Learning kernels to maximize the power of MMD tests
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Updated
Jan 11, 2018 - Python
Learning kernels to maximize the power of MMD tests
MMD-GAN: Towards Deeper Understanding of Moment Matching Network
MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)
Improving MMD-GAN training with repulsive loss function
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
Can We Find Strong Lottery Tickets in Generative Models? - Official Code (Pytorch)
Chapter 11: Transfer Learning/Domain Adaptation
Fast Inference in Denoising Diffusion Models via MMD Finetuning
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Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence
Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy
multi-kernel maximum mean discrepancy
Implicit generative models and related stuff based on the MMD, in PyTorch
Official implementation of the article "Unsupervised JPEG Domain Adaptation For Practical Digital Forensics"
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