166 citations · 507 across the 29 of their papers we have counts for
31 papers
Advances in Diffusion-Based Generative Compression
Yibo Yang, Stephan Mandt
Popularized by their strong image generation performance, diffusion and related methods for generative modeling have found widespread success in visual media applications. In parti…
AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data
Tuan Truong, Rithwik Sudharsan, Yibo Yang +4
The site conditions that make astronomical observatories in space and on the ground so desirable -- cold and dark -- demand a physical remoteness that leads to limited data transmi…
Progressive Compression with Universally Quantized Diffusion Models
Yibo Yang, Justus C. Will, Stephan Mandt
Diffusion probabilistic models have achieved mainstream success in many generative modeling tasks, from image generation to inverse problem solving. A distinct feature of these mod…
Precipitation Downscaling with Spatiotemporal Video Diffusion
Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan +4
In climate science and meteorology, high-resolution local precipitation (rain and snowfall) predictions are limited by the computational costs of simulation-based methods. Statisti…
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
Yibo Yang, Stephan Eckstein, Marcel Nutz +1
In the theory of lossy compression, the rate-distortion (R-D) function describes how much a data source can be compressed (in bit-rate) at any given level of fidelity (disto…
Computationally-Efficient Neural Image Compression with Shallow Decoders
Yibo Yang, Stephan Mandt
Neural image compression methods have seen increasingly strong performance in recent years. However, they suffer orders of magnitude higher computational complexity compared to tra…