Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Jules Berman

Jules Berman

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
0

Publications per year

1
26

Top categories

ML×1AI×1Numerical Analysis×1

Frequent co-authors

Tobias Blickhan1×
Benjamin Peherstorfer1×

Research Timeline

2026
Stochastic Lifting for Generating Trajectories of Stochastic Physical Systems

Stochastic Lifting is a novel technique that enhances the modeling of stochastic physical systems by introducing independent random labels to state transitions, allowing a single network to generate diverse and plausible trajectories.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AImath.NARecentMay 28, 2026

Stochastic Lifting for Generating Trajectories of Stochastic Physical Systems

Jules Berman, Tobias Blickhan, Benjamin Peherstorfer

Stochastic Lifting is a novel technique that enhances the modeling of stochastic physical systems by introducing independent random labels to state transitions, allowing a single network to generate d…

View →