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Speaker List

Displaying 35 speakers out of 35
ADAM COOGAN (GRAPPA, Amsterdam)
Strong Gravitational Lensing and ML: Methodology
ATILIM GÜNEŞ BAYDIN (University of Oxford))
Probabilistic Programming and Inference in Particle Physics
BARRY DILLON (Jozef Stefan Institute, Ljubljana)
Tagging jets with LDA topic models
BRYAN OSTDIEK (University of Oregon)
Using machine learning to unlock Gaia's full potential to determine the dark matter halo
BRYAN ZALDIVAR MONTERO (IFT, Madrid)
Noisy-input classification of Fermi-LAT unidentified point-like sources
CARLOS ARGÜELLES (UNLP & CONICET)
Elementary particle based models for Dark Matter on galaxy scales
CATERINA DOGLIONI (Lund University)
Searches for DM at the Large Hadron Collider
CHARANJIT KAUR & MICHAEL SOUGHTON (University of Sussex)
Collider searches for Dark Matter at LHC using machine learning
CHRISTOPH WENIGER (GRAPPA, Amsterdam)
New data challenge on deep probabilistic programming
DANIEL NIETO (Universidad Complutense de Madrid)
ML and cosmic ray shower reconstruction with CTA
DANILO J. REZENDE (DeepMind, London)
Deep Generative Models: Foundations, applications and open problems (Video Call)
DAVID SHIH (Rutgers University)
Boosting New Physics Searches with Machine Learning
EKATERINA KARUKES (CAMK/AstroCeNT, Warsaw)
Bayesian reconstruction of the Milky Way dark matter distribution
ERZSÉBET MERÉNYI (Rice University)
Magnifying (unknown) rare clusters to increase the chance of detection, using unsupervised learning
GILLES LOUPPE (University of Liège)
IFPU lectures - Elements of ML (= statistical learning) theory
IFPU lectures - Neural networks (from logistic regression to deep networks)
GUÐLAUGUR JÓHANNESSON (University of Iceland)
Fermi-LAT sky
JAEHOON LEE (Google Brain)
Gaussian processes and deep learning (Video Call)
JELLE AALBERS (Stockholm University)
Overview of direct detection challenges
JOERI HERMANS (University of Liège)
Likelihood-free Markov chain Monte Carlo with Approximate Likelihood Ratios
JOHANN COHEN-TANUGI (University of Montpellier)
Overview of the LSST DM program
JOSUE MOLINA RODRIGUEZ (Universidad Zamorano)
Search for patterns in physics: from particles to dark matter
LUC HENDRIKS (Radboud University)
Variational Autoencoders
MARCO CHIANESE (GRAPPA, Amsterdam)
Strong Gravitational Lensing Systems with Machine Learning: first results on Dark Matter substructures
MARTIN WHITE (University of Adelaide)
Recent results from the GAMBIT collaboration
MIHAEL PETAC (SISSA)
Search for dark substructure in Gaia stellar field using CNN
NIKITA MORIAKOV (Radboud University Medical Center)
Computer vision
OLENA FEDOROVA (University of Kyiv)
Determining the dark matter clumps parameters from strong gravitational microlensing events
PASQUALE SERPICO (LAPTH, Annecy)
Overview of indirect DM search challenges
RAJAT THOMAS (University of Amsterdam)
Probabilistic programming
ROBERTO TROTTA (Imperial College, London)
Bayesian Tools for Dark Matter Searches
SALVATORE MANGANO (Universidad Politécnica de Madrid)
DM & CTA
SIMONA VEGETTI (Max Planck Institute for Astrophysics)
DM and gravitational lensing
SYDNEY OTTEN (Radboud University)
Event Generation with Deep Generative Models
TORSTEN ENSSLIN (Max Planck Institute for Astrophysics)
Information field theory
YING-YING LI (Hong Kong U. of Science and Tech.)
An application of unsupervised learning method in HEP data analysis

Organizers

Andrea De Simone (SISSA), Piero Ullio (SISSA), Gabrijela Zaharijas (CAC/UNG), Local Organiser: Paolo Creminelli

Co-sponsors