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 - Tobias Golling (Universite de Geneve (CH))   ()
9:30 AM
Invited speakers (until 12:15 PM) ()
9:30 AM Highlights of machine learning in particle physics for computer scientists - Loukas Gouskos (CERN)   ()
10:30 AM --- Coffee break ---
11:00 AM Interdisciplinary Machine Learning for Fundamental Physics - Mariel Pettee (Lawrence Berkeley National Lab. (US))   ()
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 Machine learning: bridging scale gap between the worlds of materials and particles - Andrey Ustyuzhanin   ()
11:15 AM Reduction and Closure of Dynamical Systems using Deep Learning - Qianxiao Li   ()
8:00 AM --- Breakfast ---
9:00 AM
Young Scientist Forum (until 10:00 AM) ()
9:00 AM How will AI enable autonomous particle accelerators? - Verena Kain (CERN)   ()
9:15 AM Turbo-Sim Framework - Slava Voloshinovskiy   ()
9:30 AM Accelerating graph-based tracking with symbolic regression - Nathalie Soybelman (Weizmann Institute of Science (IL))   ()
9:40 AM Masked particle modelling - Samuel Byrne Klein (Universite de Geneve (CH))   ()
9:50 AM Using transformers to calculate scattering amplitudes - Garret Merz   ()
10:10 AM --- Coffee break ---
10:30 AM
Invited speakers (until 12:10 PM) ()
10:30 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 Machine learning for the LHC Simulation Chain - Ramon Winterhalder (UC Louvain)   ()
10:15 AM --- Coffee break ---
10:45 AM Bigger data, shorter time: Real-time inference on specialised hardware for scientific discovery - Thea Aarrestad (ETH Zurich (CH)) Thea Aarrestad   ()
12:00 PM Aspects of Deep Learning in Particle Flow - Etienne Dreyer (Weizmann Institute of Science (IL)) 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 Normalizing flows, diffusion and annealing importance sampling - Alexander Matthews   ()
PM
6:00 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 6:00 PM) ()
4:00 PM End-To-End Latent Variational Diffusion Models for Unfolding LHC Events. - Alexander Shmakov (University of California Irvine (US))   ()
4:10 PM PC-Droid: Jet generation with diffusion - Mr Matthew Leigh (University of Geneva)   ()
4:20 PM Drapes: Diffusion for weak supervision - Debajyoti Sengupta (Universite de Geneve (CH))   ()
4:30 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))   ()
4:40 PM De-noising Graph Super-Resolution with Diffusion Models and Transformers - Nilotpal Kakati (Weizmann Institute of Science (IL))   ()
4:50 PM Field-Level Inference with Microcanonical Langevin Monte Carlo - Adrian Bayer (Princeton University / Simons Foundation)   ()
5:00 PM Novel Approaches for Fast Simulation in HEP using Diffusion and Graph-to-Graph Translation - Dmitrii Kobylianskii (Weizmann Institute of Science (IL))   ()
5:10 PM Precision-Machine Learning for the Matrix Element Method - Theo Heimel (Heidelberg University)   ()
5:20 PM Galaxies and Graphs - Christian Kragh Jespersen (Princeton University)   ()
5:30 PM Simulation-based Self-supervised Learning (S3L) - Benedikt Maier (KIT - Karlsruhe Institute of Technology (DE)) Jeffrey Krupa (Massachusetts Institute of Technology)   ()
5:40 PM Decorrelation using Optimal Transport - Malte Algren (Universite de Geneve (CH))   ()
5:50 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) ()
6:35 PM Are Differentiable Simulators Beneficial for Cosmological Simulation-Based Inference? - Justine Zeghal   ()
6:35 PM Cluster Scanning - Mr Ivan Oleksiyuk (UNIGE)   ()
6:35 PM Cosmic Perspectives: A Comparative Study of Image-to-Image Translation Methods with an Emphasis on Geometrical Alignment - Vitaliy Kinakh (University of Geneva)   ()
6:35 PM DeepTreeGAN: Fast Generation of High Dimensional Point Clouds - Mr Moritz Scham (Deutsches Elektronen-Synchrotron (DE))   ()
