Thomas Hamelryck

Orcid: 0000-0003-2917-3602

According to our database1, Thomas Hamelryck authored at least 24 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Abstraction, mimesis and the evolution of deep learning.
AI Soc., October, 2024

AI Implementation and Capability Development in Manufacturing: An Action Research Case.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2022
Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Time-efficient Bayesian Inference for a (Skewed) Von Mises Distribution on the Torus in a Deep Probabilistic Programming Language.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2021

Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Bayesian protein superposition using Hamiltonian Monte Carlo.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
Langevin diffusions on the torus: estimation and applications.
Stat. Comput., 2019

A Probabilistic Programming Approach to Protein Structure Superposition.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

2013
PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure.
J. Comput. Chem., 2013

2012
Fast large-scale clustering of protein structures using Gauss integrals.
Bioinform., 2012

Parallel GPGPU Evaluation of Small Angle X-Ray Scattering Profiles in a Markov Chain Monte Carlo Framework.
Proceedings of the Biomedical Engineering Systems and Technologies, 2012

An Efficient Parallel GPU Evaluation of Small Angle X-ray Scattering Profiles.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

2010
Calculation of accurate small angle X-ray scattering curves from coarse-grained protein models.
BMC Bioinform., 2010

Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks.
BMC Bioinform., 2010

Beyond rotamers: a generative, probabilistic model of side chains in proteins.
BMC Bioinform., 2010

2009
A Probabilistic Model of RNA Conformational Space.
PLoS Comput. Biol., 2009

Biopython: freely available Python tools for computational molecular biology and bioinformatics.
Bioinform., 2009

The Voronoi Diagram of Half-Balls and its Application to the Prediction of the 3D Structure of Proteins.
Proceedings of the Sixth International Symposium on Voronoi Diagrams, 2009

2007
An evolutionary method for learning HMM structure: prediction of protein secondary structure.
BMC Bioinform., 2007

2006
Sampling Realistic Protein Conformations Using Local Structural Bias.
PLoS Comput. Biol., 2006

Reconstructing protein structure from solvent exposure using tabu search.
Algorithms Mol. Biol., 2006

2005
Full cyclic coordinate descent: solving the protein loop closure problem in C<i>alpha</i> space.
BMC Bioinform., 2005

Evolving hidden Markov models for protein secondary structure prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2003
PDB file parser and structure class implemented in Python.
Bioinform., 2003


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