Representing probability distributions by the gradient of their density functions has proven
effective in modeling a wide range of continuous data modalities. However, this …

Spectral analysis provides one of the most effective paradigms for information-preserving
dimensionality reduction, as simple descriptions of naturally occurring signals are often …

Fractals are geometric shapes that can display complex and self-similar patterns found in
nature (eg, clouds and plants). Recent works in visual recognition have leveraged this …

While generative models hold thrilling potential, their limited usability presents substantial
challenges for their widespread adoption in real-world applications. Specifically, existing …