research
∙
01/13/2023
Neural Image Compression with a Diffusion-Based Decoder
Diffusion probabilistic models have recently achieved remarkable success...
share
research
∙
09/30/2021
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
From ecology to atmospheric sciences, many academic disciplines deal wit...
research
∙
06/10/2021
Quantized Conditional COT-GAN for Video Prediction
Causal Optimal Transport (COT) results from imposing a temporal causalit...
research
∙
06/15/2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport
We introduce COT-GAN, an adversarial algorithm to train implicit generat...
research
∙
06/03/2020
Double Generative Adversarial Networks for Conditional Independence Testing
In this article, we consider the problem of high-dimensional conditional...
research
∙
07/27/2019