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08:30
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Registration
(until 09:00)
(Lecture Theatre 2, Blackett Laboratory)
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09:00
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Talks
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Wouter Verkerke
(Nikhef National institute for subatomic physics (NL))
(until 10:30)
(Lecture Theatre 2, Blackett Laboratory)
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09:00
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Welcome
(Lecture Theatre 2, Blackett Laboratory)
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09:15
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ML in Particle Physics
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Gregor Kasieczka
(Hamburg University (DE))
(Lecture Theatre 2, Blackett Laboratory)
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10:00
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Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
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Jonas Spinner
(Lecture Theatre 2, Blackett Laboratory)
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10:30
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Break
(until 11:00)
(Lecture Theatre 2, Blackett Laboratory)
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11:00
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Talks
-
Alan Heavens
(until 12:30)
(Lecture Theatre 2, Blackett Laboratory)
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11:00
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Cosmology and machine learning
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Ben Wandelt
(Lecture Theatre 2, Blackett Laboratory)
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11:45
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Simulation-based machine learning for gravitational-wave analysis
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Maximilian Dax
(Lecture Theatre 2, Blackett Laboratory)
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09:00
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Talks
-
Daniel Mortlock
(until 10:35)
(Lecture Theatre 2, Blackett Laboratory)
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09:00
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Theoretical and Societal Topics in AI and Deep Learning for Physicists
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Pierre Baldi
(Lecture Theatre 2, Blackett Laboratory)
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09:45
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AI Benchmarks and Science
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Jeyan Thiyagalingam
(Rutherford Appleton Laboratory, Science and Technology Facilities Council)
(Lecture Theatre 2, Blackett Laboratory)
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10:10
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Improved Weak Lensing Photometric Redshift Calibration via StratLearn and Hierarchical Modeling
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Maximilian Autenrieth
(Imperial College London)
(Lecture Theatre 2, Blackett Laboratory)
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10:35
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Break
(until 11:00)
(Lecture Theatre 2, Blackett Laboratory)
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11:00
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Talks
-
Olaf Behnke
(Deutsches Elektronen-Synchrotron (DE))
(until 12:30)
(Lecture Theatre 2, Blackett Laboratory)
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11:00
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Simulation-based Inference (SBI)
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Aishik Ghosh
(University of California Irvine (US))
(Lecture Theatre 2, Blackett Laboratory)
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11:45
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Extending Unfolding Methods With Machine Learning
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Vinicius Mikuni
(LBL)
(Lecture Theatre 2, Blackett Laboratory)
|
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09:00
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Talks
-
David A. van Dyk
(Imperial College London)
(until 10:15)
(Lecture Theatre 2, Blackett Laboratory)
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09:00
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Model misspecification meets ML: a HEP perspective
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Alexander Held
(University of Wisconsin Madison (US))
(Lecture Theatre 2, Blackett Laboratory)
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09:45
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Learned harmonic mean estimation of the Bayesian evidence with normalizing flows
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Alicja Polanska
(University College London)
(Lecture Theatre 2, Blackett Laboratory)
|
10:15
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Break
(until 10:45)
(Lecture Theatre 2, Blackett Laboratory)
|
10:45
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Talks
-
Jason McEwen
(until 12:35)
(Lecture Theatre 2, Blackett Laboratory)
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10:45
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Interpretability in Semi-Supervised Classifier Tests for Model-Independent Searches of New Physics
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Mikael Kuusela
(Carnegie Mellon University (US))
(Lecture Theatre 2, Blackett Laboratory)
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11:15
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pop-cosmos: investigating the explainability of a high-dimensional, data-driven generative model in cosmology
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Hiranya Peiris
(Lecture Theatre 2, Blackett Laboratory)
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11:45
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Identifying Tau Neutrinos in IceCube
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Philipp Eller
(Wisconsin)
(Lecture Theatre 2, Blackett Laboratory)
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12:10
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Conditional generation
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Tobias Golling
(Universite de Geneve (CH))
(Lecture Theatre 2, Blackett Laboratory)
|
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13:15
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Registration
(until 13:45)
(Lecture Theatre 2, Blackett Laboratory)
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13:45
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Introductory talks. These optional talks are aimed at people who feel that they would like more background introductory material, before the next 3 days' taks.
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Benedikt Maier
(Imperial College (GB))
(until 15:45)
(Lecture Theatre 2, Blackett Laboratory)
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13:45
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Welcome
-
Louis Lyons
(Imperial College (GB))
(Lecture Theatre 2, Blackett Laboratory)
|
14:00
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Astro/Cosmology for others
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Eleni Tsaprazi
(Lecture Theatre 2, Blackett Laboratory)
|
14:25
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Particle Physics for others
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Daniel Winterbottom
(Imperial College (GB))
(Lecture Theatre 2, Blackett Laboratory)
|
15:00
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Introduction to Machine Learning
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Lucas Makinen
(Imperial College London)
(Lecture Theatre 2, Blackett Laboratory)
|
15:45
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Break
(until 16:15)
(Lecture Theatre 2, Blackett Laboratory)
|
16:15
|
Introductory talks. These optional talks are aimed at people who feel that they would like more background introductory material, before the next 3 days' taks.
