Matthias Sachs - Dokumente zum Namen - alle Infos bei Yasni.de

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[ ] Efficient Numerical Algorithms for the Generalized...

arxiv.org

von B Leimkuhler · · Zitiert von: 3 — From: Matthias Sachs [view email] [v1] Tue, 8 Dec :49:00 UTC (837 KB). Full-text links: Download: PDF · PostScript · Other formats. › math

JSM Online Program

ww2.amstat.org

Author(s):, Deborshee Sen* and Matthias Sachs and David Dunson and Jianfeng Lu. Companies: Duke University and Duke University and Duke University and ...

Hyperactive Learning (HAL) for Data-Driven Interatomic Potentialsarxiv.org › physics

arxiv.org

· Hyperactive Learning (HAL) for Data-Driven Interatomic Potentials. Authors:Cas van der Oord, Matthias Sachs, Dávid Péter Kovács, Christoph ...

[ ] Ergodic properties of quasi-Markovian generalized...

arxiv.org

Submission history. From: Matthias Sachs [view email] [v1] Wed, 11 Apr :47:58 UTC (753 KB) [v2] Sat, 10 Nov :50:14 UTC (

[ ] Efficient posterior sampling for high-dimensional...

arxiv.org

Authors:Deborshee Sen, Matthias Sachs, Jianfeng Lu, David Dunson. (Submitted on 27 May (v1), last revised 14 Nov (this version, v2)). Abstract: ...

[ ] Hypocoercivity properties of adaptive Langevin dynamics

arxiv.org

Authors:Benedict Leimkuhler, Matthias Sachs, Gabriel Stoltz. (Submitted on 25 Aug (v1), last revised 28 Aug (this version, v2)). Abstract: Adaptive ...

[ ] Non-reversible Markov chain Monte Carlo for sampling of...

arxiv.org

· From: Matthias Sachs [view email] [v1] Tue, 18 Aug :34:09 UTC (7,913 KB). Full-text links: Download: PDF · Other formats. (license).

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Dokumente zum Namen Matthias Sachs

[ ] Efficient Numerical Algorithms for the Generalized...

JSM Online Program

Hyperactive Learning (HAL) for Data-Driven Interatomic Potentialsarxiv.org › physics

[ ] Ergodic properties of quasi-Markovian generalized...

[ ] Efficient posterior sampling for high-dimensional...

[ ] Hypocoercivity properties of adaptive Langevin dynamics

[ ] Non-reversible Markov chain Monte Carlo for sampling of...