News and Media

How New Machine Learning Techniques Could Improve MRI Scans

WNCG professor Jon Tamir aims to leverage machine learning techniques to make brain scans faster and more informative. He received an Amazon Machine Learning Research Award in 2020 from Amazon Web Services (AWS) to support the work.

Read More

Recent News

Jubin Jose Wins 2011 Student Leadership Award

Prof. Bovik Presents Keynote Address at IS&T/SPIE Electronic Imaging Symposium

Professor Heath and Former Student Receive Best Paper Award

Prof. Andrews Develops Breakthrough Heterogeneous Cellular Network Model

Professor Robert Heath and Former UT ECE Student Dr. Rahul Vaze Receive EURASIP 2011 Journal on Wireless Communications and Networking Best Paper Award

Janet Preuss Receives 2011 UT Austin Outstanding Staff Award

Pages

Multimedia

ML Seminar: The Role of Regularization in Overparameterized Neural Networks
Wireless ML Seminar - Learning to Learn to Communicate
ML Seminar Series - On Heterogeneity in Federated Settings
ML Seminar - On Heterogeneity in Federated Settings
ML Seminars - On the convergence of gradient descent for wide two-layer neural networks
ML Seminar: On the convergence of gradient descent for wide two-layer neural networks
ML Seminar Series - Two Facets of Learning Robust Models
ML Seminar - Two Facets of Learning Robust Models (Hamed Hassani)
ML Seminar Series - Robust Distributed Training! But at What Cost?
ML Seminar - Robust Distributed Training! But at What Cost?
ML Seminar Series - Modeling Uncertainty in Learning with Little Data
ML Seminar - Modeling Uncertainty in Learning with Little Data
David Sontag: How Hard is Inference for Structured Prediction
WNCG Seminar Series: David Sontag: How Hard is Inference for Structured Prediction