CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
Fuente:
arXiv
Guardado en:
| Autores principales: | Ma, Chenrui, Xiao, Xi, Wang, Tianyang, Wang, Xiao, Shen, Yanning |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learning Straight Flows: Variational Flow Matching for Efficient Generation
por: Ma, Chenrui, et al.
Publicado: (2025)
por: Ma, Chenrui, et al.
Publicado: (2025)
Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions
por: Ma, Chenrui, et al.
Publicado: (2025)
por: Ma, Chenrui, et al.
Publicado: (2025)
Stochastic Interpolants via Conditional Dependent Coupling
por: Ma, Chenrui, et al.
Publicado: (2025)
por: Ma, Chenrui, et al.
Publicado: (2025)
4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis
por: Wei, Yuxiang, et al.
Publicado: (2025)
por: Wei, Yuxiang, et al.
Publicado: (2025)
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
por: Chen, Guangyi, et al.
Publicado: (2024)
por: Chen, Guangyi, et al.
Publicado: (2024)
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation
por: Xiao, Wenbo, et al.
Publicado: (2025)
por: Xiao, Wenbo, et al.
Publicado: (2025)
Optimizing Diffusion Priors in Image Reconstruction from a Single Observation
por: Wang, Frederic, et al.
Publicado: (2026)
por: Wang, Frederic, et al.
Publicado: (2026)
Sample-efficient evidence estimation of score based priors for model selection
por: Wang, Frederic, et al.
Publicado: (2026)
por: Wang, Frederic, et al.
Publicado: (2026)
Conformal Prediction Sets for Instance Segmentation
por: Lu, Kerri, et al.
Publicado: (2026)
por: Lu, Kerri, et al.
Publicado: (2026)
L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation
por: Ozcan, Hazal Mogultay, et al.
Publicado: (2025)
por: Ozcan, Hazal Mogultay, et al.
Publicado: (2025)
Closed-Loop Unsupervised Representation Disentanglement with $β$-VAE Distillation and Diffusion Probabilistic Feedback
por: Jin, Xin, et al.
Publicado: (2024)
por: Jin, Xin, et al.
Publicado: (2024)
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
por: Sadat, Seyedmorteza, et al.
Publicado: (2024)
por: Sadat, Seyedmorteza, et al.
Publicado: (2024)
Transition Flow Matching
por: Ma, Chenrui
Publicado: (2026)
por: Ma, Chenrui
Publicado: (2026)
Conformal Prediction for Long-Tailed Classification
por: Ding, Tiffany, et al.
Publicado: (2025)
por: Ding, Tiffany, et al.
Publicado: (2025)
Registration-Free Monitoring of Unstructured Point Cloud Data via Intrinsic Geometrical Properties
por: Patalano, Mariafrancesca, et al.
Publicado: (2025)
por: Patalano, Mariafrancesca, et al.
Publicado: (2025)
A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data
por: Kim, Taehyo, et al.
Publicado: (2025)
por: Kim, Taehyo, et al.
Publicado: (2025)
A Fourier Space Perspective on Diffusion Models
por: Falck, Fabian, et al.
Publicado: (2025)
por: Falck, Fabian, et al.
Publicado: (2025)
Statistical analysis of multivariate planar curves and applications to X-ray classification
por: Moindjié, Issam-Ali, et al.
Publicado: (2025)
por: Moindjié, Issam-Ali, et al.
Publicado: (2025)
Non-Negative Stiefel Approximating Flow: Orthogonalish Matrix Optimization for Interpretable Embeddings
por: Avants, Brian B., et al.
Publicado: (2025)
por: Avants, Brian B., et al.
Publicado: (2025)
Evaluating AI systems under uncertain ground truth: a case study in dermatology
por: Stutz, David, et al.
Publicado: (2023)
por: Stutz, David, et al.
Publicado: (2023)
Mixstyle-Entropy: Domain Generalization with Causal Intervention and Perturbation
por: Tang, Luyao, et al.
