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Diffusion Variational Autoencoders

Diffusion Variational Autoencoders

25 January 2019
Luis A. Pérez Rey
Vlado Menkovski
Jacobus W. Portegies
    DiffM
    BDL
    DRL
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Papers citing "Diffusion Variational Autoencoders"

13 / 13 papers shown
Title
Robust Node Representation Learning via Graph Variational Diffusion
  Networks
Robust Node Representation Learning via Graph Variational Diffusion Networks
Jun Zhuang
M. A. Hasan
21
7
0
18 Dec 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in
  Recommender Systems?
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems?
Davide Buffelli
Ashish Gupta
Agnieszka Strzalka
Vassilis Plachouras
OffRL
LRM
34
1
0
16 Aug 2023
Multi-view Multi-behavior Contrastive Learning in Recommendation
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
12
78
0
20 Mar 2022
Exploring the Latent Space of Autoencoders with Interventional Assays
Exploring the Latent Space of Autoencoders with Interventional Assays
Felix Leeb
Stefan Bauer
M. Besserve
Bernhard Schölkopf
DRL
49
17
0
30 Jun 2021
On Incorporating Inductive Biases into VAEs
On Incorporating Inductive Biases into VAEs
Ning Miao
Emile Mathieu
N. Siddharth
Yee Whye Teh
Tom Rainforth
CML
DRL
30
10
0
25 Jun 2021
Continuous normalizing flows on manifolds
Continuous normalizing flows on manifolds
Luca Falorsi
BDL
AI4CE
30
10
0
14 Mar 2021
Flow-based Generative Models for Learning Manifold to Manifold Mappings
Flow-based Generative Models for Learning Manifold to Manifold Mappings
Xingjian Zhen
Rudrasis Chakraborty
Liu Yang
Vikas Singh
DRL
MedIm
31
9
0
18 Dec 2020
Geometry-Aware Hamiltonian Variational Auto-Encoder
Geometry-Aware Hamiltonian Variational Auto-Encoder
Clément Chadebec
Clément Mantoux
S. Allassonnière
DRL
22
15
0
22 Oct 2020
Variational Autoencoder with Learned Latent Structure
Variational Autoencoder with Learned Latent Structure
Marissa Connor
Gregory H. Canal
Christopher Rozell
CML
DRL
26
42
0
18 Jun 2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural
  data
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data
Kristopher T. Jensen
Ta-Chu Kao
Marco Tripodi
Guillaume Hennequin
DRL
22
31
0
12 Jun 2020
Variational Autoencoders with Riemannian Brownian Motion Priors
Variational Autoencoders with Riemannian Brownian Motion Priors
Dimitris Kalatzis
David Eklund
Georgios Arvanitidis
Søren Hauberg
BDL
DRL
60
48
0
12 Feb 2020
Increasing Expressivity of a Hyperspherical VAE
Increasing Expressivity of a Hyperspherical VAE
Tim R. Davidson
Jakub M. Tomczak
E. Gavves
11
6
0
07 Oct 2019
Continuous Hierarchical Representations with Poincaré Variational
  Auto-Encoders
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders
Emile Mathieu
Charline Le Lan
Chris J. Maddison
Ryota Tomioka
Yee Whye Teh
BDL
DRL
34
171
0
17 Jan 2019
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