research
∙
05/25/2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models
Particle-based deep generative models, such as gradient flows and score-...
share
research
∙
06/10/2021
A Neural Tangent Kernel Perspective of GANs
Theoretical analyses for Generative Adversarial Networks (GANs) generall...
research
∙
08/04/2020
PDE-Driven Spatiotemporal Disentanglement
A recent line of work in the machine learning community addresses the pr...
research
∙
02/21/2020
Stochastic Latent Residual Video Prediction
Designing video prediction models that account for the inherent uncertai...
research
∙
01/30/2019
Unsupervised Scalable Representation Learning for Multivariate Time Series
Time series constitute a challenging data type for machine learning algo...
research
∙
02/22/2018