Efficient Parallel GPU Evaluation of Small Angle X-ray Scattering Profiles. BIOINFORMATICS 2012: 102-108 - [c3]Lubomir D. Antonov, Christian Andreetta, Thomas Hamelryck:
Parallel GPGPU Evaluation of Small Angle X-Ray Scattering Profiles in a Markov Chain Monte Carlo Framework. BIOSTEC (Selected Papers) 2012: 222-235 - 2010
- [j10]Martin Paluszewski, Thomas Hamelryck:
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks. BMC Bioinform. 11: 126 (2010) - [j9]Tim Harder, Wouter Boomsma, Martin Paluszewski, Jes Frellsen, Kristoffer E. Johansson, Thomas Hamelryck:
Beyond rotamers: a generative, probabilistic model of side chains in proteins. BMC Bioinform. 11: 306 (2010) - [j8]Kasper Stovgaard, Christian Andreetta, Jesper Ferkinghoff-Borg, Thomas Hamelryck:
Calculation of accurate small angle X-ray scattering curves from coarse-grained protein models. BMC Bioinform. 11: 429 (2010)
2000 – 2009
- 2009
- [j7]Peter J. A. Cock, Tiago Antao, Jeffrey T. Chang, Brad A. Chapman, Cymon J. Cox, Andrew Dalke, Iddo Friedberg, Thomas Hamelryck, Frank Kauff, Bartek Wilczynski, Michiel J. L. de Hoon:
Biopython: freely available Python tools for computational molecular biology and bioinformatics. Bioinform. 25(11): 1422-1423 (2009) - [j6]Jes Frellsen, Ida Moltke, Martin Thiim, Kanti V. Mardia, Jesper Ferkinghoff-Borg, Thomas Hamelryck:
A Probabilistic Model of RNA Conformational Space. PLoS Comput. Biol. 5(6) (2009) - [c2]Francois Anton, Thomas Hamelryck:
The Voronoi Diagram of Half-Balls and its Application to the Prediction of the 3D Structure of Proteins. ISVD 2009: 263-264 - 2007
- [j5]Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel-Bennett, Anders Krogh:
An evolutionary method for learning HMM structure: prediction of protein secondary structure. BMC Bioinform. 8 (2007) - 2006
- [j4]Martin Paluszewski, Thomas Hamelryck, Pawel Winter:
Reconstructing protein structure from solvent exposure using tabu search. Algorithms Mol. Biol. 1 (2006) - [j3]Thomas Hamelryck, John T. Kent, Anders Krogh:
Sampling Realistic Protein Conformations Using Local Structural Bias. PLoS Comput. Biol. 2(9) (2006) - 2005
- [j2]Wouter Boomsma, Thomas Hamelryck:
Full cyclic coordinate descent: solving the protein loop closure problem in Calpha space. BMC Bioinform. 6: 159 (2005) - [c1]Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel-Bennett, Anders Krogh:
Evolving hidden Markov models for protein secondary structure prediction. Congress on Evolutionary Computation 2005: 33-40 - 2003
- [j1]Thomas Hamelryck, Bernard Manderick:
PDB file parser and structure class implemented in Python. Bioinform. 19(17): 2308-2310 (2003)
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