Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets
Fuente:
arXiv
Guardado en:
| Autores principales: | Ganguli, Arkaprabha, Ramachandra, Nesar, Bessac, Julie, Constantinescu, Emil |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Uncovering Physical Drivers of Dark Matter Halo Structures with Auxiliary-Variable-Guided Generative Models
por: Ganguli, Arkaprabha, et al.
Publicado: (2026)
por: Ganguli, Arkaprabha, et al.
Publicado: (2026)
Disentangled Deep Priors for Bayesian Inverse Problems
por: Ganguli, Arkaprabha, et al.
Publicado: (2026)
por: Ganguli, Arkaprabha, et al.
Publicado: (2026)
Summary Statistics of Large-scale Model Outputs for Observation-corrected Outputs
por: Chakraborty, Atlanta, et al.
Publicado: (2025)
por: Chakraborty, Atlanta, et al.
Publicado: (2025)
Multi-modal Bayesian Neural Network Surrogates with Conjugate Last-Layer Estimation
por: Taylor, Ian, et al.
Publicado: (2025)
por: Taylor, Ian, et al.
Publicado: (2025)
Latent Space Disentanglement via Activation Steering for Interpretable Attribute Control in Symbolic Music Generation
por: Prokopiou, Ioannis, et al.
Publicado: (2026)
por: Prokopiou, Ioannis, et al.
Publicado: (2026)
Reflections on Disentanglement and the Latent Space
por: Schaerf, Ludovica
Publicado: (2024)
por: Schaerf, Ludovica
Publicado: (2024)
Disentangled Latent Spaces for Reduced Order Models using Deterministic Autoencoders
por: Schwarz, Henning, et al.
Publicado: (2025)
por: Schwarz, Henning, et al.
Publicado: (2025)
CTTVAE: Latent Space Structuring for Conditional Tabular Data Generation on Imbalanced Datasets
por: Devic, Milosh, et al.
Publicado: (2026)
por: Devic, Milosh, et al.
Publicado: (2026)
A Unified Latent Space Disentanglement VAE Framework with Robust Disentanglement Effectiveness Evaluation
por: Lang, Xiaoan, et al.
Publicado: (2026)
por: Lang, Xiaoan, et al.
Publicado: (2026)
Distributional Sensitivity Analysis: Enabling Differentiability in Sample-Based Inference
por: Chuang, Pi-Yueh, et al.
Publicado: (2025)
por: Chuang, Pi-Yueh, et al.
Publicado: (2025)
Compositional Generalization via Forced Rendering of Disentangled Latents
por: Liang, Qiyao, et al.
Publicado: (2025)
por: Liang, Qiyao, et al.
Publicado: (2025)
Interpretable Generalized Additive Models for Datasets with Missing Values
por: McTavish, Hayden, et al.
Publicado: (2024)
por: McTavish, Hayden, et al.
Publicado: (2024)
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning
por: Skenderi, Geri, et al.
Publicado: (2023)
por: Skenderi, Geri, et al.
Publicado: (2023)
Differentiable DG with Neural Operator Source Term Correction
por: Kang, Shinhoo, et al.
Publicado: (2023)
por: Kang, Shinhoo, et al.
Publicado: (2023)
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
por: Hahm, Jaehoon, et al.
Publicado: (2024)
por: Hahm, Jaehoon, et al.
Publicado: (2024)
Improving the Predictability of the Madden-Julian Oscillation at Subseasonal Scales with Gaussian Process Models
por: Chen, Haoyuan, et al.
Publicado: (2025)
por: Chen, Haoyuan, et al.
Publicado: (2025)
Sculpting Latent Spaces With MMD: Disentanglement With Programmable Priors
por: Fruytier, Quentin, et al.
Publicado: (2025)
por: Fruytier, Quentin, et al.
Publicado: (2025)
Gradient-Guided Exploration of Generative Model's Latent Space for Controlled Iris Image Augmentations
por: Mitcheff, Mahsa, et al.
Publicado: (2025)
por: Mitcheff, Mahsa, et al.
Publicado: (2025)
Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed
por: Goldwyn, Harrison J., et al.
Publicado: (2025)
por: Goldwyn, Harrison J., et al.
Publicado: (2025)
SynMorph: Generating Synthetic Face Morphing Dataset with Mated Samples
por: Zhang, Haoyu, et al.
Publicado: (2024)
por: Zhang, Haoyu, et al.
