My research focuses on the theoretical and algorithmic foundations of deep learning.
In particular, I am interested in mathematically analyzing aspects of expressiveness, optimization and generalization, with the goal of deriving theoretically founded procedures and algorithms that will improve practical performance.
NeurIPS 2019 (Vancouver, Canada): [video|slides]
AI Week 2019 (Tel Aviv, Israel): [video|slides]
CECAM Workshop on Quantum Computing and Quantum Chemistry 2019 (Tel Aviv, Israel): [slides]
Simons Institute Workshop on Frontiers of Deep Learning 2019 (Berkeley, CA, USA): [video|slides]
ICERM Workshop on Theory and Practice in Machine Learning and Computer Vision 2019 (Providence, RI, USA): [video|slides]
ICML 2018 (Stockholm, Sweden): [video|slides]
ICLR 2018 (Vancouver, Canada): [video|slides]
Symposium on the Mathematical Theory of Deep Neural Networks 2018 (Princeton, NJ, USA): [video|slides]
Symposium on Physics and Machine Learning 2017 (New York City, NY, USA): [slides]
Mathematics of Deep Learning Workshop 2017 (Berlin, Germany): [slides]
AAAI Spring Symposium Series 2017 (Palo Alto, CA, USA): [slides]
CVPR 2017 (Honolulu, HI, USA): [slides]
GAMM 2017 (Weimar, Germany): [slides]
NIPS 2016 (Barcelona, Spain): [slides]
ICML 2016 (New York City, NY, USA): [video|slides]
COLT 2016 (New York City, NY, USA): [video|slides]