Machine learning (ML)
Publications
-
Interpolating amplitudes
by Víctor Bresó-Pla, Gudrun Heinrich, Vitaly Magerya, Anton Olsson,
SciPost Phys. 19, 123 (2025) -
Learning selection cuts with gradients
by Mike Hance, Juan Robles,
SciPost Phys. Core 8, 079 (2025) -
Accurate surrogate amplitudes with calibrated uncertainties
by Henning Bahl, Nina Elmer, Luigi Favaro, Manuel Haußmann, Tilman Plehn, Ramon Winterhalder,
SciPost Phys. Core 8, 073 (2025) -
A Lorentz-equivariant transformer for all of the LHC
by Johann Brehmer, Víctor Bresó, Pim de Haan, Tilman Plehn, Huilin Qu, Jonas Spinner, Jesse Thaler,
SciPost Phys. 19, 108 (2025) -
Simplified derivations for high-dimensional convex learning problems
by David G. Clark, Haim Sompolinsky,
SciPost Phys. Lect. Notes 105 (2025) -
TorchGDM: A GPU-accelerated Python toolkit for multi-scale electromagnetic scattering with automatic differentiation
by Sofia Ponomareva, Adelin Patoux, Clément Majorel, Antoine Azéma, Aurélien Cuche, Christian Girard, Arnaud Arbouet, Peter R. Wiecha,
SciPost Phys. Codebases 60 (2025) -
Codebase release 0.56 for TorchGDM
by Sofia Ponomareva, Adelin Patoux, Clément Majorel, Antoine Azéma, Aurélien Cuche, Christian Girard, Arnaud Arbouet, Peter R. Wiecha,
SciPost Phys. Codebases 60-r0.56 (2025) -
Post-hoc reweighting of hadron production in the Lund string model
by Benoît Assi, Christan Bierlich, Philip Ilten, Tony Menzo, Stephen Mrenna, Manuel Szewc, Michael K. Wilkinson, Ahmed Youssef, Jure Zupan,
SciPost Phys. 19, 104 (2025) -
Bayesian active search on parameter space: A 95 GeV spin-0 resonance in the ($B-L$)SSM
by Mauricio A. Diaz, Giorgio Cerro, Srinandan Dasmahapatra, Stefano Moretti,
SciPost Phys. Core 8, 068 (2025) -
Advancing tools for simulation-based inference
by Henning Bahl, Victor Bresó-Pla, Giovanni De Crescenzo, Tilman Plehn,
SciPost Phys. Core 8, 060 (2025) -
Super-resolving normalising flows for lattice field theories
by Marc Bauer, Renzo Kapust, Jan Martin Pawlowski, Finn Leon Temmen,
SciPost Phys. 19, 077 (2025) -
Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics
by Rodrigo Carmo Terin,
SciPost Phys. Core 8, 054 (2025) -
How to unfold top decays
by Luigi Favaro, Roman Kogler, Alexander Paasch, Sofia Palacios Schweitzer, Tilman Plehn, Dennis Schwarz,
SciPost Phys. Core 8, 053 (2025) -
Reconstructing hadronically decaying tau leptons with a jet foundation model
by Laurits Tani, Joosep Pata, Joschka Birk,
SciPost Phys. Core 8, 046 (2025) -
Introduction to the usage of open data from the Large Hadron Collider for computer scientists in the context of machine learning
by Timo Saala, Matthias Schott,
SciPost Phys. Lect. Notes 96 (2025) -
Generative unfolding with distribution mapping
by Anja Butter, Sascha Diefenbacher, Nathan Huetsch, Vinicius Mikuni, Benjamin Nachman, Sofia Palacios Schweitzer, Tilman Plehn,
SciPost Phys. 18, 200 (2025) -
MACK: Mismodeling addressed with contrastive knowledge
by Liam Rankin Sheldon, Dylan Sheldon Rankin, Philip Harris,
SciPost Phys. 18, 150 (2025) -
