Andreas Ipp

According to our database, Andreas Ipp authored at least 13 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Ik Siong Heng, Paula Gina Isar, Karolos Potamianos, Liliana Teodorescu, John Veitch, Pietro Vischia, Christoph Weniger

CoRR, March, 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, January, 2025

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, Stefan Fröse, Faegheh Hasibi, Andreas Ipp, Rukshak Kapoor, Gregor Kasieczka, Daniel Kostic, Michael Krämer, Tobias Golling, Luis G. Lopez, Jesus Marco, Sydney Otten, Pawel Pawlowski, Pietro Vischia, Erik Weber, Christoph Weniger

CoRR, January, 2025

2024

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

2023

Fixed point actions from convolutional neural networks.

Kieran Holland, Andreas Ipp, David I. Müller, Urs Wenger

CoRR, 2023

2022

Applications of Lattice Gauge Equivariant Neural Networks.

Matteo Favoni, Andreas Ipp, David I. Müller

CoRR, 2022

2021

Equivariance and generalization in neural networks.

Srinath Bulusu, 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

Preserving gauge invariance in neural networks.

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

Generalization capabilities of translationally equivariant neural networks.

Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh

CoRR, 2021

2020

Lattice gauge equivariant convolutional neural networks.

Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh

CoRR, 2020

2012

Methodology for trade-off analysis when moving scientific applications to cloud.

Toni Mastelic, Drazen Lucanin, Andreas Ipp, Ivona Brandic

Proceedings of the 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, 2012