Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.04881
Cited By
v1
v2
v3 (latest)
Learning Flat Latent Manifolds with VAEs
International Conference on Machine Learning (ICML), 2020
12 February 2020
Nutan Chen
Alexej Klushyn
Francesco Ferroni
Justin Bayer
Patrick van der Smagt
DRL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning Flat Latent Manifolds with VAEs"
30 / 30 papers shown
Complex variational autoencoders admit Kähler structure
Andrew Gracyk
DRL
632
0
0
19 Nov 2025
Assessing local deformation and computing scalar curvature with nonlinear conformal regularization of decoders
Benjamin Couéraud
V. Sunkara
Christof Schütte
181
0
0
28 Aug 2025
Variational Shape Inference for Grasp Diffusion on SE(3)
S. Talha Bukhari
Kaivalya Agrawal
Zachary Kingston
Aniket Bera
DiffM
341
1
0
24 Aug 2025
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization
Ziyu Gong
Jim Lim
David I. Inouye
DiffM
246
0
0
17 Jun 2025
Curvature Enhanced Data Augmentation for Regression
Ilya Kaufman Sirot
Omri Azencot
237
1
0
07 Jun 2025
Investigating Image Manifolds of 3D Objects: Learning, Shape Analysis, and Comparisons
Benjamin Beaudett
Shenyuan Liang
Anuj Srivastava
281
0
0
09 Mar 2025
Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalance
Charles Camboulin
Diego Doimo
Aldo Glielmo
DRL
257
1
0
04 Nov 2024
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
Jaehoon Hahm
Junho Lee
Sunghyun Kim
Joonseok Lee
DiffM
320
21
0
16 Jul 2024
Modularity aided consistent attributed graph clustering via coarsening
Samarth Bhatia
Yukti Makhija
Manoj Kumar
Sandeep Kumar
395
0
0
09 Jul 2024
Least Volume Analysis
Qiuyi Chen
Cashen Diniz
M. Fuge
297
1
0
27 Apr 2024
Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis
Frontiers in Pharmacology (Front. Pharmacol.), 2024
Yin Li
Yu Xiong
Wenxin Fan
Kai Wang
Qingqing Yu
Liping Si
Patrick van der Smagt
Jun Tang
Nutan Chen
344
3
0
21 Jan 2024
Canonical normalizing flows for manifold learning
Neural Information Processing Systems (NeurIPS), 2023
Kyriakos Flouris
E. Konukoglu
DRL
599
16
0
19 Oct 2023
On Explicit Curvature Regularization in Deep Generative Models
Yonghyeon Lee
Frank C. Park
BDL
278
15
0
19 Sep 2023
A Geometric Perspective on Autoencoders
Yonghyeon Lee
229
7
0
15 Sep 2023
Geometric Autoencoders -- What You See is What You Decode
International Conference on Machine Learning (ICML), 2023
Philipp Nazari
Sebastian Damrich
Fred Hamprecht
284
21
0
30 Jun 2023
Data Representations' Study of Latent Image Manifolds
International Conference on Machine Learning (ICML), 2023
Ilya Kaufman
Omri Azencot
423
11
0
31 May 2023
Computationally-Efficient Neural Image Compression with Shallow Decoders
IEEE International Conference on Computer Vision (ICCV), 2023
Jianlong Wu
Stephan Mandt
476
43
0
13 Apr 2023
VTAE: Variational Transformer Autoencoder with Manifolds Learning
IEEE Transactions on Image Processing (IEEE TIP), 2023
Pourya Shamsolmoali
Masoumeh Zareapoor
Huiyu Zhou
Dacheng Tao
Xuelong Li
DRL
259
16
0
03 Apr 2023
Manifold Learning by Mixture Models of VAEs for Inverse Problems
Journal of machine learning research (JMLR), 2023
Giovanni S. Alberti
J. Hertrich
Matteo Santacesaria
Silvia Sciutto
DRL
472
13
0
27 Mar 2023
Amortized Variational Inference: A Systematic Review
Journal of Artificial Intelligence Research (JAIR), 2022
Ankush Ganguly
Sanjana Jain
Ukrit Watchareeruetai
306
33
0
22 Sep 2022
Adversarial robustness of VAEs through the lens of local geometry
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Asif Khan
Amos Storkey
AAML
DRL
363
5
0
08 Aug 2022
GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions
Journal of Computational Physics (JCP), 2022
Ryan Lopez
P. Atzberger
AI4CE
448
11
0
10 Jun 2022
Discriminating Against Unrealistic Interpolations in Generative Adversarial Networks
Henning Petzka
Ted Kronvall
C. Sminchisescu
GAN
202
2
0
02 Mar 2022
Flat Latent Manifolds for Human-machine Co-creation of Music
Nutan Chen
Djalel Benbouzid
Francesco Ferroni
Mathis Nitschke
Luciano Pinna
Patrick van der Smagt
271
1
0
23 Feb 2022
Exploring the Latent Space of Autoencoders with Interventional Assays
Neural Information Processing Systems (NeurIPS), 2021
Felix Leeb
Stefan Bauer
M. Besserve
Bernhard Schölkopf
DRL
382
23
0
30 Jun 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian
L
1
L_1
L
1
Regularization
Neural Information Processing Systems (NeurIPS), 2021
Travers Rhodes
Daniel D. Lee
DRL
269
23
0
05 Jun 2021
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders
Felix Möller
Diego Botache
Denis Huseljic
Florian Heidecker
Maarten Bieshaar
Bernhard Sick
OODD
361
27
0
04 May 2021
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Guy Tennenholtz
Shie Mannor
OffRL
262
15
0
22 Feb 2021
Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems
Ryan Lopez
P. Atzberger
DRL
AI4CE
284
11
0
07 Dec 2020
On Implicit Regularization in
β
β
β
-VAEs
International Conference on Machine Learning (ICML), 2020
Abhishek Kumar
Ben Poole
DRL
761
59
0
31 Jan 2020
1
Page 1 of 1
