UniMamba integrates Mamba state-space dynamics with attention layers and transforms like FFT-Laplace to outperform prior models on multivariate time series forecasting benchmarks.
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3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3representative citing papers
AMS-HD applies hyperdimensional computing with mutual information feature selection and positional projection to match SVM and MLP accuracy for AMS detection while using far less power, memory, and hardware resources on FPGA and mobile platforms.
UW-ER integrates predictive uncertainty into experience replay for stable online CSI prediction in MIMO systems, showing NMSE near 0 dB and strong uncertainty-error correlation on 3GPP data.
citing papers explorer
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UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration
UniMamba integrates Mamba state-space dynamics with attention layers and transforms like FFT-Laplace to outperform prior models on multivariate time series forecasting benchmarks.
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AMS-HD: Hyperdimensional Computing for Real-Time and Energy-Efficient Acute Mountain Sickness Detection
AMS-HD applies hyperdimensional computing with mutual information feature selection and positional projection to match SVM and MLP accuracy for AMS detection while using far less power, memory, and hardware resources on FPGA and mobile platforms.
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Uncertainty-Weighted Experience Replay for Continual MIMO Channel Prediction
UW-ER integrates predictive uncertainty into experience replay for stable online CSI prediction in MIMO systems, showing NMSE near 0 dB and strong uncertainty-error correlation on 3GPP data.