Systematically constructing the likelihood for boosted $H\to gg$ decays
by Andrew J. Larkoski,
SciPost Phys. 18, 130 (2025) -
Scaling laws in jet classification
by Joshua Batson, Yonatan Kahn,
SciPost Phys. Core 8, 034 (2025) -
Identifying quantum phase transitions with minimal prior knowledge by unsupervised learning
by Mohamad Ali Marashli, Ho Lai Henry Lam, Hamam Mokayed, Fredrik Sandin, Marcus Liwicki, Ho-Kin Tang, Wing Chi Yu,
SciPost Phys. Core 8, 029 (2025) -
The landscape of unfolding with machine learning
by Nathan Huetsch, Javier Mariño Villadamigo, Alexander Shmakov, Sascha Diefenbacher, Vinicius Mikuni, Theo Heimel, Michael Fenton, Kevin Greif, Benjamin Nachman, Daniel Whiteson, Anja Butter, Tilman Plehn,
SciPost Phys. 18, 070 (2025) -
Learning the simplicity of scattering amplitudes
by Clifford Cheung, Aurélien Dersy, Matthew D. Schwartz,
SciPost Phys. 18, 040 (2025) -
Learning lattice quantum field theories with equivariant continuous flows
by Mathis Gerdes, Pim de Haan, Corrado Rainone, Roberto Bondesan, Miranda C. N. Cheng,
SciPost Phys. 15, 238 (2023) -
Exploring unsupervised top tagging using Bayesian inference
by Ezequiel Alvarez, Manuel Szewc, Alejandro Szynkman, Santiago A. Tanco, Tatiana Tarutina,
SciPost Phys. Core 6, 046 (2023) -
Loop amplitudes from precision networks
by Simon Badger, Anja Butter, Michel Luchmann, Sebastian Pitz, Tilman Plehn,
SciPost Phys. Core 6, 034 (2023) -
Machine learning and LHC event generation
by Anja Butter, Tilman Plehn, Steffen Schumann, Simon Badger, Sascha Caron, Kyle Cranmer, Francesco Armando Di Bello, Etienne Dreyer, Stefano Forte, Sanmay Ganguly, Dorival Gonçalves, Eilam Gross, Theo Heimel, Gudrun Heinrich, Lukas Heinrich, Alexander Held, Stefan Höche, Jessica N. Howard, Philip Ilten, Joshua Isaacson, Timo Janßen, Stephen Jones, Marumi Kado, Michael Kagan, Gregor Kasieczka, Felix Kling, Sabine Kraml, Claudius Krause, Frank Krauss, Kevin Kröninger, Rahool Kumar Barman, Michel Luchmann, Vitaly Magerya, Daniel Maitre, Bogdan Malaescu, Fabio Maltoni, Till Martini, Olivier Mattelaer, Benjamin Nachman, Sebastian Pitz, Juan Rojo, Matthew Schwartz, David Shih, Frank Siegert, Roy Stegeman, Bob Stienen, Jesse Thaler, Rob Verheyen, Daniel Whiteson, Ramon Winterhalder, Jure Zupan,
SciPost Phys. 14, 079 (2023) -
Real-time discrimination of photon pairs using machine learning at the LHC
by Sean Benson, Adrián Casais Vidal, Xabier Cid Vidal, Albert Puig Navarro,
SciPost Phys. 7, 062 (2019) -
Investigating ultrafast quantum magnetism with machine learning
by Giammarco Fabiani, Johan H. Mentink,
SciPost Phys. 7, 004 (2019) -
Quark-gluon tagging: Machine learning vs detector
by Gregor Kasieczka, Nicholas Kiefer, Tilman Plehn, Jennifer M. Thompson,
SciPost Phys. 6, 069 (2019) -
Deep-learned Top Tagging with a Lorentz Layer
by Anja Butter, Gregor Kasieczka, Tilman Plehn, Michael Russell,
SciPost Phys. 5, 028 (2018)
Submissions (unpublished only)
-
Synthetic Data Generation with Lorenzetti for Time Series Anomaly Detection in High-Energy Physics Calorimeters
