PHYSTAT - Statistics meets ML

from Monday 9 September 2024 (02:00) to Thursday 12 September 2024 (18:00)
Imperial College London (Lecture Theatre 2, Blackett Laboratory)

        : Sessions
    /     : Talks
        : Breaks
9 Sept 2024
10 Sept 2024
11 Sept 2024
12 Sept 2024
AM
08:30
Registration (until 09:00) (Lecture Theatre 2, Blackett Laboratory)
09:00
Talks - Wouter Verkerke (Nikhef National institute for subatomic physics (NL)) (until 10:30) (Lecture Theatre 2, Blackett Laboratory)
09:00 Welcome   (Lecture Theatre 2, Blackett Laboratory)
09:15 ML in Particle Physics - Gregor Kasieczka (Hamburg University (DE))   (Lecture Theatre 2, Blackett Laboratory)
10:00 Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics - Jonas Spinner   (Lecture Theatre 2, Blackett Laboratory)
10:30
Break (until 11:00) (Lecture Theatre 2, Blackett Laboratory)
11:00
Talks - Alan Heavens (until 12:30) (Lecture Theatre 2, Blackett Laboratory)
11:00 Cosmology and machine learning - Ben Wandelt   (Lecture Theatre 2, Blackett Laboratory)
11:45 Simulation-based machine learning for gravitational-wave analysis - Maximilian Dax   (Lecture Theatre 2, Blackett Laboratory)
09:00
Talks - Daniel Mortlock (until 10:35) (Lecture Theatre 2, Blackett Laboratory)
09:00 Theoretical and Societal Topics in AI and Deep Learning for Physicists - Pierre Baldi   (Lecture Theatre 2, Blackett Laboratory)
09:45 AI Benchmarks and Science - Jeyan Thiyagalingam (Rutherford Appleton Laboratory, Science and Technology Facilities Council)   (Lecture Theatre 2, Blackett Laboratory)
10:10 Improved Weak Lensing Photometric Redshift Calibration via StratLearn and Hierarchical Modeling - Maximilian Autenrieth (Imperial College London)   (Lecture Theatre 2, Blackett Laboratory)
10:35
Break (until 11:00) (Lecture Theatre 2, Blackett Laboratory)
11:00
Talks - Olaf Behnke (Deutsches Elektronen-Synchrotron (DE)) (until 12:30) (Lecture Theatre 2, Blackett Laboratory)
11:00 Simulation-based Inference (SBI) - Aishik Ghosh (University of California Irvine (US))   (Lecture Theatre 2, Blackett Laboratory)
11:45 Extending Unfolding Methods With Machine Learning - Vinicius Mikuni (LBL)   (Lecture Theatre 2, Blackett Laboratory)
09:00
Talks - David A. van Dyk (Imperial College London) (until 10:15) (Lecture Theatre 2, Blackett Laboratory)
09:00 Model misspecification meets ML: a HEP perspective - Alexander Held (University of Wisconsin Madison (US))   (Lecture Theatre 2, Blackett Laboratory)
09:45 Learned harmonic mean estimation of the Bayesian evidence with normalizing flows - Alicja Polanska (University College London)   (Lecture Theatre 2, Blackett Laboratory)
10:15
Break (until 10:45) (Lecture Theatre 2, Blackett Laboratory)
10:45
Talks - Jason McEwen (until 12:35) (Lecture Theatre 2, Blackett Laboratory)
10:45 Interpretability in Semi-Supervised Classifier Tests for Model-Independent Searches of New Physics - Mikael Kuusela (Carnegie Mellon University (US))   (Lecture Theatre 2, Blackett Laboratory)
11:15 pop-cosmos: investigating the explainability of a high-dimensional, data-driven generative model in cosmology - Hiranya Peiris   (Lecture Theatre 2, Blackett Laboratory)
11:45 Identifying Tau Neutrinos in IceCube - Philipp Eller (Wisconsin)   (Lecture Theatre 2, Blackett Laboratory)
12:10 Conditional generation - Tobias Golling (Universite de Geneve (CH))   (Lecture Theatre 2, Blackett Laboratory)
PM
13:15
Registration (until 13:45) (Lecture Theatre 2, Blackett Laboratory)
13:45
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. - Benedikt Maier (Imperial College (GB)) (until 15:45) (Lecture Theatre 2, Blackett Laboratory)
13:45 Welcome - Louis Lyons (Imperial College (GB))   (Lecture Theatre 2, Blackett Laboratory)
14:00 Astro/Cosmology for others - Eleni Tsaprazi   (Lecture Theatre 2, Blackett Laboratory)
14:25 Particle Physics for others - Daniel Winterbottom (Imperial College (GB))   (Lecture Theatre 2, Blackett Laboratory)
15:00 Introduction to Machine Learning - Lucas Makinen (Imperial College London)   (Lecture Theatre 2, Blackett Laboratory)
15:45
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)
16:15 Types of ML in Astro/Cosmology - Dr Niall Jeffrey (University College London)   (Lecture Theatre 2, Blackett Laboratory)
16:55 Types of ML in Particle Physics - Jonathon Mark Langford (Imperial College (GB))   (Lecture Theatre 2, Blackett Laboratory)
12:30
Break (until 14:00) (Lecture Theatre 2, Blackett Laboratory)
14:00
Talks - Sergei Gleyzer (University of Alabama (US)) (until 15:30) (Lecture Theatre 2, Blackett Laboratory)
