AAII Seminar: May 20, 2020

When:  9am PT How:  Zoom at https://ucsc.zoom.us/j/272379932 Title: SimCLR is a simple framework for contrastive learning of visual representations Abstract: SimCLR is a simple framework for contrastive learning of visual representations. It simplifies recently proposed contrastive self-supervised learning algorithms without…

AAII Seminar: May 6, 2020

Held Jointly with the Astrophysics Machine Learning Club — mlclub.net When/where: May 6, 2020 at 9am PT;   Zoom only — https://ucsc.zoom.us/j/272379932 Talk 1: Title: Quasar continua predictions with neural spline flows Speaker: David Reiman (UCSC) Talk 2: Title: QuasarNET…

AAII Seminar: April 8, 2020

Held Jointly with the Astrophysics Machine Learning Club — mlclub.net When/where: April 8, 2020 at 12pm PT;   Zoom only — https://ucsc.zoom.us/j/611217103 Title: Neural Networks with Euclidean Symmetry for Physical Sciences Speaker: Tess E. Schmidt (LBNL) Abstract: Neural networks are…

AAII Seminar: March 18, 2020

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…

AAII Seminar: March 4, 2020

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…

AAII Seminar: February 26th, 2020

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…

AAII Seminar: January 29th, 2020

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…

AAII Seminar: January 22, 2020

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…

AAII Seminar: January 15th at 12pm in E2-215

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:…

AAII Seminar: November 6, 2019 at 12pm

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…

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