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cs.LG2026
DocDjinn: Controllable Synthetic Document Generation with VLMs and Handwriting Diffusion
Marcel Lamott, Saifullah Saifullah, Nauman Riaz +11
Effective document intelligence models rely on large amounts of annotated training data. However, procuring sufficient and high-quality data poses significant challenges due to the…
cs.LG2025
From Regression to Classification: Exploring the Benefits of Categorical Representations of Energy in MLIPs
Ahmad Ali
Density Functional Theory (DFT) is a widely used computational method for estimating the energy and behavior of molecules. Machine Learning Interatomic Potentials (MLIPs) are model…
cs.LG2025
Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking
Dayananda Herurkar, Ahmad Ali, Andreas Dengel
Generative models have revolutionized multiple domains, yet their application to tabular data remains underexplored. Evaluating generative models for tabular data presents unique c…