Publicado: (2024)
por: Tang, Luyao, et al.
Publicado: (2024)
Overcoming Common Flaws in the Evaluation of Selective Classification Systems
por: Traub, Jeremias, et al.
Publicado: (2024)
por: Traub, Jeremias, et al.
Publicado: (2024)
Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations
por: Fogliato, Riccardo, et al.
Publicado: (2023)
por: Fogliato, Riccardo, et al.
Publicado: (2023)
LatentGAN Autoencoder: Learning Disentangled Latent Distribution
por: Kalwar, Sanket, et al.
Publicado: (2022)
por: Kalwar, Sanket, et al.
Publicado: (2022)
REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
por: Leng, Xingjian, et al.
Publicado: (2025)
por: Leng, Xingjian, et al.
Publicado: (2025)
Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation
por: Uppal, Anshuk, et al.
Publicado: (2025)
por: Uppal, Anshuk, et al.
Publicado: (2025)
Efficient Neural Network Training via Subset Pretraining
por: Spörer, Jan, et al.
Publicado: (2024)
por: Spörer, Jan, et al.
Publicado: (2024)
VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models
por: Bi, Tianci, et al.
Publicado: (2025)
por: Bi, Tianci, et al.
Publicado: (2025)
Improved Anomaly Detection through Conditional Latent Space VAE Ensembles
por: Åström, Oskar, et al.
Publicado: (2024)
por: Åström, Oskar, et al.
Publicado: (2024)
FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation
por: Luo, Yan, et al.
Publicado: (2024)
por: Luo, Yan, et al.
Publicado: (2024)
Language Embedding Meets Dynamic Graph: A New Exploration for Neural Architecture Representation Learning
por: Jing, Haizhao, et al.
Publicado: (2025)
por: Jing, Haizhao, et al.
Publicado: (2025)
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
por: Hu, Chen, et al.
Publicado: (2024)
por: Hu, Chen, et al.
Publicado: (2024)
Automatic Scoring of Cognition Drawings: Assessing the Quality of Machine-Based Scores Against a Gold Standard
por: Bethmann, Arne, et al.
Publicado: (2023)
por: Bethmann, Arne, et al.
Publicado: (2023)
MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding
por: Wei, Yuxiang, et al.
Publicado: (2025)
por: Wei, Yuxiang, et al.
Publicado: (2025)
Disentanglement-Based Equivariant Learning for Compositional VQA
por: Du, Zhou, et al.
Publicado: (2026)
por: Du, Zhou, et al.
Publicado: (2026)
DeCo-VAE: Learning Compact Latents for Video Reconstruction via Decoupled Representation
por: Yin, Xiangchen, et al.
Publicado: (2025)
por: Yin, Xiangchen, et al.
Publicado: (2025)
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones
por: Louiset, Robin, et al.
Publicado: (2023)
por: Louiset, Robin, et al.
Publicado: (2023)
Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space
por: Pal, Shivam, et al.
Publicado: (2025)
por: Pal, Shivam, et al.
Publicado: (2025)
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
por: Hahm, Jaehoon, et al.
Publicado: (2024)
por: Hahm, Jaehoon, et al.
Publicado: (2024)
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
por: Thomas, Xavier, et al.
Publicado: (2025)
por: Thomas, Xavier, et al.
Publicado: (2025)
Ejemplares similares
-
Learning Straight Flows: Variational Flow Matching for Efficient Generation
por: Ma, Chenrui, et al.
Publicado: (2025) -
Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions
por: Ma, Chenrui, et al.
Publicado: (2025) -
Stochastic Interpolants via Conditional Dependent Coupling
por: Ma, Chenrui, et al.
Publicado: (2025) -
4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis
por: Wei, Yuxiang, et al.
Publicado: (2025) -
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
por: Chen, Guangyi, et al.
Publicado: (2024)