44 citations · 53 across the 6 of their papers we have counts for
7 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…
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…
An Introduction to Neural Data Compression
Yibo Yang, Stephan Mandt, Lucas Theis
Neural compression is the application of neural networks and other machine learning methods to data compression. Recent advances in statistical machine learning have opened up new…
Towards Empirical Sandwich Bounds on the Rate-Distortion Function
Yibo Yang, Stephan Mandt
Rate-distortion (R-D) function, a key quantity in information theory, characterizes the fundamental limit of how much a data source can be compressed subject to a fidelity criterio…
Learning to Simulate High Energy Particle Collisions from Unlabeled Data
Jessica N. Howard, Stephan Mandt, Daniel Whiteson +1
In many scientific fields which rely on statistical inference, simulations are often used to map from theoretical models to experimental data, allowing scientists to test model pre…