Jannis Chemseddine

11 papers A* 2Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Self-Aware Markov Models for Discrete Reasoning.
CoRR
Gregor Kornhardt, Jannis Chemseddine, Christian Wald, Gabriele Steidl
2025 J jnl
Adapting Noise to Data: Generative Flows from 1D Processes.
CoRR
Jannis Chemseddine, Gregor Kornhardt, Richard Duong, Gabriele Steidl
2025 J jnl
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching.
J. Mach. Learn. Res.
Jannis Chemseddine, Paul Hagemann, Gabriele Steidl, Christian Wald
2025 A* conf
Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry.
ICLR
Jannis Chemseddine, Christian Wald, Richard Duong, Gabriele Steidl
2025 J jnl
Telegrapher's Generative Model via Kac Flows.
CoRR
Richard Duong, Jannis Chemseddine, Peter K. Friz, Gabriele Steidl
2025 J jnl
Trajectory Generator Matching for Time Series.
CoRR
T. Jahn, Jannis Chemseddine, Paul Hagemann, Christian Wald, Gabriele Steidl
2024 J jnl
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching.
CoRR
Jannis Chemseddine, Paul Hagemann, Christian Wald, Gabriele Steidl
2024 J jnl
Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry.
CoRR
Jannis Chemseddine, Christian Wald, Richard Duong, Gabriele Steidl
2024 A* conf
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel.
ICLR
Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl
2023 J jnl
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel.
CoRR
Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl
2023 J jnl
Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances.
CoRR
Jannis Chemseddine, Paul Hagemann, Christian Wald