KITP Program: The Rough High-Dimensional Landscape Problem
(Jan 7 - Mar 1, 2019)
Coordinators: Giulio Biroli, Chiara Cammarota, Patrick Charbonneau, and Andrea Montanari
Scientific Advisors: GĂ©rard Ben Arous, Jean-Philippe Bouchaud, David Donoho, and Daniel S. Fisher

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Time Speaker Title
01/07-11 Conference: Rough Landscapes: From Physics to Algorithms
1/14, 2:00pm All Participants Open problems, discussion, brainstorming
1/15, 10:00am Juan Pedro Garrahan
Thermodynamics of trajectories, optimal dynamics and reinforcement learning[Aud][Cam]
1/16, 1:30pm Song Mei
Mean field dynamics of two layer/multi layer neural networks[Slides][Podcast][Aud][Cam]
1/17, 10:00am Alexander Rakhlin
1/18, 1:30pm Matthieu Wyart
Discussion: Neural Tangent Kernel and generalisation in overparametrised deep nets[Slides][Podcast][Aud][Cam]
1/21, 2:00pm All Participants TBA
1/22, 10:00am Florent Krzakala
Selected review of 30 years of physics research on artificial neural networks[Podcast][Aud][Cam]
1/23, 1:30pm All Participants TBA
1/24, 10:00am Levent Sagun
An overview of empirical studies in neural networks[Slides][Podcast][Aud][Cam]
1/25, 1:30pm Patrick Charbonneau
(Duke Univ. & KITP)
Grzegorz Szamel
(Colorado State Univ. & KITP)
Some Steps Towards Cracking the Dynamics of the Glass Problem[Slides][Podcast][Aud][Cam]
01/28 12:15pm Giulio Biroli
ENS Paris & KITP
The many facets of the rough high-dimensional landscape problem[Podcast][Aud][Cam]
KITP Blackboard Lunch
1/28, 2:00pm All Participants Organizational meet & greet
1/29, 10:00am Marco Baity-Jesi
(Columbia Univ. & KITP)
Chiara Cammarota
(King's College London & KITP)
Activated Dynamics in High-Dimensional Rugged Landscapes[Slides][Podcast][Aud][Cam]
01/30 7:00pm Marc Mézard
ENS Paris & KITP
Artificial intelligence: success, limits, myths and threats [Podcast][Aud][Cam]
KITP Public Lecture
1/31, 11:00am Maciej Koch Janusz
ETH Zurich & KITP
Information theory, machine learning and real space RG
2/01, 1:30pm Roberto Imbuzeiro M. F. de Oliveira
IMPA, Brazil & KITP
Mean-field limit for certain deep neural networks[Podcast][Aud][Cam]
2/04, 2:00pm All Participants Organizational meet & greet
2/05, 10:00am Carlo Lucibello
Bocconi University & KITP
Energy Landscapes and Algorithms in Neural Networks[Slides][Podcast][Aud][Cam]
2/06, 1:30pm All Participants TBA
2/07, 10:00am Corey O'Hern
The origin of the jamming critical exponents[Slides][Podcast][Aud][Cam]
2/08, 1:30pm Henry D. Pfister
Duke University & KITP
A few experiences with Machine Learning[Podcast][Aud][Cam]
2/11, 1:00pm All Participants Meet & Greet
2/13, 1:30pm Aukosh Jagannath
Dynamics in random landscapes: from spin glasses to inference[Podcast][Aud][Cam]
2/15, 12:00pm Andrea Montanari
Stanford & KITP
Informal considerations on optimality of AMP
2/19, 10:00am Jorge Kurchan
ENS Paris & KITP
Six lessons we learned from glass dynamics
2/20, 1:30pm Valentina Ros
ENS Paris & KITP
Computing the complexity: Kac-Rice and replicas, a comparison[Podcast][Aud][Cam]
2/21, 10:00am Antonio Auffinger
Northwestern University & KITP
Energy landscapes of mean field spin glass models.[Podcast][Aud][Cam]
2/22, 1:30pm All Participants Brainstorming and Open Problems session on Rough Landscapes and Dynamics
2/25, 2:00pm All Participants Discussion
2/27, 1:30pm Andrey Lokhov
Los Alamos National Laboratory & KITP
Learning of discrete graphical models[Podcast][Aud][Cam]
2/28, 10:00am Sebastian Goldt
IPhT CEA Saclay & KITP
Generalisation dynamics of online learning in over-parameterised neural networks[Podcast][Aud][Cam]
2/28, 4:00pm All Participants What's next? Brainstorming and Discussions
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