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Program

Hammers & Nails 2022 Program

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Wednesday, August 3
Time	Session/Lecture info
09:00-14:00	Morning Session
09:00-09:10	Eilam Gross , Weizmann Welcome
09:10-10:40	Maurice Weiler, University of Amsterdam Equivariant & Coordinate Independent Convolutional Neural Networks
10:40-11:10	Coffee Break
11:10-12:40	Francois Charton , Facebook AI Research Transformers - Deep Learning for symbolic math
12:45-14:00	Lunch
14:00-21:00	Afternoon Sessions
14:00-14:45	Jean-Roch Vlimant , Caltech Generative Models
14:45-15:30	Gregor Kasieczka, University of Hamburg The Ultimate Hammer: Unsupervised Learning for Generating Data and Finding Anomalies
15:30-16:00	Coffee Break
16:00-17:00	Maurizio Pierini , CERN Introducing ML in PP to CS
17:00-18:00	Tobias Gollling , University of Geneva Crash course in HEP referencing all the main challenges and exemplifying what ML is expected to bring to the table
18:30-19:00	Eilam Gross Welcome
19:00-20:00	Festive Dinner Reception Accelerator
20:00-21:00	Yoav Shoam , Stanford University, AI 21 After Dinner Talk AI today, in five years, and on fifty.

Thursday, August 4
Time	Session/Lecture info
09:00-14:00	Morning Session
09:00-10:30	Rita Osadchy, Haifa University Transformers and applications Biology
10:30-11:00	Coffee Break
11:00-12:10	David Shih, Rutgers University Anomaly detection and model-independent searches for new physics
12:10-12:30	Samuel Klein, University of Geneva CURTAIN'S
12:30-14:00	Lunch
14:00-21:00	Afternoon Sessions Physics Library
14:00-15:30	Gilles Loupe, University of Liege simulation-based inference and related topics
15:30-16:00	Coffee Break
16:00-17:00	Jonas Kohler, Freie Universitat Berlin Boltzmann generators
19:00-20:00	Druze Dinner on the grass Deck
20:00-21:00	Laure Zanna, NYU After Dinner Talk: AI for Climate Physics Physics Library

Friday, August 5
Time	Session/Lecture info
09:00-14:00	Morning Session
09:00-10:30	Mikael Kuusela, Carnegie Mellon University Optimal Transport
10:30-11:00	Coffee Break
11:00-12:00	Andrea Wulzer, University of Padua How good is the Standard Model
12:00-12:30	Gaia Grosso, CERN & University of Padua New Physics Learning Machines at Work
12:30-14:00	Lunch
14:00-21:00	Afternoon Sessions
14:00-14:30	Shikma Bressler, Weizmann Anomaly Detection - Data Driven Paradign
14:30-15:30	David Shih, Rutgers University Various applications of ML (eg normalizing flows) to astro datasets (Gaia, Nanograv, ...) of relevance to HEP
15:30-16:00	Coffee Break
16:00-17:30	Alex Bronstein, Technion Fast Nonlinear Vector Quantile Regression
17:30-20:00	Free Evening

Saturday, August 6
Time	Session/Lecture info
08:00-21:00	Day tour to Jaffa, Caesarea Maritima, and Nazareth
08:00-21:00

Sunday, August 7
Time	Session/Lecture info
09:00-14:00	Morning Session
09:00-09:45	Gary Shiu, University of Wisconsin ML in theoretical physics
09:45-10:30	Sven Krippendorf, LMU (Munich) ML in theoretical physics
10:30-11:00	Coffee Break
11:00-12:30	Francesco Di Giovanni, Twitter Graph Neural Networks through the lenses of geometry and multi-particle dynamics
12:30-14:00	Lunch
14:00-21:00	Afternoon Sessions
14:00-15:30	Savannah Thais, Princeton University Physics reconstruction with graphs and equivariance
15:30-16:00	Coffee Break
16:00-17:00	Jan Kieseler, CERN Introduction to Particle Flow (PF)
17:30-18:00	Knut Zoch , University of Geneva Anomaly Detection in jets
19:00-20:00	Dublin Pub
20:00-21:00	Elan Sasson, DSG (Data Science Group) Risk management of AI based-systems

Monday, August 8
Time	Session/Lecture info
09:00-14:00	Morning Session
09:00-10:30	Aviv Tamar, Technion Learning models of intuitive physics
10:30-11:00	Coffee Break
11:00-12:30	Nadav Cohen, Tel- Aviv University Tensor Networks and Deep Learning
12:30-14:00	Lunch
14:00-20:00	Afternoon Sessions
14:00-14:30	Etienne Dreyer, Weizmann Particle reconstruction in jets with object condensation
14:30-15:00	Francesco armando di bello, University of Genova Particle reconstruction in jets with transformers and slot attention
15:00-15:45	Nilotpal Kakati, Weizmann Particle reconstruction with recurrently learning Hypergraphs
15:45-16:15	Coffee Break
16:15-16:45	Sanmay Ganguly, University of Tokyo SuperResolution for Calorimetry with Opendata detector
17:00-17:20	Pizza & Beer
17:20-20:00	Music by the Pond & Free Evening

Tuesday, August 9
Time	Session/Lecture info
09:00-14:00	Morning Session
09:00-10:30	Yarin Gal, University of Oxford Uncertainty quantification and Bayesian NNs
10:30-11:00	Coffee Break
11:00-12:30	Andrew Wilson , NYU Myths and Reality in Bayesian Deep Learning
12:30-14:00	Lunch
14:00-21:00	Afternoon Sessions Cafe Mada
14:00-14:45	Nathalie Soybelman, Weizmann FastSimulation with GNN and Slot Attention
14:45-15:15	Adrian Pol, CERN methods for model compression for the hardware trigger
15:15-15:45	Matthew Leigh, University of Geneva Flows for Regression
15:45-16:15	Coffee Break
16:15-17:45	Miles Cranmer, Princeton University interpretable ML
19:00-20:00	Dinner Cafe Mada
20:00-21:00	Amnon Shashua , Hebrew University, Intel After Dinner Talk: The State of AI: Opportunities and Dangers Cafe Mada

Wednesday, August 10
Time	Session/Lecture info
09:00-14:00	Morning Session
09:00-09:45	Lukas Heinrich , TUM (Munich) Differentiable HEP tools
09:45-10:30	Michael Kagan , SLAC, Stanford Differentiable Programming for studying Gravitational Waves at MAGIS-100
10:30-11:00	Coffee Break
11:00-11:45	Pietro Vischia , FNRS, Universite de Louvain Mathematical and algorithmic aspects of gradient-descent-based optimization
11:45-12:30	Tommaso Dorigo, INFN, Venice Particle Physics Instruments with Differentiable Programming
12:30-14:00	Lunch
14:00-21:00	Afternoon Sessions
14:00-15:30	Siddharth Mishra-Sharma, Princeton University Variational inference and Probabilistic ML for Cosmo and Astro
15:30-16:00	Coffee Break
16:00-17:30	Kyle Cranmer , University of Wisconsin-Madison, NYU Conference Synthesis
19:00-21:00	Goldman's Court

Thursday, August 11
Time	Session/Lecture info
09:00-14:00	Morning Session
09:00-12:30	Free Morning Discussions
12:30-14:00	Falafel Lunch- Weizmann Aquarium