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Thomas Unterthiner

Showing results (1-10 of 8) with videos related to

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Nucleic Acids Research|September 20, 2013
DEXUS: identifying differential expression in RNA-Seq studies with unknown conditionsGünter Klambauer, Thomas Unterthiner, Sepp Hochreiter
Bioinformatics (Oxford, England)|September 9, 2017
Rectified factor networks for biclustering of omics dataDjork-Arné Clevert, Thomas Unterthiner, Gundula Povysil, et al.
Journal of Chemical Information and Modeling|August 18, 2018
Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug DiscoveryKristina Preuer, Philipp Renz, Thomas Unterthiner, et al.
Bioinformatics (Oxford, England)|June 20, 2015
Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity MapGünter Klambauer, Martin Wischenbart, Michael Mahr, et al.
BMC Bioinformatics|April 13, 2011
Detection of viral sequence fragments of HIV-1 subfamilies yet unknownThomas Unterthiner, Anne-Kathrin Schultz, Jan Bulla, et al.
Chemical Science|August 30, 2018
Large-scale comparison of machine learning methods for drug target prediction on ChEMBLAndreas Mayr, Günter Klambauer, Thomas Unterthiner, et al.
Nature|November 12, 2025
Aligning machine and human visual representations across abstraction levelsLukas Muttenthaler, Klaus Greff, Frieda Born, et al.
Science Advances|April 5, 2024
Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragmentsOliver T Unke, Martin Stöhr, Stefan Ganscha, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Nucleic Acids Research|September 20, 2013
DEXUS: identifying differential expression in RNA-Seq studies with unknown conditionsGünter Klambauer, Thomas Unterthiner, Sepp Hochreiter
Bioinformatics (Oxford, England)|September 9, 2017
Rectified factor networks for biclustering of omics dataDjork-Arné Clevert, Thomas Unterthiner, Gundula Povysil, et al.
Journal of Chemical Information and Modeling|August 18, 2018
Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug DiscoveryKristina Preuer, Philipp Renz, Thomas Unterthiner, et al.
Bioinformatics (Oxford, England)|June 20, 2015
Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity MapGünter Klambauer, Martin Wischenbart, Michael Mahr, et al.
BMC Bioinformatics|April 13, 2011
Detection of viral sequence fragments of HIV-1 subfamilies yet unknownThomas Unterthiner, Anne-Kathrin Schultz, Jan Bulla, et al.
Chemical Science|August 30, 2018
Large-scale comparison of machine learning methods for drug target prediction on ChEMBLAndreas Mayr, Günter Klambauer, Thomas Unterthiner, et al.
Nature|November 12, 2025
Aligning machine and human visual representations across abstraction levelsLukas Muttenthaler, Klaus Greff, Frieda Born, et al.
Science Advances|April 5, 2024
Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragmentsOliver T Unke, Martin Stöhr, Stefan Ganscha, et al.
Pageof 1