Michael Spannowsky

,

CoRR, March, 2026

Theory-informed neural networks for particle physics.

[BibT_eX]

[DOI]

Barry M. Dillon

,

Mach. Learn. Sci. Technol., 2026

Another Fit Bites the Dust: Conformal Prediction as a Calibration Standard for Machine Learning in High-Energy Physics.

[BibT_eX]

[DOI]

,

CoRR, December, 2025

QINNs: Quantum-Informed Neural Networks.

[BibT_eX]

[DOI]

,

,

,

,

,

CoRR, October, 2025

Stable and Interpretable Jet Physics with IRC-Safe Equivariant Feature Extraction.

[BibT_eX]

[DOI]

Partha Konar

,

,

,

Deepanshu Srivastava

CoRR, September, 2025

Improved Ground State Estimation in Quantum Field Theories via Normalising Flow-Assisted Neural Quantum States.

[BibT_eX]

[DOI]

,

,

Timur Sypchenko

CoRR, June, 2025

Communicating Likelihoods with Normalising Flows.

[BibT_eX]

[DOI]

,

,

,

,

CoRR, February, 2025

Collective variables of neural networks: empirical time evolution and scaling laws.

[BibT_eX]

[DOI]

,

,

,

,

Mach. Learn. Sci. Technol., 2025

Generating quantum reservoir state representations with random matrices.

[BibT_eX]

[DOI]

,

,

,

Mach. Learn. Sci. Technol., 2025

Enhancing anomaly detection with topology-aware autoencoders.

[BibT_eX]

[DOI]

,

Blazej Rozwoda

,

Kazuki Sakurai

,

Mach. Learn. Sci. Technol., 2025

Optimal equivariant architectures from the symmetries of matrix-element likelihoods.

[BibT_eX]

[DOI]

Daniel Maître

,

,

Mach. Learn. Sci. Technol., 2025

Quantum pathways for charged track finding in high-energy collisions.

[BibT_eX]

[DOI]

,

,

,

,

Frontiers Artif. Intell., 2024

Training neural networks with universal adiabatic quantum computing.

[BibT_eX]

[DOI]

Steve Abel

,

,

Frontiers Artif. Intell., 2024

FeynMG: A FeynRules extension for scalar-tensor theories of gravity.

[BibT_eX]

[DOI]

Sergio Sevillano Muñoz

,

Edmund J. Copeland

,

Peter Millington

,

Comput. Phys. Commun., 2024

The role of data embedding in quantum autoencoders for improved anomaly detection.

[BibT_eX]

[DOI]

,

CoRR, 2024

Optimal Symmetries in Binary Classification.

[BibT_eX]

[DOI]

,

CoRR, 2024

Generating Reservoir State Descriptions with Random Matrices.

[BibT_eX]

[DOI]

Samuel Tovey

,

Christian Holm

,

CoRR, 2024

Generative Invertible Quantum Neural Networks.

[BibT_eX]

[DOI]

Armand Rousselot

,

CoRR, 2023

A duality connecting neural network and cosmological dynamics.

[BibT_eX]

[DOI]

Sven Krippendorf

,

Mach. Learn. Sci. Technol., 2022

IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

,

,

,

,

,

Frontiers Artif. Intell., 2022

Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models.

[BibT_eX]

[DOI]

Ezequiel Alvarez

,

,

Manuel Szewc

Frontiers Artif. Intell., 2022

Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection.

[BibT_eX]

[DOI]

,

CoRR, 2022

A Genetic Quantum Annealing Algorithm.

[BibT_eX]

[DOI]

Steven Abel

,

Luca A. Nutricati

,

CoRR, 2022

Identifying (anti-)skyrmions while they form.

[BibT_eX]

[DOI]

,

,

CoRR, 2022

IRC-safe Graph Autoencoder for an unsupervised anomaly detection.

[BibT_eX]

[DOI]

,

,

,

,

,

CoRR, 2022

Qade: Solving Differential Equations on Quantum Annealers.

[BibT_eX]

[DOI]

,

CoRR, 2022

Completely Quantum Neural Networks.

[BibT_eX]

[DOI]

Steve Abel

,

,

CoRR, 2022

Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data.

[BibT_eX]

[DOI]

,

CoRR, 2022

Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States.

[BibT_eX]

[DOI]

,

CoRR, 2021

Quantum Optimisation of Complex Systems with a Quantum Annealer.

[BibT_eX]

[DOI]

Steve Abel

,

Andrew Blance

,

CoRR, 2021

Elvet - a neural network-based differential equation and variational problem solver.

[BibT_eX]

[DOI]

,

,