by Laura Boggia, Bogdan Malaescu
(submitted 2025-12-04 to SciPost Physics Proceedings) -
BitHEP --- The Limits of Low-Precision ML in HEP
by Claudius Krause, Daohan Wang, Ramon Winterhalder
(submitted 2025-12-02 to SciPost Physics) -
Enhancing low energy reconstruction and classification in KM3NeT/ORCA with transformers
by Iván Mozún Mateo
(submitted 2025-12-01 to SciPost Physics Proceedings) -
$\mathcal{CP}$-Analyses with Symbolic Regression
by Henning Bahl, Elina Fuchs, Marco Menen, Tilman Plehn
(submitted 2025-11-28 to SciPost Physics) -
Search for anomalous quartic gauge couplings in the process $\mu^+\mu^-\to \bar{\nu}\nu\gamma\gamma$ with a nested local outlier factor
by Ke-Xin Chen, Yu-Chen Guo, Ji-Chong Yang
(submitted 2025-11-24 to SciPost Physics Core) -
Advancing the CMS Level-1 Trigger: Jet Tagging with DeepSets at the HL-LHC
by Stella Schaefer, Christopher Brown, Duc Hoang, Sioni Summers, Sebastian Wuchterl
(submitted 2025-11-21 to SciPost Physics Proceedings) -
Fast, accurate, and precise detector simulation with vision transformers
by Luigi Favaro, Andrea Giammanco, Claudius Krause
(submitted 2025-11-20 to SciPost Physics Proceedings) -
evortran: a modern Fortran package for genetic algorithms with applications from LHC data fitting to LISA signal reconstruction
by Thomas Biekötter
(submitted 2025-11-13 to SciPost Physics Codebases) -
Spectral functions in Minkowski quantum electrodynamics from neural reconstruction: Benchmarking against dispersive Dyson--Schwinger integral equations
by Rodrigo Carmo Terin
(submitted 2025-11-07 to SciPost Physics) -
The AI_INFN Platform: Artificial Intelligence Development in the Cloud
by Lucio Anderlini, Giulio Bianchini, Diego Ciangottini, Stefano Dal Pra, Diego Michelotto, Rosa Petrini, Daniele Spiga
(submitted 2025-11-03 to SciPost Physics Proceedings) -
Agents of Discovery
by Sascha Diefenbacher, Anna Hallin, Gregor Kasieczka, Michael Krämer, Anne Lauscher, Tim Lukas
(submitted 2025-10-29 to SciPost Physics) -
Event Tokenization and Next-Token Prediction for Anomaly Detection at the Large Hadron Collider
by Ambre Visive, Polina Moskvitina, Clara Nellist, Roberto Ruiz de Austri, Sascha Caron
(submitted 2025-10-27 to SciPost Physics Proceedings) -
Unbinning global LHC analyses
by Henning Bahl, Tilman Plehn, Nikita Schmal
(submitted 2025-10-23 to SciPost Physics) -
Modern Machine Learning and Particle Physics Phenomenology at the LHC
by Maria Ubiali
(submitted 2025-10-22 to SciPost Physics Proceedings) -
Extrapolating Jet Radiation with Autoregressive Transformers
by Anja Butter, François Charton, Javier Mariño Villadamigo, Ayodele Ore, Tilman Plehn, Jonas Spinner
(submitted 2025-10-21 to SciPost Physics) -
Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network
by ATLAS Collaboration
(submitted 2025-10-21 to SciPost Physics) -
Forecasting Generative Amplification
by Henning Bahl, Sascha Diefenbacher, Nina Elmer, Tilman Plehn, Jonas Spinner
(submitted 2025-10-17 to SciPost Physics) -
Simulation-Prior Independent Neural Unfolding Procedure
