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KITP Conference: At the Crossroad of Physics and Machine Learning
(Feb 11-15, 2019)
Coordinators: Giuseppe Carleo, Kyle Cranmer, Rose Yu, and Lenka Zdeborová

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Conference Overview | talks | PodcastXML | Schedule | PDF Schedule | Program Overview

Monday, Feb 11, 2019

Session Chair: Lenka Zdeborová (CEA Saclay)

8:50am Lars Bildsten (KITP Director) Welcome[Aud][Cam]
9:00am Andrea Montanari (Stanford) Mean Field Concepts in Machine Learning[Aud][Cam]
10:00am Florent Krzakala (ENS Paris) Statistical Physics and Machine Learning[Slides][Aud][Cam]
11:00am

Morning Break-KITP COURTYARD

11:30am Greg Ver Steeg (UCS) Exact Information Bottlenecks for Arbitrary Distributions with Echo Noise[Slides][Aud][Cam]
12:30pm

LUNCH BREAk-KITP COURTYARD

Session Chair: Kyle Cranmer (NYU)

2:00pm Chiara Cammarota (King's) Rough-glassy Landscapes from Inference to Machine Learning[Slides][Aud][Cam]
3:00pm Pratik Chaudhari (UCLA) A Picture of the Energy Landscape of Deep Neural Networks[Slides][Aud][Cam]
4:00pm

Afternoon Break-KITP COURTYARD

4:30pm Michael Bronstein (Imperial) Deep Learning on Graphs: from Astrophysics to Fake News Detection[Aud][Cam]
5:30pm

SHUTTLE TO BWSCI

Tuesday, Feb 12, 2019

Session Chair: Giuseppe Carleo (Flatiron)

9:00am Michele Parrinello (ETH Zurich) Machine Learning and Enhanced Sampling[Aud][Cam]
10:00am Kieron Burke (UC Irvine) Machine Learning in Electronic Structure: Finding Better Density Functionals than Humans do[Slides][Aud][Cam]
11:00am

Morning Break-KITP COURTYARD

11:30am Isaac Tamblyn (NRC Canada) Rubber Ducks and a Sea of Electrons - Designing Neural Networks which Incorporate Physics[Aud][Cam]
12:30pm

Lunch Break-KITP COURTYARD

2:00pm Mihai A. Petrovici (U of Bern) Computers Like Brains[Slides][Aud][Cam]
3:00pm Benjamin Wandelt (Flatiron) Bayesian Likelihood-free Inference in Cosmology and Information Maximizing Neural Networks[Slides][Aud][Cam]
4:00pm

Afternoon Break-KITP COURTYARD

4:30pm Panel Open problems[Aud][Cam]
5:30pm

RECEPTION-KITP COURTYARD

6:00pm

SPECIAL EVENTS DINNER-KITP COURTYARD

8:00pm

SHUTTLE TO BWSCI

Wednesday, Feb 13, 2019

9:00am Yashar Hezaveh (Stanford) Mapping Distant Galaxies with Machine Learning[Aud][Cam]
10:00am Fernanda Psihas (UT Austin) Successes and Perspectives of Deep Learning Applications to Neutrino Physics[Aud][Cam]
11:00am

Morning Break-KITP COURTYARD

11:30am Jaan Altosaar (Princeton) Hierarchical Variational Approximations for Physics Models
12:30pm

Lunch Break-KITP COURTYARD

2:00pm

FREE AFTERNOON-Shuttle Available to BWSCI

Thursday, Feb 14, 2019

Session Chair: Giuseppe Carleo (Flatiron)

9:00am Eun-Ah Kim (Cornell) Machine Learning Quantum Emergence[Slides][Aud][Cam]
10:00am Titus Neupert (U of Zurich) Excitations and Symmetries in Neural Network Variational Wave Functions[Aud][Cam]
11:00am

Morning Break-KITP COURTYARD

11:30am Juan Carrasquilla (Vector) Learning Quantum States with Generative Models[Aud][Cam]
12:30pm

Lunch Break-KITP COURTYARD

Session Chair: Lenka Zdeborová (CEA Saclay)

2:00pm Masoud Mohseni (Google) Learning to Learn with Quantum Neural Networks
3:00pm Andrey Lokhov (LANL) Uncovering the Behavior of Quantum Annealers with Statistical Learning[Aud][Cam]
4:00pm

Afternoon Break-KITP COURTYARD

4:30pm Panel Open problems
5:30pm

RECEPTION-KITP COURTYARD

6:00pm

SPECIAL EVENTS DINNER-KITP COURTYARD

8:00pm

SHUTTLE TO BWSCI

Friday, Feb 15, 2019

Session Chair: Rose Yu (Northeastern)

9:00am James Halverson
(Northeastern)
Machine Learning Geometry and String Theory[Slides][Aud][Cam]
10:00am Stephan Mandt (UC Irvine) Physics-inspired Machine Learning: Non-equilibrium, Perturbation Theory, and Goldstone Modes[Aud][Cam]
11:00am

Morning Break-KITP COURTYARD

11:30am Phiala Shanahan (MIT) Machine Learning for Lattice Quantum Field Theory Calculations[Slides][Aud][Cam]
12:30pm

Lunch Break-KITP COURTYARD

Session Chair: Lenka Zdeborová (CEA Saclay)

2:00pm Yasaman Bahri (Google AI) Deep Neural Networks as Gaussian Processes[Aud][Cam]
3:00pm
4:00pm

CONFERENCE END SHUTTLE TO BWSCI *Also available to SB Airport and SB Airbus, Goleta location (See Registration Desk BEFORE FRIDAY to sign up.)

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