A covariance-aware extension of DDIM sampling for pixel-space diffusion models that uses Tweedie's formula and Fourier decomposition to model reverse-process covariance and improves sample quality at low NFE.
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Spike encoders are reformulated as time-causal bandpass wavelets that preserve sparsity and locality while providing reconstruction error bounds comparable to continuous wavelet transforms on ECG and audio signals.
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Covariance-aware sampling for Diffusion Models
A covariance-aware extension of DDIM sampling for pixel-space diffusion models that uses Tweedie's formula and Fourier decomposition to model reverse-process covariance and improves sample quality at low NFE.
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Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
Spike encoders are reformulated as time-causal bandpass wavelets that preserve sparsity and locality while providing reconstruction error bounds comparable to continuous wavelet transforms on ECG and audio signals.