AW
Arvid Weyrauch
cs.AIcs.LGcs.DCcs.CVcs.PFphysics.ao-ph
On Valency
published · living versionsW_sc2pddqk·v1 · currentpublished
4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling
with Deifilia Kieckhefen, Juan Pedro Gutiérrez Hermosillo Muriedas, Lars Helge Heyen, Mathis Bode +10
1 version
Preprints & journals
7 papers in the corpus · 2022–20264D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling2609.12815v1 · Deifilia Kieckhefen, Juan Pedro Guti'errez Hermosillo Muriedas, Lars Helge Heyen et al.2026 · 0 citationsarXivon Valency
Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance2607.25376v1 · Pei-Hsuan Hsia, Lars H. Heyen, Arvid Weyrauch et al.2026 · 0 citationsarXiv
Sampling Parallelism for Fast and Efficient Bayesian Learning2604.04736v1 · Asena Karolin Ozdemir, Lars H. Heyen, Arvid Weyrauch et al.2026 · 0 citationsarXiv
Bayesian Lottery Ticket Hypothesis2602.18825v1 · Nicholas Kuhn, Arvid Weyrauch, Lars Heyen et al.2026 · 0 citationsarXiv
A Comparative Study of Pruning Methods in Transformer-based Time Series Forecasting2412.12883v1 · Nicholas Kiefer, Arvid Weyrauch, Muhammed Oz et al.2024 · 1 citationarXiv
ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers2405.03429v1 · Arvid Weyrauch, Thomas Steens, Oskar Taubert et al.2024 · 3 citationsarXiv
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads2212.01698v1 · Ren'e Caspart, Sebastian Ziegler, Arvid Weyrauch et al.2022 · 21 citationsarXiv
Career total: 15 works. 7 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.