Past Events

Constructing Features from Data: Geometry, Dimension Reduction, and Invariants

Data Science Seminar

Anna Little (University of Utah)

Information retrieval and LLMs

Industrial Problems Seminar

Charlie Godfrey (AKASA)

Consensus-Based Interacting Particle Systems and Mean-field PDEs for Optimization and Sampling

Data Science Seminar

Jose Carrillo (University of Oxford)

Security, Human, and Structure-Aware Machine Learning at SIFT

Industrial Problems Seminar

Drisana Iverson (SIFT)

PINNs, Pills, and Paradigms: Physics-Informed AI for Pathways, Patients, and Predictions

Data Science Seminar

Nazanin Ahmadi (Brown University)

Mathematics and AI for Government Missions in the US National Laboratories

Industrial Problems Seminar

Aaron Luttman (Pacific Northwest National Laboratory)

An Entrepreneur's Journey in Problem Solving

 Industrial Problems Seminar

Jerry Chen (Prana Q)

Adversarial training: non-local perimeter regularization

Data Science Seminar

Ryan Murray (North Carolina State University)

Connecting Machine Learning and Materials Science at 3M

Industrial Problems Seminar

Jennifer Schumacher (3M)

The Star Geometry of Regularizer Learning

Data Science Seminar

Oscar Leong (UCLA)