6:35 PM Diffusion-Based Separation of CMB and Dust Emission: Enabling Cosmological Inference - Dr Ruben Ohana (Flatiron Institute (CCM)) Bruno Régaldo-Saint Blancard (Flatiron Institute (CCM)) Mr David Heurtel-Depeiges (Flatiron Institute (CCM))   ()
6:35 PM Domain adaption between SKA radio mocks and cosmological simulations - Dr Philipp Denzel (Centre for Artificial Intelligence, ZHAW)   ()
6:35 PM Finding strong lens by combining DenseLens and segmentation - Bharath Chowdhary Nagam (Kapteyn Astronomical Institute)   ()
6:35 PM Learning the Reionization History from High-z Quasar Damping Wings with Simulation-based Inference - Timo Kist (Leiden Observatory)   ()
6:35 PM Machine Learning based Compression of Scientific Data - the HEP Perspective - Pratik Jawahar (University of Manchester (UK - ATLAS))   ()
6:35 PM Pay Attention to Mean Fields for Point Cloud Generation - Benno Kach (Deutsches Elektronen-Synchrotron (DE))   ()
6:35 PM Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model - Mariia Drozdova (Universite de Geneve (CH))   ()
6:35 PM Sampling high-dimensional inverse problem posteriors with neural score estimation - Mr Benjamin Remy (CEA Saclay)   ()
6:35 PM The Calorimeter Pyramid: Rethinking the design of generative calorimeter shower models - Simon Schnake (DESY / RWTH Aachen University)   ()
6:35 PM Track finding and fitting with differentiable programming - Lucrezia Rambelli (University of Genova (IT))   ()
6:35 PM TURBO: The Swiss Knife of Auto-Encoders - Guillaume Quétant (Université de Genève (CH))   ()
6:35 PM Unlocking Autonomous Telescopes through Reinforcement Learning: An Offline Framework and Insights from a Case Study - Franco Terranova (University of Pisa, Fermi National Accelerator Laboratory)   ()
6:35 PM Unsupervised and Weakly Supervised Machine Learning Enhanced Anomaly Detection in High Energy Physics - Kinga Anna Wozniak (Universite de Geneve (CH))   ()
6:35 PM Using machine learning to detect antihydrogen in free fall - Lukas Golino (Swansea University (GB))   ()
8:00 PM
Invited speakers (until 9:15 PM) ()
8:00 PM Physics-inspired learning on graphs - Michael Bronstein   ()
12:00 PM --- Lunch ---
4:30 PM
Brainstorming - CANCELLED (until 7:00 PM) ()
7:00 PM --- Dinner ---
12:10 PM --- Lunch break ---
1:10 PM
Industry-academia forum - CANCELLED (until 1:11 PM) ()
1:10 PM Industry-academia panel - CANCELLED - Michael Kagan (SLAC National Accelerator Laboratory (US)) Mariel Pettee (Lawrence Berkeley National Lab. (US)) Taco Cohen Jennifer Ngadiuba Jesse Thaler   ()
1:15 PM
Invited speakers (until 2:30 PM) ()
1:15 PM Simulation-based inference and the places it takes us - Jakob Macke   ()
2:30 PM
Invited speakers (until 7:00 PM) ()
2:30 PM Generative Models - The Key to Manipulating Implicit Distribution for Bayesian Inference - Francois Lanusse   ()
3:45 PM --- Coffee break ---
4:15 PM Strong Lensing Data Analysis in the Era of Large Sky Surveys - Laurence Levasseur   ()
5:30 PM Image Denoising - Not What You Think - Michael Elad   ()
7:00 PM --- Dinner ---
12:30 PM --- Excursion & social dinner - CANCELLED ---
12:30 PM --- Lunch break ---
2:00 PM
Invited speakers (until 6:15 PM) ()
2:00 PM Learning Image Representations Without Manual Annotations and Related Applications - Piotr Bojanowski   ()
3:15 PM --- Coffee break ---
3:45 PM Calibrated uncertainty quantification in simulator-based inference - Ann Lee (Carnegie Mellon University)   ()
5:00 PM Foundation models for science - Shirley Ho   ()
12:00 PM Conference synthesis - Kyle Cranmer   ()
1:00 PM Outro - Tobias Golling (Universite de Geneve (CH))   ()
1:05 PM --- Lunch break ---
2:35 PM --- Organized follow-up discussions ---