open day · open day theoretical advances in deep learning monday, july 29, 2019 demir demirgil...

1
Open Day Theoretical Advances in Deep Learning Monday, July 29, 2019 Demir Demirgil Hall, Boğaziçi University Info & Registration https://imbm-dltheory.github.io/open-day/ Open Day Program 9:00-10:00 Keynote Talk: Anima Anandkumar, Caltech & NVIDIA Tackling Data Scarcity and Bias in Deep Learning 10:15-11:15 Tutorial I: Orhan Fırat, Google Neural Architectures for Text: What does practice say about the theory? 11:30-12:30 Tutorial II: Çağlar Gülçehre, DeepMind (over VC) Structure and Geometry of Neural Networks 12:30-13:30 Lunch & Reception 13:30-14:15 Lunch Seminar: Ksenia Tatarchenko, University of Geneva History of Computing and Artificial Intelligence 14:30-16:10 Crash Course I: Salih Durhan, D4C Mathematics Toolbox for Machine Learning 16:20-18:00 Crash Course II: Chiara Cammarota, King's College London Physics Toolbox for Machine Learning

Upload: others

Post on 28-Sep-2020

0 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Open Day · Open Day Theoretical Advances in Deep Learning Monday, July 29, 2019 Demir Demirgil Hall, Boğaziçi University Info & Registration Open Day Program 9:00-10:00 Keynote

Open Day Theoretical Advances in Deep Learning

Monday, July 29, 2019 Demir Demirgil Hall, Boğaziçi University

Info & Registration

https://imbm-dltheory.github.io/open-day/

Open Day Program9:00-10:00 Keynote Talk: Anima Anandkumar, Caltech & NVIDIA

Tackling Data Scarcity and Bias in Deep Learning

10:15-11:15 Tutorial I: Orhan Fırat, Google Neural Architectures for Text: What does practice say about the theory?

11:30-12:30 Tutorial II: Çağlar Gülçehre, DeepMind (over VC) Structure and Geometry of Neural Networks

12:30-13:30 Lunch & Reception

13:30-14:15 Lunch Seminar: Ksenia Tatarchenko, University of Geneva History of Computing and Artificial Intelligence

14:30-16:10 Crash Course I: Salih Durhan, D4C Mathematics Toolbox for Machine Learning

16:20-18:00 Crash Course II: Chiara Cammarota, King's College London Physics Toolbox for Machine Learning