SciPost: Topic details

Neural networks

Publications

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Submissions (unpublished only)

How to Unfold Top Decays
by Luigi Favaro, Roman Kogler, Alexander Paasch, Sofia Palacios Schweitzer, Tilman Plehn, Dennis Schwarz
(submitted 2025-05-05 to SciPost Physics)
Generative Unfolding with Distribution Mapping
by Anja Butter, Sascha Diefenbacher, Nathan Huetsch, Vinicius Mikuni, Benjamin Nachman, Sofia Palacios Schweitzer, Tilman Plehn
(submitted 2025-04-28 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)
Reconstructing hadronically decaying tau leptons with a jet foundation model
by Laurits Tani, Joosep Pata, Joschka Birk
(submitted 2025-03-26 to SciPost Physics Core)
Tensorization of neural networks for improved privacy and interpretability
by José Ramón Pareja Monturiol, Alejandro Pozas-Kerstjens, David Pérez-García
(submitted 2025-03-04 to SciPost Physics)
Interpolating amplitudes
by Víctor Bresó-Pla, Gudrun Heinrich, Vitaly Magerya, Anton Olsson
(submitted 2025-02-25 to SciPost Physics)
Simplified derivations for high-dimensional convex learning problems
by David G. Clark, Haim Sompolinsky
(submitted 2025-02-11 to SciPost Physics Lecture Notes)
Critical Dynamics and Cyclic Memory Retrieval in Non-reciprocal Hopfield Networks
by Shuyue Xue, Mohammad Maghrebi, George I. Mias, and Carlo Piermarocchi
(submitted 2025-01-16 to SciPost Physics)
Extrapolating Jet Radiation with Autoregressive Transformers
by Anja Butter, François Charton, Javier Mariño Villadamigo, Ayodele Ore, Tilman Plehn, Jonas Spinner
(submitted 2024-12-31 to SciPost Physics)
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
(submitted 2024-12-31 to SciPost Physics)
Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network
by ATLAS Collaboration
(submitted 2024-12-16 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)

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Neural networks