"latent space learning" Papers
14 papers found
Conference
CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning
Ronghao Lin, Qiaolin He, Sijie Mai et al.
NEURIPS 2025arXiv:2602.04920
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li, Yuan Gao, Jinda Lu et al.
ICLR 2025arXiv:2410.06549
9
citations
Directed Graph Grammars for Sequence-based Learning
Michael Sun, Orion Foo, Gang Liu et al.
ICML 2025arXiv:2505.22949
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions
Tobias Schmidt, Steffen Schneider, Matthias Bethge
NEURIPS 2025arXiv:2510.21706
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Zinan Lin, Enshu Liu, Xuefei Ning et al.
NEURIPS 2025arXiv:2509.15591
NormalCrafter: Learning Temporally Consistent Normals from Video Diffusion Priors
Yanrui Bin, Wenbo Hu, Haoyuan Wang et al.
ICCV 2025arXiv:2504.11427
9
citations
TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE
Jiawen Wei, jiang lan, Pengbo Wei et al.
NEURIPS 2025arXiv:2511.22853
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding
Xiangxiang Chu, Renda Li, Yong Wang
ICCV 2025arXiv:2503.06132
17
citations
When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization
Vivek Ramanujan, Kushal Tirumala, Armen Aghajanyan et al.
NEURIPS 2025spotlight
Wonderland: Navigating 3D Scenes from a Single Image
Hanwen Liang, Junli Cao, Vidit Goel et al.
CVPR 2025arXiv:2412.12091
55
citations
Latent Guard: a Safety Framework for Text-to-image Generation
Runtao Liu, Ashkan Khakzar, Jindong Gu et al.
ECCV 2024arXiv:2404.08031
56
citations
Latent Space Symmetry Discovery
Jianke Yang, Nima Dehmamy, Robin Walters et al.
ICML 2024arXiv:2310.00105
22
citations
Multi-Modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models
Liqi He, Zuchao Li, Xiantao Cai et al.
AAAI 2024paperarXiv:2312.08762
37
citations
Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
Hyunki Seong, Hyunchul Shim
ICML 2024oralarXiv:2403.18947
3
citations