by Anja Butter, Theo Heimel, Nathan Huetsch, Michael Kagan, Tilman Plehn
(submitted 2025-10-14 to SciPost Physics) -
Rings of Light, Speed of AI: YOLO for Cherenkov Reconstruction
by Martino Borsato, Giovanni Laganà, Maurizio Martinelli
(submitted 2025-10-06 to SciPost Physics Proceedings) -
Machine Learning for Event Reconstruction in the CMS Phase-2 High Granularity Calorimeter Endcap
by Théo Cuisset
(submitted 2025-10-05 to SciPost Physics Proceedings) -
Interdisciplinary Digital Twin Engine InterTwin for calorimeter simulation
by Corentin Allaire, Vera Maiboroda, David Rousseau
(submitted 2025-10-01 to SciPost Physics Proceedings) -
Applications of Machine Learning in Constraining Multi-Scalar Models
by Darius Jurčiukonis
(submitted 2025-10-01 to SciPost Physics Proceedings) -
Machine Learning-Based Energy Reconstruction for the ATLAS Tile Calorimeter at HL-LHC
by Francesco Curcio
(submitted 2025-09-30 to SciPost Physics Proceedings) -
Graph Neural Network Acceleration on FPGAs for Fast Inference in Future Muon Triggers at HL-LHC
by Martino Errico, Davide Fiacco, Stefano Giagu, Giuliano Gustavino, Valerio Ippolito, Graziella Russo
(submitted 2025-09-30 to SciPost Physics Proceedings) -
TrackFormers Part 2: Enhanced Transformer-Based Models for High-Energy Physics Track Reconstruction
by Sascha Caron, Nadezhda Dobreva, Maarten Kimpel, Uraz Odyurt, Slav Pshenov, Roberto Ruiz de Austri Bazan, Eugene Shalugin, Zef Wolffs, Yue Zhao
(submitted 2025-09-30 to SciPost Physics Proceedings) -
TrackCore-F: Deploying Transformer-Based Subatomic Particle Tracking on FPGAs
by Arjan Blankestijn, Uraz Odyurt, Amirreza Yousefzadeh
(submitted 2025-09-30 to SciPost Physics Proceedings) -
Autoencoder-based time series anomaly detection for ATLAS Liquid Argon calorimeter data quality monitoring
by Vilius Cepaitis, Steven Schramm
(submitted 2025-09-30 to SciPost Physics Proceedings) -
Unsupervised Machine Learning for Anomaly Detection in LHC Collider Searches
by Antonio D'Avanzo
(submitted 2025-09-30 to SciPost Physics Proceedings) -
Foundation models for high-energy physics
by Anna Hallin
(submitted 2025-09-29 to SciPost Physics Proceedings) -
Probing the Parameter Space of Axion-Like Particles Using Simulation-Based Inference
by Pooja Bhattacharjee, Christopher Eckner, Gabrijela Zaharijas, Gert Kluge, Giacomo D'Amico
(submitted 2025-09-26 to SciPost Physics Proceedings) -
Automatizing the search for mass resonances using BumpNet
by Jean-François Arguin, Georges Azuelos, Émile Baril, Ilan Bessudo, Fannie Bilodeau, Maryna Borysova, Shikma Bressler, Samuel Calvet, Julien Donini, Etienne Dreyer, Michael Kwok Lam Chu, Eva Mayer, Ethan Meszaros, Nilotpal Kakati, Bruna Pascual Dias, Joséphine Potdevin, Amit Shkuri, Muhammad Usman
(submitted 2025-09-24 to SciPost Physics Proceedings) -
Quark-Gluon tagging performance at the High-Luminosity LHC using constituent-based transformer models
by F. L. Castillo, J. Levêque
(submitted 2025-09-19 to SciPost Physics Proceedings) -
