Christian Wald

22 papers A* 2Journal 15Unranked 5
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
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching.
J. Mach. Learn. Res.
Jannis Chemseddine, Paul Hagemann, Gabriele Steidl, Christian Wald
2025 J jnl
Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans.
CoRR
Christian Wald, Gabriele Steidl
2025 — conf
Investigation on Microliter Free Jetting Using a Piezoelectric Micro Pump.
BIOSTEC (1)
Anne Zimmermann, Jasmin Podlech, Daniel Anheuer, 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
Trajectory Generator Matching for Time Series.
CoRR
T. Jahn, Jannis Chemseddine, Paul Hagemann, Christian Wald, Gabriele Steidl
2024 — conf
Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure.
MIDL
Bernhard Föllmer, Kenrick Schulze, Christian Wald, Sebastian Stober, Wojciech Samek, Marc Dewey
2024 J jnl
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching.
CoRR
Jannis Chemseddine, Paul Hagemann, Christian Wald, Gabriele Steidl
2024 A* conf
Generative Sliced MMD Flows with Riesz Kernels.
ICLR
Johannes Hertrich, Christian Wald, Fabian Altekrüger, Paul Hagemann
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 J jnl
Sparse additive function decompositions facing basis transforms.
CoRR
Fatima Antarou Ba, Oleh Melnyk, Christian Wald, Gabriele Steidl
2023 J jnl
A Study of Particle Motion in the Presence of Clusters.
CoRR
Christian Wald, Gabriele Steidl
2023 J jnl
Generative Sliced MMD Flows with Riesz Kernels.
CoRR
Johannes Hertrich, Christian Wald, Fabian Altekrüger, Paul Hagemann
2023 J jnl
Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances.
CoRR
Jannis Chemseddine, Paul Hagemann, Christian Wald
2022 J jnl
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks.
CoRR
Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
2022 — conf
Convolutional Analysis Operator Learning by End-to-End Training of Iterative Neural Networks.
ISBI
Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
2022 — conf
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks.
EUSIPCO
Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
2022 J jnl
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks.
CoRR
Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
2020 — conf
Amplitude Modulation in a Molecular Communication Testbed with Superparamagnetic Iron Oxide Nanoparticles and a Micropump.
BODYNETS
Max Bartunik, Thomas Thalhofer, Christian Wald, Martin Richter, Georg Fischer, Jens Kirchner
2020 J jnl
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data.
IEEE Trans. Medical Imaging
Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christian Wald, Christoph Kolbitsch
2019 J jnl
Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging.
CoRR
Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Marc Kachelrieß, Marc Dewey, Christian Wald, Christoph Kolbitsch
2019 J jnl
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data.
CoRR
Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christian Wald, Christoph Kolbitsch