:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Belgaid, Abdelghani, Ennaji, Oumnia
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2506.13123
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Statistical Analysis of the Impact of FIA Regulations on Safety, Racing Dynamics, and Spectacle in Formula 1
by: Belgaid, Abdelghani
Published: (2024)

Improving Predictions on Highly Unbalanced Data Using Open Source Synthetic Data Upsampling
by: Krchova, Ivona, et al.
Published: (2025)

Democratizing Tabular Data Access with an Open$\unicode{x2013}$Source Synthetic$\unicode{x2013}$Data SDK
by: Krchova, Ivona, et al.
Published: (2025)

Generating Synthetic Electronic Health Record Data: a Methodological Scoping Review with Benchmarking on Phenotype Data and Open-Source Software
by: Chen, Xingran, et al.
Published: (2024)

A Comparative Study of Open-Source Libraries for Synthetic Tabular Data Generation: SDV vs. SynthCity
by: Del Gobbo, Cristian
Published: (2025)

Entropy-Regularized Adjoint Matching for Offline Reinforcement Learning
by: Ghanem, Abdelghani, et al.
Published: (2026)

QFed: Parameter-Compact Quantum-Classical Federated Learning
by: Abdelghani, Samar, et al.
Published: (2026)

Knowledge Distillation Using Frontier Open-source LLMs: Generalizability and the Role of Synthetic Data
by: Shirgaonkar, Anup, et al.
Published: (2024)

An Open-Source, Open Data Approach to Activity Classification from Triaxial Accelerometry in an Ambulatory Setting
by: Nikookar, Sepideh, et al.
Published: (2026)

eipy: An Open-Source Python Package for Multi-modal Data Integration using Heterogeneous Ensembles
by: Bennett, Jamie J. R., et al.
Published: (2024)

OpenVLA: An Open-Source Vision-Language-Action Model
by: Kim, Moo Jin, et al.
Published: (2024)

Comparative Analysis of Open-Source Language Models in Summarizing Medical Text Data
by: Chen, Yuhao, et al.
Published: (2024)

Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?
by: Perez, Ileana Montoya, et al.
Published: (2024)

Risks and Opportunities of Open-Source Generative AI
by: Eiras, Francisco, et al.
Published: (2024)

OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
by: Toshniwal, Shubham, et al.
Published: (2024)

Open-Amp: Synthetic Data Framework for Audio Effect Foundation Models
by: Wright, Alec, et al.
Published: (2024)

Towards Watermarking of Open-Source LLMs
by: Gloaguen, Thibaud, et al.
Published: (2025)

TorchResist: Open-Source Differentiable Resist Simulator
by: Wang, Zixiao, et al.
Published: (2025)

Octo: An Open-Source Generalist Robot Policy
by: Octo Model Team, et al.
Published: (2024)

XL-Suite: Cross-Lingual Synthetic Training and Evaluation Data for Open-Ended Generation
by: Iyer, Vivek, et al.
Published: (2025)

The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI
by: Momha, Marcelle
Published: (2025)

TAEGAN: Generating Synthetic Tabular Data For Data Augmentation
by: Li, Jiayu, et al.
Published: (2024)

MCRAGE: Synthetic Healthcare Data for Fairness
by: Behal, Keira, et al.
Published: (2023)

Utility Theory of Synthetic Data Generation
by: Xu, Shirong, et al.
Published: (2023)

Structured Evaluation of Synthetic Tabular Data
by: Yang, Scott Cheng-Hsin, et al.
Published: (2024)

Should I use Synthetic Data for That? An Analysis of the Suitability of Synthetic Data for Data Sharing and Augmentation
by: Kulynych, Bogdan, et al.
Published: (2026)

MCAnalysis: An Open-Source Package for Preprocessing, Modelling, and Visualisation of Menstrual Cycle Effects in Digital Health Data
by: Delray, Kyra, et al.
Published: (2026)

OpenAutoNLU: Open Source AutoML Library for NLU
by: Arshinov, Grigory, et al.
Published: (2026)

Open-Source High-Speed Flight Surrogate Modeling Framework
by: Korenyi-Both, Tyler E., et al.
Published: (2024)

Beyond Real Data: Synthetic Data through the Lens of Regularization
by: Shidani, Amitis, et al.
Published: (2025)

Diffusion Models for Tabular Data Imputation and Synthetic Data Generation
by: Villaizán-Vallelado, Mario, et al.
Published: (2024)

Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data
by: Xia, Yu, et al.
Published: (2024)

Synthetic Data Privacy Metrics
by: Steier, Amy, et al.
Published: (2025)

Synthetic Data Applications in Finance
by: Potluru, Vamsi K., et al.
Published: (2023)

High-dimensional Analysis of Synthetic Data Selection
by: Rezaei, Parham, et al.
Published: (2025)

Context-Free Synthetic Data Mitigates Forgetting
by: Bansal, Parikshit, et al.
Published: (2025)

Boosting Data Analytics With Synthetic Volume Expansion
by: Shen, Xiaotong, et al.
Published: (2023)

Expert Routing with Synthetic Data for Continual Learning
by: Byun, Yewon, et al.
Published: (2024)

Causal Synthetic Data Generation in Recruitment
by: Iommi, Andrea, et al.
Published: (2025)

Helix 1.0: An Open-Source Framework for Reproducible and Interpretable Machine Learning on Tabular Scientific Data
by: Aguilar-Bejarano, Eduardo, et al.
Published: (2025)