Title: Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations Speaker: Maziar Raissi (Brown University) Abstract: A grand challenge with great opportunities is to develop a coherent framework that enables blending conservation laws, physical principles, and/or phenomenological behaviors expressed…
Title: TRIMAP: LARGE-SCALE DIMENSIONALITY REDUCTION USING TRIPLETS Speakers: Ehsan Amid and Manfred Warmuth (UCSC / visiting Google Brain) Abstract: We introduce “TriMap”; a dimensionality reduction technique based on triplet constraints that preserves the global accuracy of the data better than…
When/where: E2-215 at 12pm Presenter: Oskar Elek Title: Monte Carlo Physarum Machine: Unconventional AI for astronomy and beyond Abstract: Slime mold (Physarum Polycephallum) is a freak of the natural world that – out of decaying forest debris – builds near-optimal…
When/where: E2-215 at 12pm Presenter: Reuben Harry Cohn-Gordon (Stanford University) Title: Bayesian Models of Pragmatics for Natural Language Abstract: Emerging from work in Bayesian cognitive science and game theory, probabilistic models of pragmatic reasoning have been successful at modelling human…
Where: CfAO (we return to E2-215 next week) When: 12-1pm What: Or own David Reiman (Physics) will describe his internship over the Summer at Deep Mind. Others are encouraged to the fill the remainder of the time by describing their…
Announcing the Fall 2019 line-up of workshops by AAII. See this doc for details.
Anyone at UCSC can join the AAII Slack with this link: https://join.slack.com/t/appliedaiinstitute/signup Come on in.
Happy new academic year! We will celebrate with our first ‘seminar’. As the standard E2-215 room is needed for an interview next week, we will meet in the CfAO atrium (on the ground floor of this building on Science Hill). …
This week we will have 2 presentations from Computational Media: Speaker 1: Mahika Dubey, Graduate Student in Computational Media, UCSC Creative Coding Lab https://www.mahikadubey.com/about Title: Data Brushes: Interactive Neural Style Transfer for Data Art Abstract: We introduce in-browser applications for…
When/where: E2-215 at 12pm Presenter: Jaehoon Lee (Google Brain) Title: Everything you wanted to know about batch size (in neural net training) but were afraid to ask Abstract: Recent hardware developments have made unprecedented amounts of data parallelism available for…