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Preventing Oversmoothing in VAE via Generalized Variance Parameterization
Neurocomputing (Neurocomputing), 2021
17 February 2021
Yuhta Takida
Wei-Hsiang Liao
Chieh-Hsin Lai
Toshimitsu Uesaka
Shusuke Takahashi
Yuki Mitsufuji
DRL
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Papers citing
"Preventing Oversmoothing in VAE via Generalized Variance Parameterization"
9 / 9 papers shown
DiffKnock: Diffusion-based Knockoff Statistics for Neural Networks Inference
Heng Ge
Qing Lu
150
0
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01 Oct 2025
DeepRV: Accelerating Spatiotemporal Inference with Pre-trained Neural Priors
Jhonathan Navott
Daniel Jenson
Seth Flaxman
Elizaveta Semenova
BDL
GP
AI4CE
315
0
0
27 Mar 2025
VCT: Training Consistency Models with Variational Noise Coupling
Gianluigi Silvestri
Luca Ambrogioni
Chieh-Hsin Lai
Yuhta Takida
Yuki Mitsufuji
412
10
0
25 Feb 2025
Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling
Pu Ren
R. Nakata
Maxime Lacour
Ilan Naiman
Nori Nakata
...
Osman Asif Malik
Dmitriy Morozov
Omri Azencot
N. Benjamin Erichson
Michael W. Mahoney
AI4CE
310
15
0
21 Jul 2024
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
Phai Vu Dinh
Nguyen Quang Uy
D. Hoang
Diep N. Nguyen
Son Pham Bao
E. Dutkiewicz
AAML
333
2
0
22 Mar 2024
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
Yuhta Takida
Yukara Ikemiya
Takashi Shibuya
Kazuki Shimada
Woosung Choi
...
Naoki Murata
Toshimitsu Uesaka
Kengo Uchida
Wei-Hsiang Liao
Yuki Mitsufuji
BDL
551
29
0
31 Dec 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CML
OOD
537
2
0
16 Oct 2023
How to train your VAE
International Conference on Information Photonics (ICIP), 2023
Mariano Rivera
DRL
213
2
0
22 Sep 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
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