Andreas Ipp
Technische Universität Wien
H-index: 18
Europe-Austria
Top articles of Andreas Ipp
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Fixed point actions from convolutional neural networks | PoS LATTICE2023 (2024) 038 | Urs Wenger K Holland A Ipp DI Müller | 2024 |
Energy-momentum tensor of the dilute (3+ 1) D Glasma | arXiv preprint arXiv:2401.10320 | Andreas Ipp Markus Leuthner David I Müller Sören Schlichting Kayran Schmidt | 2024/1/18 |
Machine learning a fixed point action for SU (3) gauge theory with a gauge equivariant convolutional neural network | arXiv preprint arXiv:2401.06481 | Kieran Holland Andreas Ipp David I Müller Urs Wenger | 2024/1/12 |
Using equivariant neural networks as maps of gauge field configurations | Matteo Favoni Andreas Ipp Daniel Schuh David Müller | 2023/6/27 | |
Generation of gauge field configurations with equivariant neural networks | Matteo Favoni Andreas Ipp David Müller Daniel Schuh | 2023/3/2 | |
Global and local symmetries in neural networks | Daniel Schuh Andreas Ipp David Müller Jimmy Aronsson Matteo Favoni | 2023/6/27 | |
3+ 1D energy-momentum tensor of the dilute Glasma | Markus Leuthner David Müller Andreas Ipp Sören Schlichting Pragya Singh | 2023 | |
Symmetries and ML | Andreas Ipp | 2023/8/18 | |
Simulating heavy quarks and jets in the Glasma | Dana Avramescu Virgil Băran Vicenzo Greco Andreas Ipp David Müller | 2023/6/20 | |
Heavy quark and jet transport coefficients in the Glasma early stage of heavy-ion collisions | arXiv preprint arXiv:2307.07999 | Dana Avramescu Virgil Băran Vincenzo Greco Andreas Ipp David Müller | 2023/7/16 |
3+ 1D observables in the dilute Glasma | Markus Leuthner Andreas Ipp David Müller Pragya Singh Sören Schlichting | 2023/6/19 | |
Machine learning a fixed point action | Urs Wenger Andreas Ipp David Müller Kieran Holland | 2023/6/28 | |
Visualizing the inner workings of L-CNNs | Andreas Ipp David Müller Daniel Schuh Matteo Favoni | 2023/6/27 | |
Simulating jets and heavy quarks in the glasma using the colored particle-in-cell method | Physical Review D | Dana Avramescu Virgil Băran Vincenzo Greco Andreas Ipp David Müller | 2023/6/15 |
Studying the 3+ 1D structure of the Glasma using the weak field approximation | EPJ Web of Conferences | Andreas Ipp Markus Leuthner David I Müller Soeren Schlichting Pragya Singh | 2022 |
Machine learning with gauge symmetry | Matteo Favoni Andreas Ipp David Müller Daniel Schuh | 2022/4/6 | |
Generalization capabilities of neural networks in lattice applications | arXiv preprint arXiv:2112.12474 | Srinath Bulusu Matteo Favoni Andreas Ipp David I Müller Daniel Schuh | 2021/12/23 |
Space-time structure of 3+ 1D color fields in heavy-ion collisions | David Müller Andreas Ipp Soeren Schlichting Pragya Singh | 2022/4/6 | |
Equivariance and generalization in neural networks | EPJ Web of Conferences | Srinath Bulusu Matteo Favoni Andreas Ipp David I Müller Daniel Schuh | 2022 |
Lattice gauge equivariant convolutional neural networks | Physical Review Letters | Matteo Favoni Andreas Ipp David I Müller Daniel Schuh | 2022/1/20 |