-
Matteo Agostini
(until 17:35)
(Lecture Theatre 2, Blackett Laboratory)
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16:15
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Types of ML in Astro/Cosmology
- Dr
Niall Jeffrey
(University College London)
(Lecture Theatre 2, Blackett Laboratory)
|
16:55
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Types of ML in Particle Physics
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Jonathon Mark Langford
(Imperial College (GB))
(Lecture Theatre 2, Blackett Laboratory)
|
|
12:30
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Break
(until 14:00)
(Lecture Theatre 2, Blackett Laboratory)
|
14:00
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Talks
-
Sergei Gleyzer
(University of Alabama (US))
(until 15:30)
(Lecture Theatre 2, Blackett Laboratory)
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14:00
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Interpretable Machine Learning for Particle Physics
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Jesse Thaler
(MIT/IAIFI)
(Lecture Theatre 2, Blackett Laboratory)
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14:45
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Understanding and mitigating failures in anomaly detection: a probabilistic perspective
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Lily Zhang
(Lecture Theatre 2, Blackett Laboratory)
|
15:30
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Break
(until 16:00)
(Lecture Theatre 2, Blackett Laboratory)
|
16:00
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Talks
-
Robert Cousins Jr
(until 18:00)
(Lecture Theatre 2, Blackett Laboratory)
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16:00
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Statistical tests for anomaly detection at the LHC
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Gaia Grosso
(Lecture Theatre 2, Blackett Laboratory)
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16:45
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Detecting New Physics as data anomalies at the LHC: Transitioning from small-scale toy datasets to millions of complex proton collisions
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Thea Aarrestad
(ETH Zurich (CH))
(Lecture Theatre 2, Blackett Laboratory)
|
17:10
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Anomaly aware machine learning for dark matter direct detection at the DARWIN experiment
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Andre Joshua Scaffidi
(Lecture Theatre 2, Blackett Laboratory)
|
17:35
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Feldman-Cousins’ ML Cousin
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Joshua Villarreal
(Lecture Theatre 2, Blackett Laboratory)
|
18:00
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Social
(until 19:15)
(Lecture Theatre 2, Blackett Laboratory)
|
18:00
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Uncertainty-aware machine learning for the LHC
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Nina Elmer
(Lecture Theatre 2, Blackett Laboratory)
|
18:01
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Generative models: their evaluation and their limitations
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Samuele Grossi
(Università degli studi di Genova & INFN sezione di Genova)
(Lecture Theatre 2, Blackett Laboratory)
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18:02
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Limits to classification performance by relating Kullback-Leibler divergence to Cohen’s Kappa
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Stephen Watts
(Lecture Theatre 2, Blackett Laboratory)
|
18:03
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Graph neural networks on the test bench in HEP applications
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Emanuel Lorenz Pfeffer
(KIT - Karlsruhe Institute of Technology (DE))
(Lecture Theatre 2, Blackett Laboratory)
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18:04
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Interpolated Likelihoods for Fast Reinterpretations
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Tom Runting
(Imperial College (GB))
(Lecture Theatre 2, Blackett Laboratory)
|
18:05
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Efficient machine learning for statistical hypothesis testing
- Dr
Marco Letizia
(Lecture Theatre 2, Blackett Laboratory)
|
18:06
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Integrating Explainable AI in Data Analyses of ATLAS Experiment at CERN
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Joseph Carmignani
(University of Liverpool (GB))
(Lecture Theatre 2, Blackett Laboratory)
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18:07
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Proximal Nested Sampling with Data-Driven AI Priors
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Henry Aldridge
(UCL)
(Lecture Theatre 2, Blackett Laboratory)
|
18:08
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Generative models of astrophysical fields with scattering transforms on the sphere
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Matt Price
(Lecture Theatre 2, Blackett Laboratory)
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18:09
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Advanced techniques for Simulation Based Inference in collider physics
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Giovanni De Crescenzo
(University of Heidelberg)
(Lecture Theatre 2, Blackett Laboratory)
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18:10
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SBI for wide field weak lensing
-