14:00 Interpretable Machine Learning for Particle Physics - Jesse Thaler (MIT/IAIFI)   (Lecture Theatre 2, Blackett Laboratory)
14:45 Understanding and mitigating failures in anomaly detection: a probabilistic perspective - Lily Zhang   (Lecture Theatre 2, Blackett Laboratory)
15:30
Break (until 16:00) (Lecture Theatre 2, Blackett Laboratory)
16:00
Talks - Robert Cousins Jr (until 18:00) (Lecture Theatre 2, Blackett Laboratory)
16:00 Statistical tests for anomaly detection at the LHC - Gaia Grosso   (Lecture Theatre 2, Blackett Laboratory)
16:45 Detecting New Physics as data anomalies at the LHC: Transitioning from small-scale toy datasets to millions of complex proton collisions - Thea Aarrestad (ETH Zurich (CH))   (Lecture Theatre 2, Blackett Laboratory)
17:10 Anomaly aware machine learning for dark matter direct detection at the DARWIN experiment - Andre Joshua Scaffidi   (Lecture Theatre 2, Blackett Laboratory)
17:35 Feldman-Cousins’ ML Cousin - Joshua Villarreal   (Lecture Theatre 2, Blackett Laboratory)
18:00
Social (until 19:15) (Lecture Theatre 2, Blackett Laboratory)
18:00 Uncertainty-aware machine learning for the LHC - Nina Elmer   (Lecture Theatre 2, Blackett Laboratory)
18:01 Generative models: their evaluation and their limitations - Samuele Grossi (Università degli studi di Genova & INFN sezione di Genova)   (Lecture Theatre 2, Blackett Laboratory)
18:02 Limits to classification performance by relating Kullback-Leibler divergence to Cohen’s Kappa - Stephen Watts   (Lecture Theatre 2, Blackett Laboratory)
18:03 Graph neural networks on the test bench in HEP applications - Emanuel Lorenz Pfeffer (KIT - Karlsruhe Institute of Technology (DE))   (Lecture Theatre 2, Blackett Laboratory)
18:04 Interpolated Likelihoods for Fast Reinterpretations - Tom Runting (Imperial College (GB))   (Lecture Theatre 2, Blackett Laboratory)
18:05 Efficient machine learning for statistical hypothesis testing - Dr Marco Letizia   (Lecture Theatre 2, Blackett Laboratory)
18:06 Integrating Explainable AI in Data Analyses of ATLAS Experiment at CERN - Joseph Carmignani (University of Liverpool (GB))   (Lecture Theatre 2, Blackett Laboratory)
18:07 Proximal Nested Sampling with Data-Driven AI Priors - Henry Aldridge (UCL)   (Lecture Theatre 2, Blackett Laboratory)
18:08 Generative models of astrophysical fields with scattering transforms on the sphere - Matt Price   (Lecture Theatre 2, Blackett Laboratory)
18:09 Advanced techniques for Simulation Based Inference in collider physics - Giovanni De Crescenzo (University of Heidelberg)   (Lecture Theatre 2, Blackett Laboratory)
18:10 SBI for wide field weak lensing - Kiyam Lin   (Lecture Theatre 2, Blackett Laboratory)
18:11 Exhaustive Symbolic Regression: Learning Astrophysics directly from Data - Harry Desmond (University of Portsmouth)   (Lecture Theatre 2, Blackett Laboratory)
18:12 Usage of weakly correlated observables for nuisance parameter fits - Lars Stietz (Hamburg University of Technology (DE))   (Lecture Theatre 2, Blackett Laboratory)
18:13 Accounting for Selection Effects in Supernova Cosmology with Simulation-Based Inference and Hierarchical Bayesian Modelling - Benjamin Boyd (University of Cambridge)   (Lecture Theatre 2, Blackett Laboratory)
18:14 COmoving Computer Acceleration (COCA): Correcting Emulation Errors for Trustworthy N-Body Simulations - 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 - Monika Machalová   (Lecture Theatre 2, Blackett Laboratory)
18:16 Accelerating High-Dimensional Cosmological Inference with COSMOPOWER - Alessio Spurio Mancini (Royal Holloway, University of London)   (Lecture Theatre 2, Blackett Laboratory)
18:17 Learning Optimal and Interpretable Summary Statistics of Galaxy Catalogs with SBI - Kai Lehman (LMU Munich)   (Lecture Theatre 2, Blackett Laboratory)
18:18 How to Unfold Top Decays - Sofia Palacios Schweitzer (Heidelberg) Tilman Plehn (Heidelberg University)   (Lecture Theatre 2, Blackett Laboratory)
18:19 Noise injection node regularization for robust learning - Noam Levi (Tel Aviv University)   (Lecture Theatre 2, Blackett Laboratory)
18:20 Modeling Smooth Backgrounds at Collider Experiments With Log Gaussian Cox Processes - Yuval Yitzhak Frid (Tel Aviv University (IL))   (Lecture Theatre 2, Blackett Laboratory)
18:21 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 Generative Unfolding - Tilman Plehn (Heidelberg University)   (Lecture Theatre 2, Blackett Laboratory)
14:25 lsbi: linear simulation based inference - Dr William Handley   (Lecture Theatre 2, Blackett Laboratory)
14:50 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
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)