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A Physics-Informed Deep Learning Investigation of… duration 2 minutes 51 seconds A Physics-Informed Deep Learning Investigation of… A Physics-Informed Deep Learning Investigation of Wind-Wave Interactions, Vassiliki Mancoridis, UG '24 (2986906)	A Physics-Informed Deep Learning Investigation of Wind-Wave Interactions, Vassiliki Mancoridis, UG '24 (2986906) Turbulence modeling can shed light on the physics that occurs at the boundary between ocean waves and overhead wind, which is useful in the fields of oceanography, renewable energy, weather… wind waves learning models simulation modeling wave tuning hyperparameter loss hyperparameters knowledge nets network space input equations respect model techniques From Research Princeton Research Day 2 likes 104 plays Date May 4th, 2023 Speaker Vassiliki Mancoridis, UG '24 (2986906) Department Computer Science
29March2023_SKruger duration 56 minutes 50 seconds 29March2023_SKruger 29March2023_SKruger	29March2023_SKruger likelihood machine lot process hyperparameters probability profile problem points uncertainty distribution learning effect point problems error regression student methods profiles ppplonly From PPPL Admins 0 likes 0 plays
OURSIP Intern - Adam Rebei duration 3 minutes 19 seconds OURSIP Intern - Adam Rebei OURSIP Intern - Adam Rebei	OURSIP Intern - Adam Rebei Using Neural Networks to Solve Heterogeneous Agent Macroeconomic Models Mentor: Prof. Johnathan Payne, Economics models network households solution training agent summer equations cases wealth networks computer hyperparameters model process method learning equation heterogeneity economies From our Undergraduate Research 0 likes 35 plays Date July 25th, 2022 Speaker Adam Rebei Department Office of Undergraduate Research