MADDD = Math of Data and Decisions @ UC Davis
MADDD = Math of Data and Decisions @ UC Davis
See https://sites.google.com/view/maddd
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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…
15th Joint Math/Stat Colloquium by Michael…
From Naoki Saito
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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…
14th Joint Math/Stat Colloquium by Brice Menard…
From Naoki Saito
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David Glickenstein: Discrete conformal geometry and adversarial examples of neural networks Abstract: Discrete differential geometry is a field that uses the ideas and…
MADDD seminar 2021-11-03: David Glickenstein:…
From Matthias Koeppe
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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…
abiy.tasissa.5.11
From Stefan Schonsheck
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In this talk, we offer an entirely “white box’’ interpretation of deep (convolution) networks from the perspective of data compression (and group…
yi.ma.4.13
From Stefan Schonsheck
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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…
braxton.osting.4.20
From Stefan Schonsheck
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Presentation by Prof. Caroline Uhler, Spring 2021, Math and Statistics Joint Colloquium. Causal Inference in the Light of Drug Repurposing for COVID-19…
Math Stats-Colloquium-2021-Uhler
From Jesus De Loera
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See https://sites.google.com/view/maddd/ for the details.
Samir Chowdhury: Gromov-Wasserstein Learning in a…
From Naoki Saito
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See https://sites.google.com/view/maddd/ for the details.
Guido Montufar: Optimal Transport to Independence…
From Naoki Saito
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See https://sites.google.com/view/maddd/ for the details.
Wolfgang Polonik: Multiscale Geometric Feature…
From Naoki Saito
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See https://sites.google.com/view/maddd/ for the details.
Zhi Ding: Deep Learning: Not a Simple Hammer for…
From Naoki Saito
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See https://sites.google.com/view/maddd/ for the details.
Patrick Flaherty: MAP Clustering under the…
From Naoki Saito
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See https://sites.google.com/view/maddd/home for the details.
Patrice Koehl: Finite Temperature Optimal…
From Naoki Saito
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