Optimal INR freeze depth matches highest weight stable rank layer; SAEs reveal SIREN atoms are localized while FFMLP atoms trace cohort contours with causal impact on PSNR.
Optimizing rank for high- fidelity implicit neural representations
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FDINR decomposes RGB-NIR pairs into frequency components via wavelets and employs dual-branch INR with cross-modal supervision and adaptive uncertainty loss to restore low-light images while enabling arbitrary-resolution output.
Muon optimizer outperforms AdamW across 17 tabular datasets when training MLPs under a shared protocol.
citing papers explorer
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What Cohort INRs Encode and Where to Freeze Them
Optimal INR freeze depth matches highest weight stable rank layer; SAEs reveal SIREN atoms are localized while FFMLP atoms trace cohort contours with causal impact on PSNR.
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Frequency-Decomposed INR for NIR-Assisted Low-Light RGB Image Denoising
FDINR decomposes RGB-NIR pairs into frequency components via wavelets and employs dual-branch INR with cross-modal supervision and adaptive uncertainty loss to restore low-light images while enabling arbitrary-resolution output.
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Benchmarking Optimizers for MLPs in Tabular Deep Learning
Muon optimizer outperforms AdamW across 17 tabular datasets when training MLPs under a shared protocol.