MADDD = Math of Data and Decisions @ UC Davis
See https://sites.google.com/view/maddd
See https://sites.google.com/view/maddd
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From Naoki Saito May 16, 2023
This is a video recording of the 15th Joint Math/Stat Colloquium (also a part of the MADDD seminar series) by Prof. Michael Bronstein on "Physics-inspired Learning… -
From Naoki Saito April 06, 2022
This is a video recording of the 14th Joint Math/Stat Colloquium (also a part of the MADDD seminar series) by Prof. Brice Menard (Johns Hopkins Univ.) on "Data… -
From Matthias Koeppe November 03, 2021
David Glickenstein: Discrete conformal geometry and adversarial examples of neural networks Abstract: Discrete differential geometry is a field that uses the ideas and… -
From Stefan Schonsheck May 24, 2021
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From Stefan Schonsheck May 24, 2021
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From Stefan Schonsheck May 12, 2021
Abstract: Sparse Manifold clustering and embedding (SMCE) is an algorithm to cluster nonlinear manifolds using self-representation in the dictionary of data points and a… -
From Stefan Schonsheck April 22, 2021
In this talk, we offer an entirely “white box’’ interpretation of deep (convolution) networks from the perspective of data compression (and group… -
From Stefan Schonsheck April 22, 2021
Archetypal analysis is an unsupervised learning method that uses a convex polytope to summarize multivariate data. For fixed k, the method finds a convex polytope with k… -
From Jesus De Loera April 07, 2021
Presentation by Prof. Caroline Uhler, Spring 2021, Math and Statistics Joint Colloquium. Causal Inference in the Light of Drug Repurposing for COVID-19… -
From Naoki Saito December 09, 2020
See https://sites.google.com/view/maddd/ for the details. -
From Naoki Saito December 02, 2020
See https://sites.google.com/view/maddd/ for the details. -
From Naoki Saito November 25, 2020
See https://sites.google.com/view/maddd/ for the details. -
From Naoki Saito November 11, 2020
See https://sites.google.com/view/maddd/ for the details. -
From Naoki Saito November 04, 2020
See https://sites.google.com/view/maddd/ for the details. -
From Naoki Saito October 28, 2020
See https://sites.google.com/view/maddd/home for the details.