Jannis Chemseddine

According to our database, Jannis Chemseddine authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Spherical Flows for Sampling Categorical Data.

Jannis Chemseddine, Gregor Kornhardt, Gabriele Steidl

CoRR, May, 2026

Self-Aware Markov Models for Discrete Reasoning.

Gregor Kornhardt, Jannis Chemseddine, Christian Wald, Gabriele Steidl

CoRR, March, 2026

2025

Adapting Noise to Data: Generative Flows from 1D Processes.

Jannis Chemseddine, Gregor Kornhardt, Richard Duong, Gabriele Steidl

CoRR, October, 2025

Telegrapher's Generative Model via Kac Flows.

Richard Duong, Jannis Chemseddine, Peter K. Friz, Gabriele Steidl

CoRR, June, 2025

Trajectory Generator Matching for Time Series.

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

CoRR, May, 2025

Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching.

Jannis Chemseddine, Paul Hagemann, Gabriele Steidl, Christian Wald

J. Mach. Learn. Res., 2025

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

Jannis Chemseddine, Christian Wald, Richard Duong, Gabriele Steidl

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances.

Jannis Chemseddine, Paul Hagemann, Christian Wald

CoRR, 2023