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Reflections on life during COVID-19, posters and notebook pages
Reflections on life during COVID-19, posters and notebook pages
Reflections on life during COVID-19, posters and notebook pages
Reflections on life during COVID-19, posters and notebook pages
Reflections on life during COVID-19, posters and notebook pages
Reflections on life during COVID-19, posters and notebook pages
Reflections on life during COVID-19, posters and notebook pages
Reflections on life during COVID-19, posters and notebook pages
Reflections on life during COVID-19, posters and notebook pages
Reflections on life during COVID-19, posters and notebook pages
Reflections on life during COVID-19, posters and notebook pages
Reflections on life during COVID-19, posters and notebook pages
Reflections on life during COVID-19, posters and notebook pages
Reflections on masking during COVID-19, posters and notebook pages
Tom Hanson on the Craft District and COVID-19
Vaccine Dreams, 2020 Hindsight poster
David Dorin
Zhemin "Shirley" Zhang
Remarks by Lee Stuart for Peace Church, Nov. 21, 2020
Interview with Erin O'Daniel
Interview with Kayla Gore
Fast Statistical and Geometric Distances Between Families of Distributions
Gradient Flows in the Wasserstein Metric: From Discrete to Continuum via Regularization
The Evolution of Basketball with Data Science
Information in Mean Field Control
Prediction with Expert Advice: A PDE Perspective on a Model Problem from Online Machine Learning
Stochastic Methods for Optimal Transport in Machine Learning Applications
Wasserstein Control of Mirror Langevin Monte Carlo
Active Learning and Optimal Experimental Design
A Fast Approach to Optimal Transport: The Back-and-forth Method
Optimal Control of Fluid Transport Networks
Streaming Computation of Optimal Weak Transport Barycenters
A PDE Interpretation of Prediction with Expert Advice
Deep Learning and Optimal Control
Mathematical Approaches to Deep Learning: Model Uncertainty, Robustness and Regularization
Natural Graph Wavelet Packets
On The Convergence of MMD GANs: A Theory via Parametric Kernelized Gradient Flows
Graphical Optimal Transport
Interview with Debbie Rose
Learned Adversarial Regularisers
Summarizing and Analyzing Data using Optimal Transport
The Quadratic Wasserstein Metric for Inverse Data Matching Problems
Concluding Remarks
Fields of Success - Stories from Math Alliance Alumni
Plenary Conversation II
Report of the Math Alliance Leadership
Active Community Detection with Maximal Expected Model Change
Plenary Conversation 1
Welcome Remarks
Machine Learning Methods for Solving High-dimensional Mean-field Game Systems