Diffusion Variational Autoencoders

Diffusion Variational Autoencoders

25 January 2019

Luis A. Pérez Rey

Vlado Menkovski

Jacobus W. Portegies

Papers citing "Diffusion Variational Autoencoders"

11 / 11 papers shown

Title
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 16 7 0 18 Dec 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 24 1 0 16 Aug 2023
Multi-view Multi-behavior Contrastive Learning in Recommendation Yiqing Wu Ruobing Xie Yongchun Zhu Xiang Ao Xin Chen Xu-Yao Zhang Fuzhen Zhuang Leyu Lin Qing He 10 78 0 20 Mar 2022
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 46 17 0 30 Jun 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 22 10 0 25 Jun 2021
Continuous normalizing flows on manifolds Luca Falorsi BDL AI4CE 21 10 0 14 Mar 2021
Flow-based Generative Models for Learning Manifold to Manifold Mappings Xingjian Zhen Rudrasis Chakraborty Liu Yang Vikas Singh DRL MedIm 21 9 0 18 Dec 2020
Geometry-Aware Hamiltonian Variational Auto-Encoder Clément Chadebec Clément Mantoux S. Allassonnière DRL 12 15 0 22 Oct 2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data Kristopher T. Jensen Ta-Chu Kao Marco Tripodi Guillaume Hennequin DRL 18 31 0 12 Jun 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 60 48 0 12 Feb 2020
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders Emile Mathieu Charline Le Lan Chris J. Maddison Ryota Tomioka Yee Whye Teh BDL DRL 26 171 0 17 Jan 2019