Enabling stable preservation of ML algorithms in high-energy physics with petrifyML
by Andy Buckley, Louie Corpe, Martin Habedank, Tomasz Procter
(submitted 2025-09-17 to SciPost Physics Codebases) -
Iterative HOMER with uncertainties
by Anja Butter, Ayodele Ore, Sofia Palacios Schweitzer, Tilman Plehn, Benoît Assi, Christian Bierlich, Philip Ilten, Tony Menzo, Stephen Mrenna, Manuel Szewc, Michael K. Wilkinson, Ahmed Youssef, Jure Zupan
(submitted 2025-09-16 to SciPost Physics) -
FASTColor -- Full-color Amplitude Surrogate Toolkit for QCD
by Javier Mariño Villadamigo, Rikkert Frederix, Tilman Plehn, Timea Vitos, Ramon Winterhalder
(submitted 2025-09-16 to SciPost Physics) -
Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties
by Minxuan He, Claudius Krause, Daohan Wang
(submitted 2025-09-11 to SciPost Physics) -
Amplitude Uncertainties Everywhere All at Once
by Henning Bahl, Nina Elmer, Tilman Plehn, Ramon Winterhalder
(submitted 2025-09-10 to SciPost Physics) -
Machine learning in top quark physics at ATLAS and CMS
by Matthias Komm
(submitted 2025-09-02 to SciPost Physics Proceedings) -
Neutrino Classification Through Deep Learning
by María Fernanda Romo-Fuentes, Luis Eduardo Falcón-Morales
(submitted 2025-08-31 to SciPost Physics Proceedings) -
How to Deep-Learn the Theory behind Quark-Gluon Tagging
by Sophia Vent, Ramon Winterhalder, Tilman Plehn
(submitted 2025-08-15 to SciPost Physics) -
IAFormer: Interaction-Aware Transformer network for collider data analysis
by Waleed Esmail, Ahmed Hammad, Mihoko Nojiri
(submitted 2025-07-22 to SciPost Physics) -
Generating particle physics Lagrangians with transformers
by Yong Sheng Koay, Rikard Enberg, Stefano Moretti, Eliel Camargo-Molina
(submitted 2025-07-02 to SciPost Physics) -
Strengthening Anomaly Awareness
by Adam Banda, Charanjit K. Khosa, Veronica Sanz
(submitted 2025-05-07 to SciPost Physics) -
Exploring the flavor structure of leptons via diffusion models
by Satsuki Nishimura, Hajime Otsuka, Haruki Uchiyama
(submitted 2025-04-16 to SciPost Physics) -
Profile Likelihoods on ML-Steroids
by Theo Heimel, Tilman Plehn, Nikita Schmal
(submitted 2025-03-17 to SciPost Physics) -
Encoding off-shell effects in top pair production in Direct Diffusion networks
by Mathias Kuschick
(submitted 2025-03-14 to SciPost Physics Proceedings) -
Transformer Neural Networks in the Measurement of $t\bar{t}H$ Production in the $H\,{\to}\,b\bar{b}$ Decay Channel with ATLAS
by Chris Scheulen on behalf of the ATLAS Collaboration
(submitted 2024-12-12 to SciPost Physics Proceedings)
Top experts
- A. Diaz, Dr Mauricio
- Alvarez, Prof. Ezequiel
- Arbouet, Dr Arnaud
- Assi, Dr Benoît
- Azéma, Dr Antoine
- Badger, Dr Simon
- Bahl, Dr Henning
- Barman, Dr Rahool Kumar
- Batson, Dr Joshua
- Bauer, Dr Marc
- Benson, Dr Sean
- Bierlich, Dr Christan
- Birk, Dr Joschka
- Bondesan, Dr Roberto
- Brehmer, Dr Johann
- Bresó, Dr Victor
- Bresó-Pla, Dr Víctor
- Butter, Dr Anja
- Carmo Terin, Prof. Rodrigo
- Caron, Prof. Sascha
- Casais Vidal, Dr Adrián
- Cerro, Dr Giorgio
- Cheng, Prof. Miranda C. N.
