Cover Image

GUIDE-VAE: Advancing Data Generation with User Information and Pattern Dictionaries

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bölat, Kutay, Tindemans, Simon
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

One Model to Forecast Them All and in Entity Distributions Bind Them
by: Bölat, Kutay, et al.
Published: (2025)

The Living Forecast: Evolving Day-Ahead Predictions into Intraday Reality
by: Bölat, Kutay, et al.
Published: (2025)

Stable Training of Probabilistic Models Using the Leave-One-Out Maximum Log-Likelihood Objective
by: Bölat, Kutay, et al.
Published: (2023)

Clustering Rooftop PV Systems via Probabilistic Embeddings
by: Bölat, Kutay, et al.
Published: (2025)

Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders
by: Sundsgaard, Konrad, et al.
Published: (2025)

MLMC-based Resource Adequacy Assessment with Active Learning Trained Surrogate Models
by: Zhang, Ruiqi, et al.
Published: (2025)

CardioPatternFormer: Pattern-Guided Attention for Interpretable ECG Classification with Transformer Architecture
by: Uğraş, Berat Kutay, et al.
Published: (2025)

Pref-GUIDE Dataset
by: Ji, Zhengran
Published: (2025)

Iterative Amortized Hierarchical VAE
by: Penninga, Simon W., et al.
Published: (2026)

Data-Efficient and Robust Trajectory Generation through Pathlet Dictionary Learning
by: Tang, Yuanbo, et al.
Published: (2025)

Comparative Analysis of MDL-VAE vs. Standard VAE on 202 Years of Gynecological Data
by: Santos, Paula
Published: (2025)

GUIDE: Guided Initialization and Distillation of Embeddings
by: Trinh, Khoa, et al.
Published: (2025)

Dictionary Based Pattern Entropy for Causal Direction Discovery
by: B, Harikrishnan N, et al.
Published: (2026)

Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
by: Chen, Qi, et al.
Published: (2025)

Dictionary-Transform Generative Adversarial Networks
by: Majumdar, Angshul
Published: (2025)

Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping
by: Wei, Yuan-Hao, et al.
Published: (2024)

GQ-VAE: A gated quantized VAE for learning variable length tokens
by: Datta, Theo, et al.
Published: (2025)

High-Quality Tabular Data Generation using Post-Selected VAE
by: Shulakov, Volodymyr
Published: (2024)

GUIDE: Guidance-based Incremental Learning with Diffusion Models
by: Cywiński, Bartosz, et al.
Published: (2024)

ReGUIDE: Data Efficient GUI Grounding via Spatial Reasoning and Search
by: Lee, Hyunseok, et al.
Published: (2025)

Graph-Dictionary Signal Model for Sparse Representations of Multivariate Data
by: Cappelletti, William, et al.
Published: (2024)

Reinforcement Learning by Guided Safe Exploration
by: Yang, Qisong, et al.
Published: (2023)

Conditional Flow-VAE for Safety-Critical Traffic Scenario Generation
by: Gong, Zimu, et al.
Published: (2026)

Enhancing the Parameterization of Reservoir Properties for Data Assimilation Using Deep VAE-GAN
by: Sampaio, M. A., et al.
Published: (2026)

GUIDE: Towards Scalable Advising for Research Ideas
by: Liu, Yaowenqi, et al.
Published: (2025)

IF-GUIDE: Influence Function-Guided Detoxification of LLMs
by: Coalson, Zachary, et al.
Published: (2025)

Density-Informed VAE (DiVAE): Reliable Log-Prior Probability via Density Alignment Regularization
by: Alessi, Michele, et al.
Published: (2025)

From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers
by: Large, James, et al.
Published: (2018)

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
by: Kouzelis, Theodoros, et al.
Published: (2025)

GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes
by: Khamesian, Saman, et al.
Published: (2026)

CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
by: Unell, Alyssa, et al.
Published: (2025)

ECG Classification on PTB-XL: A Data-Centric Approach with Simplified CNN-VAE
by: Mehdi, Naqcho Ali, et al.
Published: (2026)

Inversion of Magnetic Data using Learned Dictionaries and Scale Space
by: Ahamed, Shadab, et al.
Published: (2025)

GUIDE: Real-Time Human-Shaped Agents
by: Zhang, Lingyu, et al.
Published: (2024)

Covariance-Aware Transformers for Quadratic Programming and Decision Making
by: Tire, Kutay, et al.
Published: (2026)

Dictionary-Learning-Based Data Pruning for System Identification
by: Wang, Tingna, et al.
Published: (2025)

How Neural Losses Shape VAE Latents
by: Strano, Giorgio, et al.
Published: (2026)

A VAE Approach to Sample Multivariate Extremes
by: Lafon, Nicolas, et al.
Published: (2023)

CoVAE: Consistency Training of Variational Autoencoders
by: Silvestri, Gianluigi, et al.
Published: (2025)

Synthetic Aircraft Trajectory Generation Using Time-Based VQ-VAE
by: Murad, Abdulmajid, et al.
Published: (2025)