DOAJ Open Access 2025

Bidirectional Mamba state-space model for anomalous diffusion

Maxime Lavaud Yosef Shokeeb Juliette Lacherez Yacine Amarouchene Thomas Salez

Abstrak

Characterizing anomalous diffusion (AnDi) is crucial in order to understand the evolution of complex stochastic systems, from molecular interactions to cellular dynamics. Here, we evaluate the performances regarding such a task of Bi-Mamba, a novel state-space deep-learning architecture articulated around a bidirectional scanning mechanism. Our implementation is tested on the AnDi-2 challenge datasets. Designed for regression tasks, the Bi-Mamba architecture infers efficiently the effective diffusion coefficient and anomalous exponent from single, short trajectories. As such, our results indicate the potential practical use of the Bi-Mamba architecture towards the characterization of AnDi.

Topik & Kata Kunci

Applied optics. Photonics Optics. Light

Penulis (5)

Maxime Lavaud

Yosef Shokeeb

Juliette Lacherez

Yacine Amarouchene

Thomas Salez

Format Sitasi

APA MLA BibTeX

Lavaud, M., Shokeeb, Y., Lacherez, J., Amarouchene, Y., Salez, T. (2025). Bidirectional Mamba state-space model for anomalous diffusion. https://doi.org/10.1088/2515-7647/add42c

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Informasi Jurnal

Tahun Terbit: 2025
Sumber Database: DOAJ
DOI: 10.1088/2515-7647/add42c
Akses: Open Access ✓