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01/13/2023
Neural Image Compression with a Diffusion-Based Decoder
Diffusion probabilistic models have recently achieved remarkable success...
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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...
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06/10/2021
Quantized Conditional COT-GAN for Video Prediction
Causal Optimal Transport (COT) results from imposing a temporal causalit...
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06/15/2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport
We introduce COT-GAN, an adversarial algorithm to train implicit generat...
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06/03/2020
Double Generative Adversarial Networks for Conditional Independence Testing
In this article, we consider the problem of high-dimensional conditional...
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07/27/2019
