Geometry and Learning from Data Tutorials - IPAM

Geometry and Learning from Data Tutorials

Part of the Long Program Geometry and Learning from Data in 3D and Beyond
March 12 - 15, 2019

Schedule

All times in this Schedule are Pacific Time (PT)

Tuesday, March 12, 2019

Morning Session

08:00-08:55
Check-In/Light Breakfast (Hosted by IPAM)
08:55-09:00
Welcome & Opening Remarks: Dean Miguel García-Garibay (Dean of Physical Sciences, UCLA) and Dima Shlyakhtenko (Director, IPAM)
09:00-10:00
Michael Bronstein (Imperial College London)
Geometric deep learning for 3D shape analysis - Part 1
10:00-10:20
Break
10:20-11:20
Michael Bronstein (Imperial College London)
Geometric deep learning for 3D shape analysis - Part 2
11:20-12:00
Core Orientation with IPAM Staff

Afternoon Session

12:00-14:00
Lunch (on your own)
14:00-15:00
Tyler Maunu (Massachusetts Institute of Technology)
Robust Methods for Structured Data Problems - Part 1
15:00-15:20
Break
15:20-16:20
Tyler Maunu (Massachusetts Institute of Technology)
Robust Methods for Structured Data Problems - Part 2

Wednesday, March 13, 2019

Morning Session

08:30-09:30
Check-In/Breakfast (Hosted by IPAM)
09:30-10:30
David Xianfeng Gu (Stony Brook University)
An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) - Part 1
10:30-10:50
Break
10:50-11:50
David Xianfeng Gu (Stony Brook University)
An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) - Part 2

Afternoon Session

12:00-14:00
Lunch (on your own)
14:00-15:00
Rongjie Lai (Purdue University)
Solving Geometric PDEs on 3D Shapes and Applications - Part 1
15:00-15:20
Break
15:20-16:20
Rongjie Lai (Purdue University)
Solving Geometric PDEs on 3D Shapes and Applications - Part 2

Thursday, March 14, 2019

Morning Session

08:30-09:30
Check-In/Breakfast (Hosted by IPAM)
09:30-10:30
Guido Montufar (University of California, Los Angeles (UCLA))
Wasserstein Information Geometry for Learning from Data - Part 1
10:30-10:50
Break
10:50-11:50
Guido Montufar (University of California, Los Angeles (UCLA))
Wasserstein Information Geometry for Learning from Data - Part 2

Afternoon Session

12:00-14:00
Lunch (on your own)
14:00-15:00
Arthur Szlam (Facebook)
Neural processing with multi-hop attention
15:00-15:20
Break
15:20-16:20
Arthur Szlam (Facebook)
Datasets and models for engaging conversational agents

Friday, March 15, 2019

Morning Session

08:30-09:30
Check-In/Breakfast (Hosted by IPAM)
09:30-10:30
Laurent Younes (Johns Hopkins University)
Introduction to Metric Registration - Part 1
10:30-10:50
Break
10:50-11:50
Laurent Younes (Johns Hopkins University)
Introduction to Metric Registration - Part 2

Afternoon Session

12:00-14:00
Lunch (on your own)
14:00-15:00
Xavier Bresson (National University of Singapore)
Tutorial on Spectral and Graph ConvNets - Part 1
15:00-15:20
Break
15:20-16:20
Xavier Bresson (National University of Singapore)
Tutorial on Spectral and Graph ConvNets - Part 2
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