Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence
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Updated
Feb 3, 2024 - Jupyter Notebook
Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Official implementation of the article "Unsupervised JPEG Domain Adaptation For Practical Digital Forensics"
MMD-GAN: Towards Deeper Understanding of Moment Matching Network
multi-kernel maximum mean discrepancy
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
Can We Find Strong Lottery Tickets in Generative Models? - Official Code (Pytorch)
Improving MMD-GAN training with repulsive loss function
Maximum mean discrepancy comparisons for single cell profiling experiments
Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy
Implicit generative models and related stuff based on the MMD, in PyTorch
Chapter 11: Transfer Learning/Domain Adaptation
Learning kernels to maximize the power of MMD tests
MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)
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