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

Peter Battaglia

Showing results (1-10 of 13) with videos related to

Pageof 2
Sort By:
Nature Human Behaviour|July 11, 2022
Intuitive physics learning in a deep-learning model inspired by developmental psychologyLuis S Piloto, Ari Weinstein, Peter Battaglia, et al.
Nature Human Behaviour|July 21, 2022
Publisher Correction: Intuitive physics learning in a deep-learning model inspired by developmental psychologyLuis S Piloto, Ari Weinstein, Peter Battaglia, et al.
Plos Computational Biology|July 23, 2019
Modeling human intuitions about liquid flow with particle-based simulationChristopher J Bates, Ilker Yildirim, Joshua B Tenenbaum, et al.
Trends in Cognitive Sciences|June 29, 2017
Mind Games: Game Engines as an Architecture for Intuitive PhysicsTomer D Ullman, Elizabeth Spelke, Peter Battaglia, et al.
Plos One|July 27, 2010
Human wagering behavior depends on opponents' facesErik J Schlicht, Shinsuke Shimojo, Colin F Camerer, et al.
Cognition|July 7, 2017
Dissociating intuitive physics from intuitive psychology: Evidence from Williams syndromeFrederik S Kamps, Joshua B Julian, Peter Battaglia, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 2, 2021
A Bayesian neural network predicts the dissolution of compact planetary systemsMiles Cranmer, Daniel Tamayo, Hanno Rein, et al.
Nature|December 5, 2024
Probabilistic weather forecasting with machine learningIlan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, et al.
Nature|December 2, 2021
Advancing mathematics by guiding human intuition with AIAlex Davies, Petar Veličković, Lars Buesing, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 18, 2020
Predicting the long-term stability of compact multiplanet systemsDaniel Tamayo, Miles Cranmer, Samuel Hadden, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Nature Human Behaviour|July 11, 2022
Intuitive physics learning in a deep-learning model inspired by developmental psychologyLuis S Piloto, Ari Weinstein, Peter Battaglia, et al.
Nature Human Behaviour|July 21, 2022
Publisher Correction: Intuitive physics learning in a deep-learning model inspired by developmental psychologyLuis S Piloto, Ari Weinstein, Peter Battaglia, et al.
Plos Computational Biology|July 23, 2019
Modeling human intuitions about liquid flow with particle-based simulationChristopher J Bates, Ilker Yildirim, Joshua B Tenenbaum, et al.
Trends in Cognitive Sciences|June 29, 2017
Mind Games: Game Engines as an Architecture for Intuitive PhysicsTomer D Ullman, Elizabeth Spelke, Peter Battaglia, et al.
Plos One|July 27, 2010
Human wagering behavior depends on opponents' facesErik J Schlicht, Shinsuke Shimojo, Colin F Camerer, et al.
Cognition|July 7, 2017
Dissociating intuitive physics from intuitive psychology: Evidence from Williams syndromeFrederik S Kamps, Joshua B Julian, Peter Battaglia, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 2, 2021
A Bayesian neural network predicts the dissolution of compact planetary systemsMiles Cranmer, Daniel Tamayo, Hanno Rein, et al.
Nature|December 5, 2024
Probabilistic weather forecasting with machine learningIlan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, et al.
Nature|December 2, 2021
Advancing mathematics by guiding human intuition with AIAlex Davies, Petar Veličković, Lars Buesing, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 18, 2020
Predicting the long-term stability of compact multiplanet systemsDaniel Tamayo, Miles Cranmer, Samuel Hadden, et al.
Pageof 2