skip to content

Faculty of Mathematics

 

Publications

Collective variables of neural networks: empirical time evolution and scaling laws
S Tovey, S Krippendorf, M Spannowsky, K Nikolaou, C Holm
– Machine Learning: Science and Technology
(2025)
6,
035021
Deep observations of the Type IIB flux landscape
A Chauhan, M Cicoli, S Krippendorf, A Maharana, P Piantadosi, A Schachner
– Journal of High Energy Physics
(2025)
2025,
271
Towards a phenomenological understanding of neural networks: data
S Tovey, S Krippendorf, K Nikolaou, C Holm
– Machine Learning Science and Technology
(2023)
4,
035040
CYJAX: A package for Calabi-Yau metrics with JAX
M Gerdes, S Krippendorf
– Machine Learning: Science and Technology
(2023)
4,
025031
A duality connecting neural network and cosmological dynamics
S Krippendorf, M Spannowsky
– Machine Learning Science and Technology
(2022)
3,
035011
Integrability Ex Machina
S Krippendorf, D Lüst, M Syvaeri
– Fortschritte der Physik
(2021)
69,
2100057
Detecting symmetries with neural networks
S Krippendorf, M Syvaeri
– Machine Learning: Science and Technology
(2020)
2,
015010
GANs for generating EFT models
H Erbin, S Krippendorf
– Physics Letters B
(2020)
810,
135798
UV Shadows in EFTs: Accidental Symmetries, Robustness and No-Scale Supergravity
CP Burgess, M Cicoli, D Ciupke, S Krippendorf, F Quevedo
– Fortschritte Der Physik
(2020)
68,
ARTN 2000076
Connecting Dualities and Machine Learning
P Betzler, S Krippendorf
– Fortschritte Der Physik
(2020)
68,
ARTN 2000022
  • 1 of 4
  • >

Research Group

High Energy Physics

Room

B1.13