Skip to content

Author

Thomas Hofmann

We have 2 of 5 papers

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.

#artificial intelligence Preprint Sep 2026

DR-net-Mamba: Selective State-Space Modeling for Long-Range ECG Time-Series Denoising

Electrocardiogram (ECG) recordings are corrupted by non-stationary noise sources that degrade diagnostic reliability, particularly in ambulatory and long-duration recordings. Deep learning denoisers exist, but convolutional architectures are limited by their receptive field, transformer-based models scale quadratically...

Basile Morel, Samuel Ruipérez-Campillo, Andreas P. Streich et al. · 0 citations
Jul 2026

What Does a Discrete Diffusion Model Learn?

This framework identifies which law each loss in the literature actually optimizes, recovering MDM, UDM, SEDD, and GIDD as special cases; explains why denoiser and cavity coincide for masked diffusion but not for uniform diffusion; proves that a denoiser parameterization makes the uniform ELBO diverge at initialization...

Rodrigo Casado Noguerales, B. Schölkopf, Thomas Hofmann et al. · 1 citation

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.