Methodology for trade-off analysis when moving scientific applications to cloud. - Toni Mastelic; Drazen Lucanin; Andreas Ipp; Ivona Brandic (CloudCom, 2012)

Lattice gauge equivariant convolutional neural networks. - Matteo Favoni; Andreas Ipp; David I. Müller; Daniel Schuh (CoRR, 2020)

Generalization capabilities of translationally equivariant neural networks. - Srinath Bulusu; Matteo Favoni; Andreas Ipp; David I. Müller; Daniel Schuh (CoRR, 2021)

Lattice gauge symmetry in neural networks. - Matteo Favoni; Andreas Ipp; David I. Müller; Daniel Schuh (CoRR, 2021)

Preserving gauge invariance in neural networks. - Matteo Favoni; Andreas Ipp; David I. Müller; Daniel Schuh (CoRR, 2021)

Generalization capabilities of neural networks in lattice applications. - Srinath Bulusu; Matteo Favoni; Andreas Ipp; David I. Müller; Daniel Schuh (CoRR, 2021)

Equivariance and generalization in neural networks. - Srinath Bulusu; Matteo Favoni; Andreas Ipp; David I. Müller; Daniel Schuh (CoRR, 2021)

Applications of Lattice Gauge Equivariant Neural Networks. - Matteo Favoni; Andreas Ipp; David I. Müller (CoRR, 2022)

Fixed point actions from convolutional neural networks. - Kieran Holland; Andreas Ipp; David I. Müller; Urs Wenger (CoRR, 2023)

Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network. - Kieran Holland; Andreas Ipp; David I. Müller; Urs Wenger (CoRR, 2024)

Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models. - Kristian Gonzalez Barman; Sascha Caron; Emily Sullivan; Henk W. de Regt; Roberto Ruiz de Austri; Mieke Boon; Michael Färber 001; Stefan Fröse; Faegheh Hasibi; Andreas Ipp; Rukshak Kapoor; Gregor Kasieczka; et al. (CoRR, 2025)

Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics. - Gert Aarts; Kenji Fukushima; Tetsuo Hatsuda; Andreas Ipp; Shuzhe Shi; Lingxiao Wang; Kai Zhou (CoRR, 2025)

Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF. - Sascha Caron; Andreas Ipp; Gert Aarts; Gábor Bíró; Daniele Bonacorsi; Elena Cuoco; Caterina Doglioni; Tommaso Dorigo; Julián García Pardiñas; Stefano Giagu; Tobias Golling; Lukas Heinrich; et al. (CoRR, 2025)