Publicado: (2024)
Image and Video Quality Assessment using Prompt-Guided Latent Diffusion Models for Cross-Dataset Generalization
por: Mitra, Shankhanil, et al.
Publicado: (2024)
por: Mitra, Shankhanil, et al.
Publicado: (2024)
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes
por: McCart, Jonathan D., et al.
Publicado: (2024)
por: McCart, Jonathan D., et al.
Publicado: (2024)
Aircraft Trajectory Dataset Augmentation in Latent Space
por: Yoon, Seokbin, et al.
Publicado: (2025)
por: Yoon, Seokbin, et al.
Publicado: (2025)
Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces
por: Geissler, Daniel, et al.
Publicado: (2024)
por: Geissler, Daniel, et al.
Publicado: (2024)
Latent Space Factorization in LoRA
por: Kumar, Shashi, et al.
Publicado: (2025)
por: Kumar, Shashi, et al.
Publicado: (2025)
Less Is More: Generating Time Series with LLaMA-Style Autoregression in Simple Factorized Latent Spaces
por: Li, Siyuan, et al.
Publicado: (2025)
por: Li, Siyuan, et al.
Publicado: (2025)
Exploring Representation-Aligned Latent Space for Better Generation
por: Xu, Wanghan, et al.
Publicado: (2025)
por: Xu, Wanghan, et al.
Publicado: (2025)
Advancing Generalization in PINNs through Latent-Space Representations
por: Wang, Honghui, et al.
Publicado: (2024)
por: Wang, Honghui, et al.
Publicado: (2024)
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
por: Kouzelis, Theodoros, et al.
Publicado: (2025)
por: Kouzelis, Theodoros, et al.
Publicado: (2025)
Multi-Objective Latent Space Optimization of Generative Molecular Design Models
por: Abeer, A N M Nafiz, et al.
Publicado: (2022)
por: Abeer, A N M Nafiz, et al.
Publicado: (2022)
Differentiable Autoencoding Neural Operator for Interpretable and Integrable Latent Space Modeling
por: Viknesh, Siva, et al.
Publicado: (2025)
por: Viknesh, Siva, et al.
Publicado: (2025)
Multi-task Modeling for Engineering Applications with Sparse Data
por: Comlek, Yigitcan, et al.
Publicado: (2026)
por: Comlek, Yigitcan, et al.
Publicado: (2026)
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis
por: Su, Jiayu, et al.
Publicado: (2024)
por: Su, Jiayu, et al.
Publicado: (2024)
Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space
por: Pal, Shivam, et al.
Publicado: (2025)
por: Pal, Shivam, et al.
Publicado: (2025)
Streaming Operator Inference for Model Reduction of Large-Scale Dynamical Systems
por: Koike, Tomoki, et al.
Publicado: (2026)
por: Koike, Tomoki, et al.
Publicado: (2026)
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models
por: Haas, René, et al.
Publicado: (2023)
por: Haas, René, et al.
Publicado: (2023)
Disentanglement of Variations with Multimodal Generative Modeling
por: Zhang, Yijie, et al.
Publicado: (2025)
por: Zhang, Yijie, et al.
Publicado: (2025)
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions
por: Kulkarni, Adithya, et al.
Publicado: (2025)
por: Kulkarni, Adithya, et al.
Publicado: (2025)
A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science
por: Bischoff, Sebastian, et al.
Publicado: (2024)
por: Bischoff, Sebastian, et al.
Publicado: (2024)
Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery
por: Pan, Jeanny, et al.
Publicado: (2025)
por: Pan, Jeanny, et al.
Publicado: (2025)
Ejemplares similares
-
Uncovering Physical Drivers of Dark Matter Halo Structures with Auxiliary-Variable-Guided Generative Models
por: Ganguli, Arkaprabha, et al.
Publicado: (2026) -
Disentangled Deep Priors for Bayesian Inverse Problems
por: Ganguli, Arkaprabha, et al.
Publicado: (2026) -
Summary Statistics of Large-scale Model Outputs for Observation-corrected Outputs
por: Chakraborty, Atlanta, et al.
Publicado: (2025) -
Multi-modal Bayesian Neural Network Surrogates with Conjugate Last-Layer Estimation
por: Taylor, Ian, et al.
Publicado: (2025) -
Latent Space Disentanglement via Activation Steering for Interpretable Attribute Control in Symbolic Music Generation
por: Prokopiou, Ioannis, et al.
Publicado: (2026)