Search for tag: "fall 2020 maddd"

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Samir Chowdhury: Gromov-Wasserstein Learning in a… duration 1 hour 0 minutes Samir Chowdhury: Gromov-Wasserstein Learning in a… Samir Chowdhury: Gromov-Wasserstein Learning in a Riemannian Framework	Samir Chowdhury: Gromov-Wasserstein Learning in a Riemannian Framework See https://sites.google.com/view/maddd/ for the details. fall 2020 maddd From Naoki Saito 0 likes 78 plays 0
Guido Montufar: Optimal Transport to Independence… duration 1 hour 12 minutes Guido Montufar: Optimal Transport to Independence… Guido Montufar: Optimal Transport to Independence Models	Guido Montufar: Optimal Transport to Independence Models See https://sites.google.com/view/maddd/ for the details. fall 2020 maddd distance model function distribution space wasserstein images linear models problem simplex image geometry solution probability perspective polytope metric optimization transport From Naoki Saito 0 likes 41 plays 0
Wolfgang Polonik: Multiscale Geometric Feature… duration 59 minutes 30 seconds Wolfgang Polonik: Multiscale Geometric Feature… Wolfgang Polonik: Multiscale Geometric Feature Extraction	Wolfgang Polonik: Multiscale Geometric Feature Extraction See https://sites.google.com/view/maddd/ for the details. fall 2020 maddd functions point depth points depths function distribution distance direction dimension cone class feature probability angle classes shape tip cones space From Naoki Saito 0 likes 89 plays 0
Zhi Ding: Deep Learning: Not a Simple Hammer for… duration 1 hour 0 minutes Zhi Ding: Deep Learning: Not a Simple Hammer for… Zhi Ding: Deep Learning: Not a Simple Hammer for Massive MIMO Wireless Communication Systems	Zhi Ding: Deep Learning: Not a Simple Hammer for Massive MIMO Wireless Communication Systems See https://sites.google.com/view/maddd/ for the details. fall 2020 maddd channel correlation feedback station base magnitude downlink csi learning channels coefficient reciprocity equipment fact compression uplink lot communication network mimo From Naoki Saito 0 likes 50 plays 0
Patrick Flaherty: MAP Clustering under the… duration 1 hour 4 minutes Patrick Flaherty: MAP Clustering under the… Patrick Flaherty: MAP Clustering under the Gaussian Mixture Model via Mixed Integer Programming	Patrick Flaherty: MAP Clustering under the Gaussian Mixture Model via Mixed Integer Programming See https://sites.google.com/view/maddd/ for the details. fall 2020 maddd kind problem things lot constraints science statistics problems courses optimization algorithm integer thing tripods department point cluster parameters model function From Naoki Saito 0 likes 27 plays 0
Cynthia Rudin: The Extremes of Interpretability:… duration 1 hour 12 minutes Cynthia Rudin: The Extremes of Interpretability:… Cynthia Rudin: The Extremes of Interpretability: Sparse Decision Trees and Scoring Systems	Cynthia Rudin: The Extremes of Interpretability: Sparse Decision Trees and Scoring Systems See https://sites.google.com/view/maddd/home for the details. fall 2020 maddd model tree problem solution trees machine problems space models objective score decision lot network point points integer algorithm thing things From Naoki Saito 0 likes 38 plays 0
Chao Wang: From telescope to computed tomography… duration 55 minutes 13 seconds Chao Wang: From telescope to computed tomography… Chao Wang: From telescope to computed tomography via sparse recovery approaches	Chao Wang: From telescope to computed tomography via sparse recovery approaches See https://sites.google.com/view/maddd/home?authuser=0 for the details. fall 2020 maddd problem point model 3d term image source imaging l1 regularization scheme l2 focus scanning space angle degree psf form alpha From Naoki Saito 0 likes 19 plays 0
Abhishek Roy: Escapting Saddle-Points Faster… duration 36 minutes 26 seconds Abhishek Roy: Escapting Saddle-Points Faster… Abhishek Roy: Escapting Saddle-Points Faster under Interpolation	Abhishek Roy: Escapting Saddle-Points Faster under Interpolation See https://sites.google.com/view/maddd/ for the details. fall 2020 maddd gradient point function minima condition descent convex epsilon interpolation access optimization saddle points rate estimator theta cases method viewpoint networks From Naoki Saito 0 likes 20 plays 0
Stefan Schonsheck: Coherence and Manifold… duration 50 minutes 0 seconds Stefan Schonsheck: Coherence and Manifold… Stefan Schonsheck: Coherence and Manifold Structures in Data (09/29/20)	Stefan Schonsheck: Coherence and Manifold Structures in Data (09/29/20) Visit https://sites.google.com/view/maddd/ for further info. fall 2020 maddd kind manifold convolution feature functions idea point network domain problem transportation surface function operation charts filter bunch eigenfunctions networks lot From Naoki Saito 0 likes 27 plays 0