Andreas Ipp - RankMe

14 papers C 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalizable Equivariant Diffusion Models for Non-Abelian Lattice Gauge Theory. CoRR Gert Aarts, Diaa E. Habibi, Andreas Ipp, David I. Müller, Thomas R. Ranner, Lingxiao Wang, Wei Wang, Qianteng Zhu
2025	J	`jnl`	Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models. CoRR 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, Jesús Marco de Lucas, Sydney Otten, Pawel Pawlowski, Pietro Vischia, Erik Weber, Christoph Weniger
2025	J	`jnl`	Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics. CoRR Gert Aarts, Kenji Fukushima, Tetsuo Hatsuda, Andreas Ipp, Shuzhe Shi, Lingxiao Wang, Kai Zhou
2025	J	`jnl`	Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF. CoRR 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
2024	J	`jnl`	Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network. CoRR Kieran Holland, Andreas Ipp, David I. Müller, Urs Wenger
2023	J	`jnl`	Fixed point actions from convolutional neural networks. CoRR Kieran Holland, Andreas Ipp, David I. Müller, Urs Wenger
2022	J	`jnl`	Applications of Lattice Gauge Equivariant Neural Networks. CoRR Matteo Favoni, Andreas Ipp, David I. Müller
2021	J	`jnl`	Equivariance and generalization in neural networks. CoRR Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2021	J	`jnl`	Generalization capabilities of neural networks in lattice applications. CoRR Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2021	J	`jnl`	Generalization capabilities of translationally equivariant neural networks. CoRR Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2021	J	`jnl`	Lattice gauge symmetry in neural networks. CoRR Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2021	J	`jnl`	Preserving gauge invariance in neural networks. CoRR Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2020	J	`jnl`	Lattice gauge equivariant convolutional neural networks. CoRR Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2012	C	`conf`	Methodology for trade-off analysis when moving scientific applications to cloud. CloudCom Toni Mastelic, Drazen Lucanin, Andreas Ipp, Ivona Brandic