Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Costas Bekas

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|May 21, 2014
Changing computing paradigms towards power efficiencyPavel Klavík, A Cristiano I Malossi, Costas Bekas, et al.
Chemical Science|August 10, 2018
"Found in Translation": predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence modelsPhilippe Schwaller, Théophile Gaudin, Dávid Lányi, et al.
ACS Central Science|October 2, 2019
Molecular Transformer: A Model for Uncertainty-Calibrated Chemical Reaction PredictionPhilippe Schwaller, Teodoro Laino, Théophile Gaudin, et al.
Chemical Science|June 14, 2021
Predicting retrosynthetic pathways using transformer-based models and a hyper-graph exploration strategyPhilippe Schwaller, Riccardo Petraglia, Valerio Zullo, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|May 21, 2014
Changing computing paradigms towards power efficiencyPavel Klavík, A Cristiano I Malossi, Costas Bekas, et al.
Chemical Science|August 10, 2018
"Found in Translation": predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence modelsPhilippe Schwaller, Théophile Gaudin, Dávid Lányi, et al.
ACS Central Science|October 2, 2019
Molecular Transformer: A Model for Uncertainty-Calibrated Chemical Reaction PredictionPhilippe Schwaller, Teodoro Laino, Théophile Gaudin, et al.
Chemical Science|June 14, 2021
Predicting retrosynthetic pathways using transformer-based models and a hyper-graph exploration strategyPhilippe Schwaller, Riccardo Petraglia, Valerio Zullo, et al.
Pageof 1