"variational autoencoders" Papers
15 papers found
Conference
A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models
Yassine ABBAHADDOU, Amine Aboussalah
NEURIPS 2025oral
Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders
Rui Chen, Jianfeng Zhang, Yixun Liang et al.
CVPR 2025arXiv:2412.17808
49
citations
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
Qi Chen, Jierui Zhu, Florian Shkurti
ICLR 2025arXiv:2506.00849
2
citations
Harmonizing Visual Representations for Unified Multimodal Understanding and Generation
Size Wu, Wenwei Zhang, Lumin Xu et al.
ICCV 2025arXiv:2503.21979
37
citations
Manifold Learning by Mixture Models of VAEs for Inverse Problems
Giovanni S. Alberti, Johannes Hertrich, Matteo Santacesaria et al.
ICLR 2025arXiv:2303.15244
12
citations
PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
Tianyu Xie, David Harry Tyensoung Richman, Jiansi Gao et al.
ICLR 2025arXiv:2502.04730
4
citations
Support is All You Need for Certified VAE Training
Changming Xu, Debangshu Banerjee, Deepak Vasisht et al.
ICLR 2025arXiv:2504.11831
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
Tenglong Liu, Yang Li, Yixing Lan et al.
ICML 2024arXiv:2405.19909
13
citations
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
Hien Dang, Tho-Huu Tran, Tan Nguyen et al.
ICLR 2024arXiv:2306.05023
8
citations
CF-OPT: Counterfactual Explanations for Structured Prediction
Germain Vivier-Ardisson, Alexandre Forel, Axel Parmentier et al.
ICML 2024arXiv:2405.18293
3
citations
Disentanglement Learning via Topology
Nikita Balabin, Daria Voronkova, Ilya Trofimov et al.
ICML 2024arXiv:2308.12696
3
citations
G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model
Pan Xie, Qipeng Zhang, Peng Taiying et al.
AAAI 2024paperarXiv:2208.09141
33
citations
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming
Xinlei Niu, Christian Walder, Jing Zhang et al.
ICML 2024arXiv:2306.02568
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
Yi Yu, Yufei Wang, Song Xia et al.
ICML 2024arXiv:2405.01460
21
citations
Why do Variational Autoencoders Really Promote Disentanglement?
Pratik Bhowal, Achint Soni, Sirisha Rambhatla
ICML 2024