ChronoMixer: Decoupled Local-Global Dynamics Learning via Adaptive Information Gating.

Zeng W, Li X, Xie Z

DOI: 10.1109/tnnls.2026.3748200
Published: 2026 Nov 5
Container: IEEE transactions on neural networks and learning systems
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tnnls.2026.3748200,
  title = {ChronoMixer: Decoupled Local-Global Dynamics Learning via Adaptive Information Gating.},
  author = {Zeng W and Li X and Xie Z},
  year = {2026},
  journal = {IEEE transactions on neural networks and learning systems},
  doi = {10.1109/tnnls.2026.3748200},
  url = {https://doi.org/10.1109/tnnls.2026.3748200}
}

RIS

TY  - JOUR
TI  - ChronoMixer: Decoupled Local-Global Dynamics Learning via Adaptive Information Gating.
AU  - Zeng W
AU  - Li X
AU  - Xie Z
PY  - 2026
JO  - IEEE transactions on neural networks and learning systems
DO  - 10.1109/tnnls.2026.3748200
UR  - https://doi.org/10.1109/tnnls.2026.3748200
ER  -

APA

W, Z., X, L., & Z, X. (2026). ChronoMixer: Decoupled Local-Global Dynamics Learning via Adaptive Information Gating.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3748200

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pubmed · retrieved 2026-11-10T11:39:32.672Z