Tootfinder

🇺🇦 #NowPlaying on KEXP's #SoundsOfSurvivance
Handsome Tiger:
🎵 Holland
#HandsomeTiger
https://handsometiger.bandcamp.com/track/holland
https://open.spotify.com/track/7nlnEyOxCEvIVcoY8oipJz

🇺🇦 #NowPlaying on #BBC6Music's #AmbientFocus
Neil Young:
🎵 Will To Love
#NeilYoung
https://tosampleandhold.bandcamp.com/track/andrew-young-stevens-will-to-love-no-fish-stuff-b-w-down-by-the-river-reprise
https://open.spotify.com/track/7nhLJrMf82o1NcQqaT9tBr

[2025-05-05 Mon (UTC), no new articles found for nlin.CG Cellular Automata and Lattice Gases]
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This https://arxiv.org/abs/2411.05607 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nli…

Suppressing parametric resonance of a Hyperloop vehicle using a parametric force
In this paper, we study the stability of a simple model of a Hyperloop vehicle resulting from the interaction between electromagnetic and aeroelastic forces for both constant and periodically varying coefficients (i.e., parametric excitation). For the constant coefficients, through linear stability analysis, we analytically identify three distinct regions for the physically significant equilibrium point. Further inspection reveals that the system exhibits limit-cycle vibrations in one of these …

High-Dimensional Regularized Additive Matrix Autoregressive Model
Debika Ghosh, Samrat Roy, Nilanjana Chakraborty
https://arxiv.org/abs/2506.01403 https://…

High-Dimensional Regularized Additive Matrix Autoregressive Model
High-dimensional time series has diverse applications in econometrics and finance. Recent models for capturing temporal dependence have employed a bilinear representation for matrix time series, or the Tucker-decomposition based representation in case of tensor time series. A bilinear or Tucker-decomposition based temporal effect is difficult to interpret on many occasions, along with its computational complexity due to the non-convex nature of the underlying optimization problem. Moreover, the…

Last week, we continued our #ISE2025 lecture on distributional semantics with the introduction of neural language models (NLMs) and compared them to traditional statistical n-gram models.
Benefits of NLMs:
- Capturing Long-Range Dependencies
- Computational and Statistical Tractability
- Improved Generalisation
- Higher Accuracy
@…

[2025-05-05 Mon (UTC), no new articles found for nlin.CG Cellular Automata and Lattice Gases]
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[2025-06-05 Thu (UTC), no new articles found for nlin.CG Cellular Automata and Lattice Gases]
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[2025-06-04 Wed (UTC), no new articles found for nlin.CG Cellular Automata and Lattice Gases]
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[2025-07-04 Fri (UTC), no new articles found for nlin.CG Cellular Automata and Lattice Gases]
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