Author

Lars Helge Heyen

Observed names: Heyen, Lars, Heyen, Lars H., Heyen, Lars Helge, Lars H. Heyen, Lars Heyen

Institutions: Karlsruhe Institute of Technology, Heidelberg University

Observed institutions: Karlsruhe Institute of Technology, Heidelberg University, Institute for Theoretical Physics

ORCID: 0000-0001-7949-1858

Observed ORCID: 0000-0001-7949-1858

OpenAlex ID: A5012750908

Emergent interaction-driven elliptic flow of few fermionic atoms

2025 · Sandra Brandstetter, Philipp Lunt, et al. · Nature Physics · 44

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Qualifying collective behavior in expanding ultracold gases as a function of particle number

2022 · Stefan Floerchinger, Giuliano Giacalone, et al. · Physical Review C · 16

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Real scalar field, the nonrelativistic limit, and the cosmological expansion

2020 · Lars H. Heyen, Stefan Floerchinger · Physical review. D/Physical review. D. · 11

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Few is different: deciphering many-body dynamics in mesoscopic quantum gases

2026 · Juergen Berges, Sandra Brandstetter, et al. · The European Physical Journal A · 3

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Bayesian Lottery Ticket Hypothesis

2026 · Kuhn, Nicholas, Weyrauch, Arvid, et al. · arXiv (Cornell University) · 2

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torch_blue: A Flexible Python Package for Bayesian Neural Networks in PyTorch

2026 · Arvid Weyrauch, Lars H. Heyen, et al. · The Journal of Open Source Software · 2

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Jigsaw: Training Multi-Billion-Parameter AI Weather Models with Optimized Model Parallelism

2025 · Kieckhefen, Deifilia, Götz, Markus, et al. · arXiv (Cornell University) · 1

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Quantum corrections at second order in derivatives to the dynamics of small nonrelativistic fluids

2025 · Lars H. Heyen, Giuliano Giacalone, et al. · Physical Review C · 1

The Learnable Delta Method: Bridging Classical Error Propagation and Deep Learning Optimization

2026 · Hsia, Pei-Hsuan, Heyen, Lars Helge, et al. · Zenodo (CERN European Organization for Nuclear Research)

BEAST weights

2026 · Kieckhefen, Deifilia, Gutiérrez Hermosillo Muriedas, Juan Pedro, et al. · Zenodo (CERN European Organization for Nuclear Research)

4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling

2026 · Kieckhefen, Deifilia, Muriedas, Juan Pedro Gutiérrez Hermosillo, et al. · arXiv (Cornell University)

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance

2026 · Hsia, Pei-Hsuan, Heyen, Lars H., et al. · arXiv (Cornell University)

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Combining Domain and Tensor Parallelism to Train Multi-billion-parameter AI Weather Models

2026 · Deifilia Kieckhefen, Markus Götz, et al. · Platform for Advanced Scientific Computing Conference (PASC)

Sampling Parallelism for Fast and Efficient Bayesian Learning

2026 · Asena Karolin Özdemir, Lars Helge Heyen, et al. · Platform for Advanced Scientific Computing Conference (PASC)

Improving Subseasonal Weather Forecast Using Tropical Weighting: A Fine-Tuned 2D Transformer

2026 · Sonal Rami, Deifilia Kieckhefen, et al. · EGU General Assembly Conference Abstracts

torch_blue: A Flexible Python Package for Bayesian Neural Networks in PyTorch

2026 · Weyrauch, Arvid, Heyen, Lars Helge, et al. · Zenodo (CERN European Organization for Nuclear Research)

Works count: 18

Citation count: 81

H-index: 3

I10-index: 3