Fatemeh Ghasemi Balouei, Nathan Willemsen, Mahesh Banavar, Bahman Moraffah: VAMP-Diff: VampPrior Latent Diffusion for Photoplethysmography Modeling https://arxiv.org/abs/2605.22851 https://arxiv.org/pdf/2605.22851 https://arxiv.org/html/2605.22851

The VampPrior Mixture Model #SingleCell 🧪🧬🖥️
https://arxiv.org/abs/2402.04412

Hierarchical VAE with a Diffusion-based VampPrior

Anna Kuzina, Jakub M. Tomczak

Action editor: Arto Klami

https://openreview.net/forum?id=NUkEoZ7Toa

#autoencoders #vampprior #generative

Thank you, Durk! We didn't reproduce CR-NVAE due to lack of resources. However, their regularization technique (CR) is actually applicable to almost any VAE. Maybe CR-VampPrior 2.0 might get even better 🤩

I am super hyped and happy with our recent paper on a ✨VampPrior 2.0✨: Hierarchical VAE with a diffusion-based VampPrior! 🦇 We got SOTA VAE results on CIFAR-10! Kudos to Anna Kuzina because this TMLR paper is the last chapter in her PhD thesis 🤩
📃 tinyurl.com/22rvzc4f
💻 github.com/AKuzina/dvp_...

(38) Hierarchical VAE with a Diffusion-based VampPrior
(39) CPA: Camera-pose-awareness Diffusion Transformer for Video Generation
(40) Vision-based Tactile Image Generation via Contact Condition-guided Diffusion Model
(41) Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning

doi.org/10.1016/j.ml...
Deep generative modelling of aircraft trajectories in terminal maneuvering areas
・航空交通シミュレータで使用する航空機の軌道をVAEで生成する
・時間方向の関係性を捉えるため，ネットワークにはTemporal Convolutional Networksを使用
・潜在空間の分布に複雑性を持たせるため，混合ガウス分布でモデル化（VampPriorと呼んでいる）
・生成した軌道は分布間の距離（e-distance），航空機の軌道としての現実性（DTW, SSPD）で評価