Hikaru Ibayashi is a Software Engineer at Google YouTube Ads ML. He was formerly a Research Scientist at Meta (Instagram). He holds a Ph.D. in Computer Science from USC, an M.S. in Computer Science and a B.S. in Physics from the University of Tokyo. His work focuses on the foundations of deep neural networks and physics-informed machine learning.
海外留学を考えている方へ: アメリカの大学院への進学に関して聞きたいことなどあれば、気軽にコーヒーチャットを申し込んでください。
Summary: The Allegro-Legato model enhances the robustness of the Allegro model with sharpness aware minimization, offering molecular dynamics simulation that can accommodate longer simulations.
Summary: Stochastic gradient descent (SGD) has been shown to escape from sharp minima exponentially fast even before reaching stationary distribution, providing insight into how SGD finds highly generalizable parameters from non-convex target functions, according to a recent study that uses Large Deviation Theory as a fundamental theory in dynamical systems.
Summary: Dynamically warping grids for adaptive liquid simulation provides a fast, flexible, and simple approach to combine the advantages of regular and unstructured grids, achieving practical and controllable spatial adaptivity while still taking advantage of existing highly-tuned algorithms.
I've been practicing magic since high school and have performed at several shows. This video features the "Snap Deal," a card technique created by the legendary Lennart Green.