Scholar
Paul Hagemann
Google Scholar ID: -IZIcqMAAAAJ
PhD Student, TU Berlin
Generative Modelling
Inverse Problems
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Citations & Impact
All-time
Citations
402
H-index
11
i10-index
11
Publications
17
Co-authors
20
list available
Publications
5 items
Representations from Pretrained Machine-Learning Interatomic Potentials as Coarse Coordinates for Material Generation and Evaluation
2026
Cited
0
Transport Novelty Distance: A Distributional Metric for Evaluating Material Generative Models
2025
Cited
0
Provable Mixed-Noise Learning with Flow-Matching
2025
Cited
0
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
arXiv.org · 2024
Cited
2
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching
arXiv.org · 2024
Cited
15
Co-authors
11 total
Gabriele Steidl
TU Berlin
Johannes Hertrich
Université Paris-Dauphine
Jannis Chemseddine
Technische Universität Berlin
Sebastian Neumayer
Professor, TU Chemnitz
Alexander Denker
University College London
Nicole Tianjiao Yang
University of Tennessee, Knoxville
Lars Ruthotto
Emory University
Ségolène Martin
Postdoc, TU Berlin
