Author

J. Chemseddine

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Oct 2026

SOL: Measuring Gaps between Text Distributions by Double Sliced Wasserstein Metrics

Evaluating text generation requires measuring how well the generated distribution matches the data distribution. For autoregressive models, this is done by the perplexity. Diffusion and flow-based language models can only provide a likelihood bound, whose tightness differs between model families. Sample-based substitut...

Gregor Kornhardt, Moritz Piening, J. Chemseddine et al. · 0 citations

#machine learning Preprint May 2025

A Jump-Diffusion Framework for Irregular Time Series Generation

The key ingredient is that, for a constructed jump bridge, a parametrization of the jump kernel densities by scaled Gaussians admits closed-form expressions for the Kullback-Leibler divergence, allowing simulation-free training.

O. Pfohl, J. Chemseddine, P. Hagemann et al. · 1 citation