AAII Seminar: September 23, 2020

When: 9am PT (with the ML Club) How: Zoom link = https://ucsc.zoom.us/j/272379932 Who: Jared Kaplan (Johns Hopkins / OpenAI) Title: “GPT-3, the most powerful language model, and neural scaling laws” The work is based on this paper: https://arxiv.org/abs/2005.14165

AAII Seminar: July 1, 2020

When: 9am PT How: Here is the Zoom link:  https://ucsc.zoom.us/j/272379932 Who: François Charton (Facebook) and Amaury Hayat (Pasitech, Rutgers) Title: “Learning maths from example with deep language models” Abstract: In this presentation we show how to use deep language models to…

AAII Seminar: June 3, 2020 at 9am PT

Presenter:  J. Xavier Prochaska (UC Santa Cruz) Title:  A Deep-ish Dive into CapsNets See mlclub.net for further details.

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…

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