Neural networks
Publications
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On the role of non-linear latent features in bipartite generative neural networks
by Tony Bonnaire, Giovanni Catania, Aurélien Decelle, Beatriz Seoane,
SciPost Phys. 19, 141 (2025) -
Interpolating amplitudes
by Víctor Bresó-Pla, Gudrun Heinrich, Vitaly Magerya, Anton Olsson,
SciPost Phys. 19, 123 (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) -
Critical dynamics and cyclic memory retrieval in non-reciprocal Hopfield networks
by Shuyue Xue, Mohammad Maghrebi, George I. Mias, Carlo Piermarocchi,
SciPost Phys. 19, 100 (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) -
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) -
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks
by Brandon L. Annesi, Enrico M. Malatesta, Francesco Zamponi,
SciPost Phys. 18, 118 (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) -
Universal performance gap of neural quantum states applied to the Hofstadter-Bose-Hubbard model
by Eimantas Ledinauskas, Egidijus Anisimovas,
SciPost Phys. 18, 011 (2025) -
Exploring phase space with Neural Importance Sampling
by Enrico Bothmann, Timo Janßen, Max Knobbe, Tobias Schmale, Steffen Schumann,
SciPost Phys. 8, 069 (2020) -
From complex to simple : hierarchical free-energy landscape renormalized in deep neural networks
by Hajime Yoshino,
SciPost Phys. Core 2, 005 (2020) -
Reports of my demise are greatly exaggerated: $N$-subjettiness taggers take on jet images
by Liam Moore, Karl Nordström, Sreedevi Varma, Malcolm Fairbairn,
SciPost Phys. 7, 036 (2019) -
QuCumber: wavefunction reconstruction with neural networks
by Matthew J. S. Beach, Isaac De Vlugt, Anna Golubeva, Patrick Huembeli, Bohdan Kulchytskyy, Xiuzhe Luo, Roger G. Melko, Ejaaz Merali, Giacomo Torlai,
SciPost Phys. 7, 009 (2019) -
Quantum dynamics in transverse-field Ising models from classical networks
by Markus Schmitt, Markus Heyl,
SciPost Phys. 4, 013 (2018)
Submissions (unpublished only)
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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) -
Fast, accurate, and precise detector simulation with vision transformers
by Luigi Favaro, Andrea Giammanco, Claudius Krause
(submitted 2025-11-20 to SciPost Physics Proceedings) -
Tensorization of neural networks for improved privacy and interpretability
by José Ramón Pareja Monturiol, Alejandro Pozas-Kerstjens, David Pérez-García
(submitted 2025-11-16 to SciPost Physics Core) -
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) -
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) -
Complexity and accessibility of random landscapes
by Sakshi Pahujani, Joachim Krug
(submitted 2025-10-13 to SciPost Physics Lecture Notes) -
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) -
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) -
Unsupervised Machine Learning for Anomaly Detection in LHC Collider Searches
by Antonio D'Avanzo
(submitted 2025-09-30 to SciPost Physics Proceedings) -
Using AI on FPGAs for the CMS Overlap Muon Track Finder for the HL-LHC
by Pelayo Leguina, Santiago Folgueras, Andrea Cardini, Elena Aller
(submitted 2025-09-30 to SciPost Physics Proceedings) -
Quantum Dynamics with Time-Dependent Neural Quantum States
by Alejandro Romero-Ros, Javier Rozalén Sarmiento and Arnau Rios
(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) -
Physics Informed Neural Networks for design optimisation of diamond particle detectors for charged particle fast-tracking at high luminosity hadron colliders
by Alessandro Bombini, Alessandro Rosa, Clarissa Buti, Giovanni Passaleva, Lucio Anderlini
(submitted 2025-09-26 to SciPost Physics Proceedings) -
Learning complexity of many-body quantum sign structures through the lens of Boolean Fourier analysis
by Ilya Schurov, Anna Kravchenko, Mikhail I. Katsnelson, Andrey A. Bagrov, Tom Westerhout
(submitted 2025-09-22 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) -
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) -
Instability of explicit time integration for strongly quenched dynamics with neural quantum states
by Hrvoje Vrcan, Johan H. Mentink
(submitted 2025-07-24 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) -
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
- Anisimovas, Prof. Egidijus
- Annesi, Dr Brandon L.
- Beach, Mr Matthew J. S.
- Birk, Dr Joschka
- Bonnaire, Dr Tony
- Bothmann, Dr Enrico
- Brehmer, Dr Johann
- Bresó, Dr Victor
- Bresó-Pla, Dr Víctor
- Butter, Dr Anja
- Catania, Dr Giovanni
- Clark, Mr David
- De Vlugt, Mr Isaac J. S.
- Decelle, Dr Aurélien
- Diefenbacher, Dr Sascha
- Fairbairn, Prof. Malcolm
- Favaro, Dr Luigi
- Fenton, Dr Michael James
- Golubeva, Ms Anna
- Greif, Mr Kevin Thomas
- Harris, Dr Philip
- Heimel, Mr Theo
- Heinrich, Prof. Gudrun
- Heyl, Prof. Markus
- Huembeli, Mr Patrick
- Huetsch, Mr Nathan
- Janßen, Mr Timo
- Knobbe, Mr Max
- Kogler, Dr Roman
- Kulchytskyy, Mr Bohdan
- Ledinauskas, Mr Eimantas
- Luo, Dr Xiuzhe
- Magerya, Dr Vitaly
- Maghrebi, Dr Mohammad
- Malatesta, Prof. Enrico
- Mariño Villadamigo, Mr Javier
- Melko, Prof. Roger G.
- Merali, Mr Ejaaz
- Mias, Prof. George
- Mikuni, Dr Vinicius
- Moore, Dr Liam
- Nachman, Dr Benjamin
- Nordström, Dr Karl
- Olsson, Dr Anton
- Paasch, Dr Alexander
- Palacios Schweitzer, Ms Sofia
- Pata, Dr Joosep
- Piermarocchi, Prof. Carlo
- Plehn, Prof. Tilman
- Qu, Dr Huilin
- Rankin, Dr Dylan Sheldon
- Schmale, Mr Tobias
- Schmitt, Dr Markus
- Schumann, Prof. Steffen
- Schwarz, Dr Dennis
- Seoane, Dr Beatriz
- Sheldon, Dr Liam Rankin
- Shmakov, Dr Alexander
- Sompolinsky, Dr Haim
- Spinner, Mr Jonas
- Tani, Dr Laurits
- Thaler, Prof. Jesse
- Torlai, Mr Giacomo
- Varma, Ms Sreedevi
- Whiteson, Prof. Daniel
- Xue, Dr Shuyue
- Yoshino, Prof. Hajime
- Zamponi, Dr Francesco
- de Haan, Mr Pim