Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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How robust is randomized blind deconvolution via nuclear norm minimization against adversarial noise?
Kostin, J., Krahmer, F. & Stöger, D., Apr 2025, In: Applied and Computational Harmonic Analysis. 76, 101746.Research output: Contribution to journal › Article › peer-review
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Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images
Hoppe, F., Verdun, C. M., Laus, H., Endt, S., Menzel, M. I., Krahmer, F. & Rauhut, H., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 432-450 19 p. (Lecture Notes in Computer Science; vol. 15136 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent
Karnik, S., Veselovska, A., Iwen, M. & Krahmer, F., 2025, In: Proceedings of Machine Learning Research. 267, p. 29148-29204 57 p.Research output: Contribution to journal › Conference article › peer-review