Cassel, J., Schlindwein, F., Albers, P., & Schnörr, C. (2025). Bundle Scale Spaces and Local Gauge Symmetries for Graph Networks. In 10th Int. Conf. on Scale Space and Variational Methods in Computer Vision (SSVM); in press.
Gonzalez-Alvarado, D., Schlindwein, F., Cassel, J., Steingruber, L., Petra, S., & Schnörr, C. (2025). Riemannian Patch Assignment Gradient Flows. In 10th Int. Conf. on Scale Space and Variational Methods in Computer Vision (SSVM); in press.
Boll, B., Gonzalez-Alvarado, D., Petra, S., & Schnörr, C. (2025). Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data. J. Math. Imaging Vision; in press (preprint arXiv:2406.04527).
2024
Cassel, J., Boll, B., Petra, S., Albers, P., & Schnörr, C. (2024). Sigma Flows for Image and Data Labeling and Learning Structured Prediction. preprint arXiv:2408.15946. arXiv
Sorrenson, P., Behrend-Uriarte, D., Schnörr, C., & Köthe, U. (2024). Learning Distances from Data with Normalizing Flows and Score Matching. preprint arXiv:2407.09297. arXiv
Sanmartín, E. F., Schnörr, C., & Hamprecht, F.A. (2024). The Central Spanning Tree Problem. preprint arXiv:2404.06447. arXiv
Savarino, F., Albers, P., & Schnörr, C. (2024). On the Geometric Mechanics of Assignment Flows for Metric Data Labeling. Information Geometry, 7, 1–31. DOI
Boll, B., Gonzalez-Alvarado, D., Petra, S., & Schnörr, C. (2024). Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data. preprint arXiv:2406.04527. arXiv
Boll, B., Gonzalez-Alvarado, D., & Schnörr, C. (2024). Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds. preprint arXiv:2402.07846. arXiv
Draxler, F., Wahl, S., Schnörr, C., & Köthe, U. (2024). On the Universality of Coupling-based Normalizing Flows. ICML (preprint arXiv:2402.06578). arXiv
Hans, M., Kath, E., Sparn, M., Liebster, N., Strobel, H., Oberthaler, M. K., Draxler, F., & Schnörr, C. (2024). Bose Einstein Condensate as Nonlinear Block of a Machine Learning Pipeline. Physical Review Research, 6, 013122.
Boll, B., Cassel, J., Albers, P., Petra, S., & Schnörr, C. (2024). A Geometric Embedding Approach to Multiple Games and Multiple Populations. preprint arXiv:2401.05918. arXiv
2023
Boll, B. and Schnörr, C. (2023). On Certified Generalization in Structured Prediction. NeurIPS.
Homeyer, C. and Schnörr, C. (2023). On Moving Object Segmentation from Monocular Video with Transformers. In Proc. IEEE/CVF International Conference on Computer Vision, 880–891.
Schwarz, J., Cassel, J., Boll, B., Gärtner, M., Albers, P. and Schnörr, C. (2023). Quantum State Assignment Flows. Entropy, 25(9):1253.
Draxler, F., Kühmichel, L., Rousselot, A., Müller, J., Schnörr, C. and Köthe, U. (2023). On the Convergence Rate of Gaussianization with Random Rotations. ICML.
Boll, B., Zeilmann, A., Petra, S. and Schnörr, C. (2023). Self-Certifying Classification by Linearized Deep Assignment. PAMM: Proc. Appl. Math. Mech., 23(1):e202200169.
Hans, M., Kath, E., Sparn, M., Liebster, N., Draxler, F., Schnörr, C., Strobel, H. and Oberthaler, M. K. (2023). Bose Einstein Condensate as Nonlinear Block of a Machine Learning Pipeline. Physical Review Letters.
Boll, B., Schwarz, J., Gonzalez-Alvarado, D., Sitenko, D., Petra, S. and Schnörr, C. (2023). Modeling Large-scale Joint Distributions and Inference by Randomized Assignment. In 9th Int. Conf. on Scale Space and Variational Methods in Computer Vision (SSVM), LNCS 14009:730–742.
Schwarz, J., Boll, B., Sitenko, D., Gonzalez-Alvarado, D., Gärtner, M., Albers, P. and Schnörr, C. (2023). Quantum State Assignment Flows. In 9th Int. Conf. on Scale Space and Variational Methods in Computer Vision (SSVM), LNCS 14009:743–756.
Kahl, M. M., Petra, S., Schnörr, C., Steidl, G. and Zisler, M. (2023). On the Remarkable Efficiency of the SMART Iteration. In 9th Int. Conf. on Scale Space and Variational Methods in Computer Vision (SSVM), LNCS 14009:418–430.
Schnörr, D. and Schnörr, C. (2023). Learning System Parameters from Turing Patterns. Machine Learning, 112:3151–3190.
Sitenko, D., Boll, B. and Schnörr, C. (2023). A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling. SIAM J. Imaging Sciences, 16(1):501–567.
