When/where: March 18, 2020 at 12pm PT;   Zoom only — https://ucsc.zoom.us/j/562952785 Title: Deep Learning for Predicting Domain Prices Speaker: Jason Ansel, Distinguished Engineer at GoDaddy Learn how GoDaddy uses neural networks to predict the price of a domain name…

When/where: 12pm/E2-215 (pizza will be provided!) Presenter: Erica Rutter (UC Merced; Applied Math) Title: Methods for Few-Shot Biomedical Image Segmentation and Learning Equations from Data Abstract: Machine learning methods have had a powerful impact in the field of biomedical image…

When/where: 12pm/E2-215 (pizza will be provided!) Presenter: Vanessa Boehm (LBNL) Title:  The powers and pitfalls of deep generative models in scientific applications Abstract: Of all machine learning methods generative models are particularly interesting for scientific applications because of their probabilistic…

Where/when:  E2-215  (pizza will be provided!) Presenter:  David Shih (Rutgers University) Title: “New Approaches to Anomaly Detection Inspired by High Energy Physics” Abstract: With an enormous and complex dataset, and the ability to cheaply generate realistic simulations, the Large Hadron…

When/Where:   E2-215 at 12pm on January 22nd, 2020 Presenter:   Ioannis “Yianni” Anastopoulos  (UC Santa Cruz) Title: Generalizing Drug Response from Cell Lines to Patients Abstract: Cancer treatment poses a unique challenge in part due to the heterogeneous nature of the…

We kick off the New Year with a seminar by at 12pm in E2-215 or by Zoom given by: Speaker:  Rich Caruana (Microsoft) on Title: Friends Don’t Let Friends Use Black-Box Models: The Importance of Interpretability in Machine Learning Abstract:…

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…

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