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Hammers & Nails 2023 - Swiss Edition

from Sunday, October 29, 2023 (9:00 AM) to Friday, November 3, 2023 (7:00 PM)
Congressi Stefano Franscini (CSF)

        : Sessions
    /     : Talks
        : Breaks
Oct 29, 2023
Oct 30, 2023
Oct 31, 2023
Nov 1, 2023
Nov 2, 2023
Nov 3, 2023
AM
8:00 AM --- Breakfast ---
9:00 AM Introduction & welcome   ()
9:30 AM
Invited speakers (until 12:15 PM) ()
9:30 AM Highlights of machine learning in particle physics for computer scientists - Johnny Raine (Universite de Geneve (CH))   ()
10:30 AM --- Coffee break ---
11:00 AM Diversity-Informed Machine Learning And Its Applications in Molecular Modeling - Adji Bousso-Dieng   ()
8:00 AM --- Breakfast ---
9:00 AM
Invited speakers (until 12:00 PM) ()
9:00 AM AI & material science - Kostya Novoselov   ()
10:00 AM --- Coffee break ---
10:30 AM From AI in material science to HEP and back - Andrey Ustyuzhanin   ()
11:15 AM Reduction and Closure of Dynamical Systems using Deep Learning - Qianxiao Li   ()
8:00 AM --- Breakfast ---
9:00 AM
Invited speakers (until 12:00 PM) ()
9:00 AM Differentiable and Probabilistic Programming in Scientific Simulators - Atılım Güneş Baydin   ()
10:15 AM --- Coffee break ---
10:40 AM The Vision of End-to-End ML models in HEP - Lukas Alexander Heinrich (Technische Universitat Munchen (DE))   ()
11:20 AM Toward Building Large HEP Models with Self-Supervised Learning - Michael Kagan (SLAC National Accelerator Laboratory (US))   ()
8:00 AM --- Breakfast ---
9:00 AM
Invited speakers (until 12:30 PM) ()
9:00 AM News from generative networks in forward and inverse simulations - Anja Butter   ()
10:15 AM --- Coffee break ---
10:45 AM Bigger data, shorter time: Real-time inference on specialised hardware for scientific discovery - Thea Aarrestad   ()
12:00 PM Aspects of Deep Learning in Particle Flow - Eilam Gross   ()
8:00 AM --- Breakfast ---
9:00 AM
Invited speakers (until 12:00 PM) ()
9:00 AM Open problems in generative models - Barnabas Poczos   ()
10:15 AM --- Coffee break ---
10:45 AM Generative Models - The Key to Manipulating Implicit Distribution for Bayesian Inference - Francois Lanusse   ()
PM
5:30 PM --- Registration & Reception ---
7:00 PM --- Dinner ---
12:15 PM --- Lunch break ---
2:00 PM
Invited speakers (until 3:15 PM) ()
2:00 PM Geometric Algebra Transformers: A Universal Architecture of Geometric Data - Taco Cohen   ()
3:15 PM --- Coffee break ---
4:00 PM
Young Scientist Forum (until 6:15 PM) ()
4:00 PM How will AI enable autonomous particle accelerators? - Verena Kain (CERN)   ()
4:15 PM End-To-End Latent Variational Diffusion Models for Unfolding LHC Events. - Alexander Shmakov (University of California Irvine (US))   ()
4:23 PM PC-Droid: Jet generation with diffusion - Mr Matthew Leigh (University of Geneva)   ()
4:31 PM Masked particle modelling - Samuel Byrne Klein (Universite de Geneve (CH))   ()
4:39 PM Drapes: Diffusion for weak supervision - Debajyoti Sengupta (Universite de Geneve (CH))   ()
4:47 PM Self-supervised learning of jets using a realistic detector simulation - Nathalie Soybelman (Weizmann Institute of Science (IL)) Etienne Dreyer (Weizmann Institute of Science (IL)) Dmitrii Kobylianskii (Weizmann Institute of Science (IL)) Nilotpal Kakati (Weizmann Institute of Science (IL)) Patrick Rieck (New York University (US))   ()
4:55 PM De-noising Graph Super-Resolution with Diffusion Models and Transformers - Nilotpal Kakati (Weizmann Institute of Science (IL))   ()
5:03 PM Field-Level Inference with Microcanonical Langevin Monte Carlo - Adrian Bayer (Princeton University / Simons Foundation)   ()
5:11 PM Accelerating graph-based tracking with symbolic regression - Nathalie Soybelman (Weizmann Institute of Science (IL))   ()
5:19 PM Novel Approaches for Fast Simulation in HEP using Diffusion and Graph-to-Graph Translation - Dmitrii Kobylianskii (Weizmann Institute of Science (IL))   ()
5:27 PM The MadNIS Reloaded – Boosting MG5aMC with Neural Networks - Theo Heimel (Heidelberg University)   ()
5:35 PM Galaxies and Graphs - Christian Kragh Jespersen (Princeton University)   ()
5:43 PM Simulation-based Self-supervised Learning (S3L) - Benedikt Maier (KIT - Karlsruhe Institute of Technology (DE))   ()
5:51 PM ATLAS fast calorimeter simulation; the necessity, success and future possibilities. - Henry Day-Hall (Czech Technical University in Prague (CZ))   ()
5:59 PM Decorrelation using Optimal Transport - Malte Algren (Universite de Geneve (CH))   ()
6:07 PM The Interplay of Machine Learning–based Resonant Anomaly Detection Methods - Radha Mastandrea (University of California, Berkeley)   ()
6:30 PM
Young Scientist Forum (until 8:00 PM) ()
8:00 PM
Invited speakers (until 9:00 PM) ()
8:00 PM Physics-inspired learning on graphs - Michael Bronstein   ()
12:00 PM --- Lunch ---
1:30 PM
Invited speakers (until 4:30 PM) ()
1:30 PM Learning Image Representations Without Manual Annotations and Related Applications - Piotr Bojanowski   ()
2:45 PM --- Coffee break ---
3:15 PM Strong Lensing Data Analysis in the Era of Large Sky Surveys - Laurence Levasseur   ()
4:30 PM
Brainstorming (until 7:00 PM) ()
7:00 PM --- Dinner ---
8:30 PM
Invited speakers (until 9:30 PM) ()
8:30 PM Foundation models for science - Shirley Ho   ()
12:00 PM --- Lunch break ---
1:30 PM
Industry-academia forum (until 2:30 PM) ()
1:30 PM Industry-academia panel - Taco Cohen Michael Bronstein Adji Bousso Dieng Jennifer Ngadiuba Jesse Thaler   ()
2:30 PM
Invited speakers (until 7:00 PM) ()
2:30 PM Normalizing flows, diffusion and annealing importance sampling - Alexander Matthews   ()
3:45 PM --- Coffee break ---
4:15 PM Calibrated uncertainty quantification in simulator-based inference - Ann Lee   ()
5:30 PM Image Denoising - Not What You Think - Michael Elad   ()
7:00 PM --- Dinner ---
8:30 PM
Invited speakers (until 9:30 PM) ()
8:30 PM Simulation-based inference and the places it takes us - Jakob Macke   ()
12:30 PM --- Lunch break ---
2:00 PM --- Excursion & social dinner ---
12:00 PM Conference synthesis - Kyle Cranmer   ()
1:00 PM --- Lunch break ---
2:30 PM --- Organized follow-up discussions ---
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