#state space models
5 papers match
Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals
Shuntaro Suzuki, Shunya Nagashima, Komei Sugiura
The paper introduces Cortical-SSM, a deep state space model that decodes motor imagery EEG signals by integrating temporal, spatial, and frequency information, achieving higher acc…
Lag Operator SSMs: A Geometric Framework for Structured State Space Modeling
Sutashu Tomonaga, Kenji Doya, Noboru Murata
The paper proposes a geometric, first‑principles framework for building discrete‑time structured state space models using a novel lag operator, enabling modular design of sequence…
DCVC-MB: Neural B-Frame Video Compression using State Space Models
Arjun Arora, Calvin-Khang Ta, Carlos Restrepo-Galeano +7
The paper introduces DCVC-MB, a neural video codec for low-delay B‑frame compression that uses state‑space models for bidirectional prediction and an entropy‑aware skipping mechani…
MambaPSA: A Mamba-based Replacement for C2PSA in YOLO26
Sheng-Wei Chan, Chia-Min Lin, Hsin-Jui Pan +4
The paper introduces MambaPSA, a lightweight Mamba‑based module that replaces the C2PSA block in the YOLO26 object detector and adds a bidirectional Vision Mamba (BiViM) to the nec…
TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling
Songru Yang, Zili Liu, Tao Han +7
The paper introduces a Triaxial State Space Model that leverages period‑aligned historical weather data and a temporal‑variable‑historical paradigm to improve global station weathe…
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