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Günter Klambauer

Showing results (1-10 of 35) with videos related to

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Journal of Chemical Information and Modeling|March 26, 2019
Machine Learning in Drug DiscoveryGünter Klambauer, Sepp Hochreiter, Matthias Rarey
Journal of Chemical Information and Modeling|July 19, 2024
Diverse Hits in De Novo Molecule Design: Diversity-Based Comparison of Goal-Directed GeneratorsPhilipp Renz, Sohvi Luukkonen, Günter Klambauer
Journal of Chemical Information and Modeling|April 30, 2025
MHNfs: Prompting In-Context Bioactivity Predictions for Low-Data Drug DiscoveryJohannes Schimunek, Sohvi Luukkonen, Günter Klambauer
Nucleic Acids Research|September 20, 2013
DEXUS: identifying differential expression in RNA-Seq studies with unknown conditionsGünter Klambauer, Thomas Unterthiner, Sepp Hochreiter
Journal of Chemical Information and Modeling|January 8, 2024
HyperPCM: Robust Task-Conditioned Modeling of Drug-Target InteractionsEmma Svensson, Pieter-Jan Hoedt, Sepp Hochreiter, et al.
Nature Communications|November 13, 2023
CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structuresAna Sanchez-Fernandez, Elisabeth Rumetshofer, Sepp Hochreiter, 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.
Journal of Chemical Information and Modeling|March 7, 2019
Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional NetworksMarkus Hofmarcher, Elisabeth Rumetshofer, Djork-Arné Clevert, et al.
Chemical Research in Toxicology|August 21, 2023
Introduction to the Special Issue: AI Meets ToxicologyGünter Klambauer, Djork-Arné Clevert, Imran Shah, et al.
Drug Discovery Today. Technologies|January 2, 2021
On failure modes in molecule generation and optimizationPhilipp Renz, Dries Van Rompaey, Jörg Kurt Wegner, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
Journal of Chemical Information and Modeling|March 26, 2019
Machine Learning in Drug DiscoveryGünter Klambauer, Sepp Hochreiter, Matthias Rarey
Journal of Chemical Information and Modeling|July 19, 2024
Diverse Hits in De Novo Molecule Design: Diversity-Based Comparison of Goal-Directed GeneratorsPhilipp Renz, Sohvi Luukkonen, Günter Klambauer
Journal of Chemical Information and Modeling|April 30, 2025
MHNfs: Prompting In-Context Bioactivity Predictions for Low-Data Drug DiscoveryJohannes Schimunek, Sohvi Luukkonen, Günter Klambauer
Nucleic Acids Research|September 20, 2013
DEXUS: identifying differential expression in RNA-Seq studies with unknown conditionsGünter Klambauer, Thomas Unterthiner, Sepp Hochreiter
Journal of Chemical Information and Modeling|January 8, 2024
HyperPCM: Robust Task-Conditioned Modeling of Drug-Target InteractionsEmma Svensson, Pieter-Jan Hoedt, Sepp Hochreiter, et al.
Nature Communications|November 13, 2023
CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structuresAna Sanchez-Fernandez, Elisabeth Rumetshofer, Sepp Hochreiter, 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.
Journal of Chemical Information and Modeling|March 7, 2019
Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional NetworksMarkus Hofmarcher, Elisabeth Rumetshofer, Djork-Arné Clevert, et al.
Chemical Research in Toxicology|August 21, 2023
Introduction to the Special Issue: AI Meets ToxicologyGünter Klambauer, Djork-Arné Clevert, Imran Shah, et al.
Drug Discovery Today. Technologies|January 2, 2021
On failure modes in molecule generation and optimizationPhilipp Renz, Dries Van Rompaey, Jörg Kurt Wegner, et al.
Pageof 4