Saved in:
| Main Authors: | Thiry, Zachari, Ruocco, Massimiliano, Nocente, Alessandro, Spitieris, Michail |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.04890 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoders
by: Spitieris, Michail, et al.
Published: (2025)
by: Spitieris, Michail, et al.
Published: (2025)
Synthetic Aircraft Trajectory Generation Using Time-Based VQ-VAE
by: Murad, Abdulmajid, et al.
Published: (2025)
by: Murad, Abdulmajid, et al.
Published: (2025)
Pre-Tactical Flight-Delay and Turnaround Forecasting with Synthetic Aviation Data
by: Murad, Abdulmajid, et al.
Published: (2025)
by: Murad, Abdulmajid, et al.
Published: (2025)
SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco Networks
by: Kristoffersen, Simen, et al.
Published: (2024)
by: Kristoffersen, Simen, et al.
Published: (2024)
Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
by: Larsen, Olav Finne Praesteng, et al.
Published: (2025)
by: Larsen, Olav Finne Praesteng, et al.
Published: (2025)
Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks
by: Malacarne, Sara, et al.
Published: (2026)
by: Malacarne, Sara, et al.
Published: (2026)
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
by: Taga, Ege Onur, et al.
Published: (2025)
by: Taga, Ege Onur, et al.
Published: (2025)
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications
by: Saad, Elie, et al.
Published: (2025)
by: Saad, Elie, et al.
Published: (2025)
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation
by: Vishwakarma, Rahul, et al.
Published: (2025)
by: Vishwakarma, Rahul, et al.
Published: (2025)
Enhancing Table Representations with LLM-powered Synthetic Data Generation
by: Yang, Dayu, et al.
Published: (2024)
by: Yang, Dayu, et al.
Published: (2024)
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
by: Marisca, Ivan, et al.
Published: (2024)
by: Marisca, Ivan, et al.
Published: (2024)
Does Synthetic Data Help? Empirical Evidence from Deep Learning Time Series Forecasters
by: Cazaux, Hugo, et al.
Published: (2026)
by: Cazaux, Hugo, et al.
Published: (2026)
Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation
by: Santos, Moisés, et al.
Published: (2023)
by: Santos, Moisés, et al.
Published: (2023)
Synthetic Data Privacy Metrics
by: Steier, Amy, et al.
Published: (2025)
by: Steier, Amy, et al.
Published: (2025)
Are Synthetic Time-series Data Really not as Good as Real Data?
by: Fu, Fanzhe, et al.
Published: (2024)
by: Fu, Fanzhe, et al.
Published: (2024)
Valid Inference with Imperfect Synthetic Data
by: Byun, Yewon, et al.
Published: (2025)
by: Byun, Yewon, et al.
Published: (2025)
Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
by: Ulm, Jannek, et al.
Published: (2025)
by: Ulm, Jannek, et al.
Published: (2025)
Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks
by: Guo, Suhan, et al.
Published: (2025)
by: Guo, Suhan, et al.
Published: (2025)
Agentics 2.0: Logical Transduction Algebra for Agentic Data Workflows
by: Gliozzo, Alfio Massimiliano, et al.
Published: (2026)
by: Gliozzo, Alfio Massimiliano, et al.
Published: (2026)
Differentially Private Synthetic Data Release for Topics API Outputs
by: Dick, Travis, et al.
Published: (2025)
by: Dick, Travis, et al.
Published: (2025)
Attention-Enhanced LSTM Modeling for Improved Temperature and Rainfall Forecasting in Bangladesh
by: Joy, Usman Gani, et al.
Published: (2025)
by: Joy, Usman Gani, et al.
Published: (2025)
Trinity: Unifying Class-Agnostic Terrain and Semantic Segmentation for Unstructured Outdoor Environments by Leveraging Synthetic Data
by: Müller, Marcus G, et al.
Published: (2026)
by: Müller, Marcus G, et al.