Kiyam Lin
(Lecture Theatre 2, Blackett Laboratory)
|
18:11
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Exhaustive Symbolic Regression: Learning Astrophysics directly from Data
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Harry Desmond
(University of Portsmouth)
(Lecture Theatre 2, Blackett Laboratory)
|
18:12
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Usage of weakly correlated observables for nuisance parameter fits
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Lars Stietz
(Hamburg University of Technology (DE))
(Lecture Theatre 2, Blackett Laboratory)
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18:13
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Accounting for Selection Effects in Supernova Cosmology with Simulation-Based Inference and Hierarchical Bayesian Modelling
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Benjamin Boyd
(University of Cambridge)
(Lecture Theatre 2, Blackett Laboratory)
|
18:14
|
COmoving Computer Acceleration (COCA): Correcting Emulation Errors for Trustworthy N-Body Simulations
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Deaglan Bartlett
(Institut d'Astrophysique de Paris)
(Lecture Theatre 2, Blackett Laboratory)
|
18:15
|
Application of Machine Learning Based Top Quark and Jet Tagging to Hadronic Four-Top Final States Induced by SM as well as BSM Processes
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Monika Machalová
(Lecture Theatre 2, Blackett Laboratory)
|
18:16
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Accelerating High-Dimensional Cosmological Inference with COSMOPOWER
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Alessio Spurio Mancini
(Royal Holloway, University of London)
(Lecture Theatre 2, Blackett Laboratory)
|
18:17
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Learning Optimal and Interpretable Summary Statistics of Galaxy Catalogs with SBI
-
Kai Lehman
(LMU Munich)
(Lecture Theatre 2, Blackett Laboratory)
|
18:18
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How to Unfold Top Decays
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Sofia Palacios Schweitzer
(Heidelberg)
Tilman Plehn
(Heidelberg University)
(Lecture Theatre 2, Blackett Laboratory)
|
18:19
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Noise injection node regularization for robust learning
-
Noam Levi
(Tel Aviv University)
(Lecture Theatre 2, Blackett Laboratory)
|
18:20
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Modeling Smooth Backgrounds at Collider Experiments With Log Gaussian Cox Processes
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Yuval Yitzhak Frid
(Tel Aviv University (IL))
(Lecture Theatre 2, Blackett Laboratory)
|
18:21
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Precision Machine Learning for the Matrix Element Method
-
Nathan Huetsch
(Heidelberg)
Tilman Plehn
(Heidelberg University)
(Lecture Theatre 2, Blackett Laboratory)
|
18:22
|
The Landscape of Unfolding with Machine Learning
-
Xavier Marino
(Heidelberg)
Tilman Plehn
(Heidelberg University)
(Lecture Theatre 2, Blackett Laboratory)
|
|
12:30
|
Break
(until 14:00)
(Lecture Theatre 2, Blackett Laboratory)
|
14:00
|
Talks
-
Ryan James Nichol
(UCL)
(until 16:00)
(Lecture Theatre 2, Blackett Laboratory)
|
14:00
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Generative Unfolding
-
Tilman Plehn
(Heidelberg University)
(Lecture Theatre 2, Blackett Laboratory)
|
14:25
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lsbi: linear simulation based inference
- Dr
William Handley
(Lecture Theatre 2, Blackett Laboratory)
|
14:50
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Robust signal detection with classifiers decorrelated via optimal transport
- Dr
Purvasha Chakravarti
(UCL)
(Lecture Theatre 2, Blackett Laboratory)
|
15:15
|
The statistics of deep generative models for the LHC
-
Ramon Winterhalder
(UCLouvain)
(Lecture Theatre 2, Blackett Laboratory)
|
16:00
|
Break
(until 16:30)
(Lecture Theatre 2, Blackett Laboratory)
|
16:30
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Talks
-
Glen Cowan
(Royal Holloway, University of London)
(until 18:05)
(Lecture Theatre 2, Blackett Laboratory)
|
16:30
|
Fairness Methods in Particle Physics Event Classification
-
Oliver Rieger
(Nikhef National institute for subatomic physics (NL))
(Lecture Theatre 2, Blackett Laboratory)
|
16:55
|
Systematics: Misery or Muse?
-
Kyle Stuart Cranmer
(University of Wisconsin Madison (US))
(Lecture Theatre 2, Blackett Laboratory)
|
17:40
|
Development of systematic-aware neural network trainings for binned-likelihood-analyses at the LHC
-
Artur Monsch
(KIT - Karlsruhe Institute of Technology (DE))
(Lecture Theatre 2, Blackett Laboratory)
|
19:00
|
Social
(until 21:00)
(Lecture Theatre 2, Blackett Laboratory)
|
|
12:35
|
Break
(until 14:00)
(Lecture Theatre 2, Blackett Laboratory)
|
14:00
|
Talks
-
Kaisey Mandel
(University of Cambridge)
(until 15:30)
(Lecture Theatre 2, Blackett Laboratory)
|
14:00
|
Highlights, ML
-
Gilles Louppe
Gilles Louppe
(Lecture Theatre 2, Blackett Laboratory)
|
14:45
|
Highlights, Statistics
-
Mikael Kuusela
(Carnegie Mellon University (US))
(Lecture Theatre 2, Blackett Laboratory)
|
15:30
|
Break
(until 16:00)
(Lecture Theatre 2, Blackett Laboratory)
|
16:00
|
Talks
-
Lydia Brenner
(Nikhef National institute for subatomic physics (NL))
(until 17:45)
(Lecture Theatre 2, Blackett Laboratory)
|
16:00
|
Highlights, Astro/Cosmo
-
Luisa Lucie-Smith
(Lecture Theatre 2, Blackett Laboratory)
|
16:45
|
Highlights, Particle Physics
-
Lukas Alexander Heinrich
(Technische Universitat Munchen (DE))
(Lecture Theatre 2, Blackett Laboratory)
|
17:30
|
Closing discussion
(Lecture Theatre 2, Blackett Laboratory)
|
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