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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 Nottingham |
Thermodynamics of trajectories, optimal dynamics and reinforcement learning[Aud][Cam] |
| 1/16, 1:30pm | Song Mei Stanford |
Mean field dynamics of two layer/multi layer neural networks[Slides][Podcast][Aud][Cam] |
| 1/17, 10:00am | Alexander Rakhlin MIT |
Interpolation |
| 1/18, 1:30pm | Matthieu Wyart EPFL |
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 ENS & KITP |
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 EPFL & KITP |
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 Yale |
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 Harvard |
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 |
last modified 02/27/19 dme