Published: (2026)
Self-Improving Diffusion Models with Synthetic Data
by: Alemohammad, Sina, et al.
Published: (2024)
by: Alemohammad, Sina, et al.
Published: (2024)
Synthetic Data Generation for Augmenting Small Samples
by: Liu, Dan, et al.
Published: (2025)
by: Liu, Dan, et al.
Published: (2025)
Data Can Speak for Itself: Quality-guided Utilization of Wireless Synthetic Data
by: Gong, Chen, et al.
Published: (2025)
by: Gong, Chen, et al.
Published: (2025)
Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era
by: Li, Dawei, et al.
Published: (2025)
by: Li, Dawei, et al.
Published: (2025)
Contrast-Enhanced Gating in GRUs for Robust Low-Data Sequence Learning
by: Subramanian, Barathi, et al.
Published: (2024)
by: Subramanian, Barathi, et al.
Published: (2024)
Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation
by: Belcak, Peter, et al.
Published: (2025)
by: Belcak, Peter, et al.
Published: (2025)
Enhancing Machine Learning Performance through Intelligent Data Quality Assessment: An Unsupervised Data-centric Framework
by: Rahal, Manal, et al.
Published: (2025)
by: Rahal, Manal, et al.
Published: (2025)
Metropolis-Scale Resilient and Trustworthy Traffic Flow Inference Using Multi-Source Data
by: Zhou, Qishen, et al.
Published: (2026)
by: Zhou, Qishen, et al.
Published: (2026)
Opportunities and Challenges of Frontier Data Governance With Synthetic Data
by: Thakur, Madhavendra, et al.
Published: (2025)
by: Thakur, Madhavendra, et al.
Published: (2025)
Unlocking Post-hoc Dataset Inference with Synthetic Data
by: Zhao, Bihe, et al.
Published: (2025)
by: Zhao, Bihe, et al.
Published: (2025)
Improving the Scaling Laws of Synthetic Data with Deliberate Practice
by: Askari-Hemmat, Reyhane, et al.
Published: (2025)
by: Askari-Hemmat, Reyhane, et al.
Published: (2025)
Generating High-quality Privacy-preserving Synthetic Data
by: Yavo, David, et al.
Published: (2026)
by: Yavo, David, et al.
Published: (2026)
Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models for Improved Accuracy
by: Biswas, Anjanava, et al.
Published: (2024)
by: Biswas, Anjanava, et al.
Published: (2024)
Synthetic Data Augmentation for Enhancing Harmful Algal Bloom Detection with Machine Learning
by: Huang, Tianyi
Published: (2025)
by: Huang, Tianyi
Published: (2025)
The LLM Data Auditor: A Metric-oriented Survey on Quality and Trustworthiness in Evaluating Synthetic Data
by: Zhang, Kaituo, et al.
Published: (2026)
by: Zhang, Kaituo, et al.
Published: (2026)
IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?
by: Wang, Hua, et al.
Published: (2025)
by: Wang, Hua, et al.
Published: (2025)
Enhancing Machine Learning for Imbalanced Medical Data: A Quantum-Inspired Approach to Synthetic Oversampling (QI-SMOTE)
by: Kashtriya, Vikas, et al.
Published: (2025)
by: Kashtriya, Vikas, et al.
Published: (2025)
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
by: Arunan, Anushiya, et al.
Published: (2025)
by: Arunan, Anushiya, et al.
Published: (2025)
Similar Items
-
PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoders
by: Spitieris, Michail, et al.
Published: (2025) -
Synthetic Aircraft Trajectory Generation Using Time-Based VQ-VAE
by: Murad, Abdulmajid, et al.
Published: (2025) -
Pre-Tactical Flight-Delay and Turnaround Forecasting with Synthetic Aviation Data
by: Murad, Abdulmajid, et al.
Published: (2025) -
SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco Networks
by: Kristoffersen, Simen, et al.
Published: (2024) -
Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
by: Larsen, Olav Finne Praesteng, et al.
Published: (2025)