ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.03715
  4. Cited By
Autoencoding Variational Autoencoder

Autoencoding Variational Autoencoder

7 December 2020
A. Cemgil
Sumedh Ghaisas
Krishnamurthy Dvijotham
Sven Gowal
Pushmeet Kohli
    DRLBDL
ArXiv (abs)PDFHTML

Papers citing "Autoencoding Variational Autoencoder"

15 / 15 papers shown
Graph Representation-based Model Poisoning on the Heterogeneous Internet of Agents
Graph Representation-based Model Poisoning on the Heterogeneous Internet of Agents
Hanlin Cai
Houtianfu Wang
Haofan Dong
Kai Li
Ozgur B. Akan
Ozgur B. Akan
AAML
190
2
0
10 Nov 2025
Semantic-Enhanced Time-Series Forecasting via Large Language Models
Semantic-Enhanced Time-Series Forecasting via Large Language Models
Hao Liu
Chun Yang
Zhang xiaoxing
Xiaobin Zhu
AI4TSAIFin
296
1
0
11 Aug 2025
Bi-Level Motion Imitation for Humanoid Robots
Bi-Level Motion Imitation for Humanoid RobotsConference on Robot Learning (CoRL), 2024
Wenshuai Zhao
Yi Zhao
Joni Pajarinen
Michael Muehlebach
341
6
0
02 Oct 2024
HSIGene: A Foundation Model For Hyperspectral Image Generation
HSIGene: A Foundation Model For Hyperspectral Image GenerationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Li Pang
Datao Tang
Shuang Xu
Deyu Meng
Xiangyong Cao
DiffM
369
29
0
19 Sep 2024
Robust VAEs via Generating Process of Noise Augmented Data
Robust VAEs via Generating Process of Noise Augmented Data
Hiroo Irobe
Wataru Aoki
Kimihiro Yamazaki
Yuhui Zhang
Takumi Nakagawa
Hiroki Waida
Yuichiro Wada
Takafumi Kanamori
AAML
206
0
0
26 Jul 2024
Leverage Variational Graph Representation For Model Poisoning on
  Federated Learning
Leverage Variational Graph Representation For Model Poisoning on Federated Learning
Kai Li
Xinnan Yuan
Jingjing Zheng
Wei Ni
Falko Dressler
Abbas Jamalipour
AAMLFedML
354
19
0
23 Apr 2024
Bayesian Transfer Learning
Bayesian Transfer Learning
Piotr M. Suder
Jason Xu
David B. Dunson
302
13
0
20 Dec 2023
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated
  Learning via Latent Space Reconstruction
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space ReconstructionNetwork and Distributed System Security Symposium (NDSS), 2023
Shanghao Shi
Ning Wang
Yang Xiao
Chaoyu Zhang
Yi Shi
Y. T. Hou
W. Lou
388
19
0
10 Nov 2023
Provable Compositional Generalization for Object-Centric Learning
Provable Compositional Generalization for Object-Centric LearningInternational Conference on Learning Representations (ICLR), 2023
Thaddäus Wiedemer
Jack Brady
Alexander Panfilov
Attila Juhos
Matthias Bethge
Wieland Brendel
OCL
380
38
0
09 Oct 2023
Amortized Variational Inference: A Systematic Review
Amortized Variational Inference: A Systematic ReviewJournal of Artificial Intelligence Research (JAIR), 2022
Ankush Ganguly
Sanjana Jain
Ukrit Watchareeruetai
306
33
0
22 Sep 2022
Generalization Gap in Amortized Inference
Generalization Gap in Amortized InferenceNeural Information Processing Systems (NeurIPS), 2022
Mingtian Zhang
Peter Hayes
David Barber
BDLCMLDRL
361
14
0
23 May 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Alleviating Adversarial Attacks on Variational Autoencoders with MCMCNeural Information Processing Systems (NeurIPS), 2022
Anna Kuzina
Max Welling
Jakub M. Tomczak
AAMLDRL
263
15
0
18 Mar 2022
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
Fei Ye
A. Bors
CLL
260
13
0
15 Dec 2021
Exploring the Latent Space of Autoencoders with Interventional Assays
Exploring the Latent Space of Autoencoders with Interventional AssaysNeural Information Processing Systems (NeurIPS), 2021
Felix Leeb
Stefan Bauer
M. Besserve
Bernhard Schölkopf
DRL
382
23
0
30 Jun 2021
Certifiably Robust Variational Autoencoders
Certifiably Robust Variational AutoencodersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Ben Barrett
A. Camuto
M. Willetts
Tom Rainforth
AAMLDRL
311
17
0
15 Feb 2021
1
Page 1 of 1