

Monday, February 5, 2018

2:00 - 2:40 Leonidas Guibas (Stanford University) Knowledge Transport Over Visual Data

4:30 - 5:30 Please note different location: Ackerman Grand Ballroom

Yann LeCun (New York University) Public Lecture: Deep Learning and the Future of Artificial Intelligence



Tuesday, February 6, 2018

9:00 - 9:40 Alán Aspuru-Guzik (Harvard University) Generative models for the inverse design of molecules and materials

2:00 - 2:40 Stéphane Mallat (École Normale Supérieure) Deep Generative Networks as Inverse Problems

4:30 - 5:30 Please note different location: Ackerman Grand Ballroom

Yann LeCun (New York University) Public Lecture: AI Breakthroughs & Obstacles to Progress, Mathematical and Otherwise



Wednesday, February 7, 2018

3:10 - 3:50 Arthur Szlam (Facebook) Composable planning with attributes

4:20 - 5:00 Yann LeCun (New York University) A Few (More) Approaches to Unsupervised Learning



Thursday, February 8, 2018

9:00 - 9:40 Sanja Fidler (University of Toronto) Teaching Machines with Humans in the Loop

10:10 - 10:50 Raquel Urtasun (University of Toronto) Deep Learning for Self-Driving Cars

2:00 - 2:40 Stefano Soatto (University of California, Los Angeles (UCLA)) Emergence Theory of Deep Learning

3:10 - 3:50 Tom Goldstein (University of Maryland) What do neural net loss functions look like?



Friday, February 9, 2018

9:00 - 9:40 Michael Bronstein (USI Lugano, Switzerland) Deep functional maps: intrinsic structured prediction for dense shape correspondence