A new Gram-based anisotropic objective perturbation stabilizes private LASSO under heterogeneous covariates and improves efficiency via AMP state evolution analysis.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 4verdicts
UNVERDICTED 4representative citing papers
SGDiT models MIMO detection as a noise-conditioned denoising process with a soft graph transformer and cross-entropy loss, achieving competitive bit error rates and generalization across channel conditions.
Diffusion-OAMP combines a pre-trained diffusion model with the OAMP algorithm under an SNR-matching rule to enable training-free reconstruction of compressed images transmitted over noisy wireless channels.
A single recurrent transformer block trained once delivers 5 dB and 7.5 dB NMSE gains over prior methods for narrowband and wideband hybrid near-far field THz UM-MIMO channel estimation.
citing papers explorer
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Stabilizing Private LASSO under Heterogeneous Covariates via Anisotropic Objective Perturbation
A new Gram-based anisotropic objective perturbation stabilizes private LASSO under heterogeneous covariates and improves efficiency via AMP state evolution analysis.
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Soft Graph Diffusion Transformer for MIMO Detection
SGDiT models MIMO detection as a noise-conditioned denoising process with a soft graph transformer and cross-entropy loss, achieving competitive bit error rates and generalization across channel conditions.
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Diffusion-OAMP for Joint Image Compression and Wireless Transmission
Diffusion-OAMP combines a pre-trained diffusion model with the OAMP algorithm under an SNR-matching rule to enable training-free reconstruction of compressed images transmitted over noisy wireless channels.
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Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO
A single recurrent transformer block trained once delivers 5 dB and 7.5 dB NMSE gains over prior methods for narrowband and wideband hybrid near-far field THz UM-MIMO channel estimation.