- Cheung, Prof. Clifford
- Cid Vidal, Dr Xabier
- Clark, Mr David
- Cranmer, Dr Kyle
- Cuche, Dr Aurélien
- Dasmahapatra, Dr Srinandan
- De Crescenzo, Dr Giovanni
- Dersy, Mr Aurélien
- Di Bello, Dr Francesco Armando
- Diefenbacher, Dr Sascha
- Dreyer, Dr Etienne
- Elmer, Dr Nina
- Fabiani, Mr Giammarco
- Favaro, Dr Luigi
- Fenton, Dr Michael James
- Forte, Prof. Stefano
- Ganguly, Dr Sanmay
- Gerdes, Mr Mathis
- Girard, Dr Christian
- Gonçalves, Dr Dorival
- Greif, Mr Kevin Thomas
- Gross, Prof. Eilam
- Hance, Prof. Mike
- Harris, Dr Philip
- Haussmann, Mr Manuel
- Heimel, Mr Theo
- Heinrich, Prof. Gudrun
- Heinrich, Prof. Lukas Alexander
- Held, Dr Alexander
- Ho Lai, Dr Henry Lam
- Howard, Dr Jessica N.
- Huetsch, Mr Nathan
- Höche, Dr Stefan
- Ilten, Dr Philip
- Isaacson, Dr Joshua
- Janßen, Mr Timo
- Jones, Dr Stephen
- Kado, Dr Marumi
- Kagan, Dr Michael
- Kahn, Dr Yonatan Frederick
- Kapust, Mr Renzo
- Kasieczka, Prof. Gregor
- Kiefer, Mr Nicholas
- Kling, Dr Felix
- Kogler, Dr Roman
- Kraml, Dr Sabine
- Krause, Dr Claudius
- Krauss, Prof. Frank
- Kröninger, Prof. Kevin
- Larkoski, Dr Andrew J.
- Liwicki, Dr Marcus
- Luchmann, Mr Michel
- Magerya, Dr Vitaly
- Magerya, Dr Vitaly
- Majorel, Dr Clément
- Malaescu, Dr Bogdan
- Maltoni, Prof. Fabio
- Marashli, Dr Mohamad Ali
- Mariño Villadamigo, Mr Javier
- Martini, Dr Till
- Mattelaer, Dr Olivier
- Maître, Dr Daniel
- Mentink, Dr Johan H.
- Menzo, Mr Tony
- Mikuni, Dr Vinicius
- Mokayed, Dr Hamam
- Moretti, Prof. Stefano
- Mrenna, Dr Stephen
- Nachman, Dr Benjamin
- Olsson, Dr Anton
- Paasch, Dr Alexander
- Palacios Schweitzer, Ms Sofia
- Pata, Dr Joosep
- Patoux, Dr Adelin
- Pawlowski, Prof. Jan M.
- Pitz, Dr Sebastian
- Plehn, Prof. Tilman
- Ponomareva, Dr Sofia
- Puig Navarro, Dr Albert
- Qu, Dr Huilin
- Rainone, Dr Corrado
- Rankin, Dr Dylan Sheldon
- Robles, Mr Juan
- Rojo, Dr Juan
- Russell, Dr Michael
- Saala, Mr Timo
- Sandin, Dr Fredrik
- Schott, Dr Matthias
- Schumann, Prof. Steffen
- Schwartz, Prof. Matthew
- Schwarz, Dr Dennis
- Sheldon, Dr Liam Rankin
- Shih, Prof. David
- Shmakov, Dr Alexander
- Siegert, Dr Frank
- Sompolinsky, Dr Haim
- Spinner, Mr Jonas
- Stegeman, Dr Roy
- Stienen, Mr Bob
- Szewc, Dr Manuel
- Szynkman, Prof. Alejandro
- Tanco, Mr Santiago
- Tang, Prof. Ho-Kin
- Tani, Dr Laurits
- Tarutina, Dr Tatiana
- Temmen, Dr Finn Leon
- Thaler, Prof. Jesse
- Thompson, Dr Jennifer
- Verheyen, Dr Rob
- Whiteson, Prof. Daniel
- Wiecha, Dr Peter
- Wilkinson, Dr Michael K.
- Winterhalder, Dr Ramon
- Youssef, Mr Ahmed
- Yu, Dr Wing Chi
- Zupan, Prof. Jure
- de Haan, Mr Pim