Jannis Chemseddine

Publications

2026

Spherical Flows for Sampling Categorical Data

Jannis Chemseddine*, Gregor Kornhardt, Gabriele Steidl

NeurIPS 2026 Spotlight paper code
Adapting Noise to Data: Generative Flows from 1D Processes

Jannis Chemseddine*, Gregor Kornhardt*, Richard Duong, Gabriele Steidl

ICML 2026 paper code
Telegrapher's Generative Model via Kac Flows

Richard Duong*, Jannis Chemseddine*, PK Friz, Gabriele Steidl

SIAM Review paper code
2025

Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry

Jannis Chemseddine, Christian Wald, Richard Duong, Gabriele Steidl

ICLR 2025 paper
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching

Jannis Chemseddine, Paul Hagemann, Christian Wald, Gabriele Steidl

JMLR 26(141) paper code
2024

Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel

Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl

ICLR 2024 paper code

2026

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

Gregor Kornhardt*, Moritz Piening, Jannis Chemseddine, Gabriele Steidl

arXiv paper code website
Self-Aware Markov Models for Discrete Reasoning

Gregor Kornhardt*, Jannis Chemseddine*, Christian Wald, Gabriele Steidl

ICLR 2026 Workshop · LLM Reasoning paper
2025

Trajectory Generator Matching for Time Series

T. Jahn, Jannis Chemseddine, Paul Hagemann, Christian Wald, Gabriele Steidl

arXiv paper

2026

Advances in Continuous Diffusion Language Models

dida conference · Berlin video
Language Modeling with Spherical Geometry

Discrete Diffusion Reading Group video
Spherical Flows for Sampling Categorical Data

DeLTa Workshop · ICLR 2026 · Rio de Janeiro