[IDA ML Seminar] IDA Machine Learning Seminar 24/2 - Marco Cuturi

[Fredrik Lindsten]

Welcome to the IDA Machine Learning Seminar on Wednesday, February 24, 
15:15

Marco Cuturi, Google Brain and CREST - ENSAE, Institut Polytechnique de 
Paris, France
https://marcocuturi.net/

Differentiating through Optimal Transport
Abstract:  Computing or approximating an optimal transport cost is 
rarely the sole goal when using OT in applications. In most cases this 
relies instead on approximating that plan (or its application to another 
vector) to obtain its differentiable properties w.r.t. to its input. I 
will present in this talk recent applications that highlight this 
necessity, as well as possible algorithmic and programmatic solutions to 
handle such issues.

Zoom link: 
https://liu-se.zoom.us/j/69240032654?pwd=UjVKQUhwZ1Y5UFJQYlNtMHB3S21kdz09
Meeting ID: 692 4003 2654
Passcode: 326937

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The list of future seminars in the series is available at 
http://www.ida.liu.se/research/machinelearning/seminars/.

Welcome!​
IDA Machine Learning Group
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