Foto von Felix Krahmer

Prof. Dr. Felix Krahmer

Technische Universität München

Postadresse

Postal:
Boltzmannstr. 3
85748 Garching b. München

Employment
2015 - present TUM Tenure Track Assistant Professor for Optimization and Data Analysis, Technische Universität München
2012 - 2015 Juniorprofessor for Mathematical Data Analysis, Institut for Numerical and Applied Mathematics, Georg-August-Universität Göttingen
2009 - 2012 HCM Postdoc in the group of Holger Rauhut, Hausdorff Center for Mathematics, Rheinische Friedrich-Wilhelms-Universität Bonn
Education
2004 - 2009 Graduate Studies in Mathematics, Courant Institute of Mathematical Sciences, New York University
2009 Doctor of Philosophy; advisors: Percy Deift and Sinan Güntürk
2007 Master of Science
2001 - 2004 Undergraduate studies in Mathematics at International University Bremen (now Jacobs University)
2004 Bachelor of Science
2003 - 2004 Study abroad semester in the Maîtrise at Université de Paris Sud, Orsay, France
Grants
2019 August-Wilhelm-Scheer Visting Professorship for Ayush Bhandari (Imperial College London) to visit my research group
2016-2020 Project "Digital Representations of Data on Manifolds", joint with Gitta Kutyniok (TU Berlin) in the context of the Collaborative Research Center TR-109 "Discretization in Geometry and Dynamics" funded by the German Science Foundation (DFG)
2016 Travel grant BayIntAn by the Bavarian Research Alliance supporting a collaboration with Rayan Saab (UCSD) and Mahdi Soltanolkotabi (USC)
2016 August-Wilhelm-Scheer Visting Professorship for Mark Iwen (Michigan State University) to visit my research group
2015-2022 Project "Bilinear Compressed Sensing", joint with David Gross (University of Köln) and Peter Jung (TU Berlin) in the context of the German Science Foundation (DFG) Priority Program 1798 "Compressed Sensing in Information Processing"
2016-2018 German Israeli Foundation Regular Grant "Analysis of Structured Random Matrices in Recovery Problems", joint with Shahar Mendelson (Technion) and Holger Rauhut (RWTH Aachen University)
2014-2021 Emmy Noether Junior Research Group "Randomized Sensing and Quantization of Signals and Images"
2013-2016 Project "Sparsity Constraints for Non-Destructive Testing", joint with Russell Luke (University of Göttingen), as part of the joint project initiative ZeMat funded by the German Ministry of Education and Research (BMBF)

 

Workshop Organization
2019 Special Session "Compressed Sensing and Low-Rank Recovery" at the International Conference on Sampling Theory and Applications (SAMPTA), Bordeaux, France, joint with Richard Kueng
2017 Special Session "Bilinear Inverse Problems" at the International Conference on Sampling Theory and Applications (SAMPTA), Talinn, Estonia, joint with Mahdi Soltanolkotabi
2015 Special Session "Compressed Sensing and Sparse Regularization" at the International Conference on Sampling Theory and Applications (SAMPTA), Washington, DC, joint with Ben Adcock
2014 Mini-Workshop "Mathematical Physics meets Sparse Recovery" at the Mathematisches Forschungsinstitut Oberwolfach, joint with David Gross, Rachel Ward, and Andreas Winter
2013 Workshop "Statistical Issues in Compressive Sensing", Göttingen, joint with Axel Munk
2013 Young Researchers' Minisymposium "Compressed Sensing and Applications" at the GAMM Annual Meeting, Novi Sad, joint with Rayan Saab.
2012 Workshop "Probabilistic Techniques and Algorithms", Austin, TX, joint with Holger Rauhut and Rachel Ward

 

 

2022

  • Bamberger, Stefan; Krahmer, Felix; Ward, Rachel: The Hanson–Wright inequality for random tensors. Sampling Theory, Signal Processing, and Data Analysis 20 (2), 2022 more… Full text ( DOI )
  • Bamberger, Stefan; Krahmer, Felix; Ward, Rachel: Johnson–Lindenstrauss Embeddings with Kronecker Structure. SIAM Journal on Matrix Analysis and Applications 43 (4), 2022, 1806-1850 more… Full text ( DOI )
  • Bhandari, Ayush; Krahmer, Felix; Poskitt, Thomas: Unlimited Sampling From Theory to Practice: Fourier-Prony Recovery and Prototype ADC. IEEE Transactions on Signal Processing 70, 2022, 1131-1141 more… Full text ( DOI )
  • Bhandari, Ayush; Krahmer, Felix; Poskitt, Thomas: Unlimited Sampling From Theory to Practice: Fourier-Prony Recovery and Prototype ADC. IEEE Transactions on Signal Processing 70, 2022, 1131-1141 more… Full text ( DOI )
  • Eisenmann, Henrik; Krahmer, Felix; Pfeffer, Max; Uschmajew, André: Riemannian thresholding methods for row-sparse and low-rank matrix recovery. Numerical Algorithms, 2022 more… Full text ( DOI )
  • Florescu, Dorian; Krahmer, Felix; Bhandari, Ayush: The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments. IEEE Transactions on Signal Processing 70, 2022, 616-630 more… Full text ( DOI )
  • Fuchs, Tim; Gross, David; Krahmer, Felix; Kueng, Richard; Mixon, Dustin: Sketching with Kerdock's Crayons: Fast Sparsifying Transforms for Arbitrary Linear Maps. SIAM Journal on Matrix Analysis and Applications 43 (2), 2022, 939-952 more… Full text ( DOI )
  • Krahmer, Felix; Kümmerle, Christian; Melnyk, Oleh: On the robustness of noise-blind low-rank recovery from rank-one measurements. Linear Algebra and its Applications 652, 2022, 37-81 more… Full text ( DOI )

2021

  • Bhandari, Ayush; Krahmer, Felix; Raskar, Ramesh: On Unlimited Sampling and Reconstruction. IEEE Transactions on Signal Processing 69, 2021, 3827-3839 more… Full text ( DOI )
  • Bhandari, Ayush; Krahmer, Felix; Raskar, Ramesh: On Unlimited Sampling and Reconstruction. IEEE Transactions on Signal Processing 69, 2021, 3827-3839 more… Full text ( DOI )
  • Guédon, Olivier; Krahmer, Felix; Kümmerle, Christian; Mendelson, Shahar; Rauhut, Holger: On the geometry of polytopes generated by heavy-tailed random vectors. Communications in Contemporary Mathematics 24 (03), 2021 more… Full text ( DOI )
  • Kämmerer, Lutz; Krahmer, Felix; Volkmer, Toni: A sample efficient sparse FFT for arbitrary frequency candidate sets in high dimensions. Numerical Algorithms 89 (4), 2021, 1479-1520 more… Full text ( DOI )
  • Verdun, Claudio M.; Fuchs, Tim; Harar, Pavol; Elbrächter, Dennis; Fischer, David S.; Berner, Julius; Grohs, Philipp; Theis, Fabian J.; Krahmer, Felix: Group Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing Strategies. Frontiers in Public Health 9, 2021 more… Full text ( DOI )

2020

  • Krahmer, Felix; Stöger, Dominik: On the Convex Geometry of Blind Deconvolution and Matrix Completion. Communications on Pure and Applied Mathematics 74 (4), 2020, 790-832 more… Full text ( DOI )
  • Krahmer, Felix; Stöger, Dominik: Complex Phase Retrieval from Subgaussian Measurements. Journal of Fourier Analysis and Applications 26 (6), 2020 more… Full text ( DOI )

2014

  • Krahmer, Felix; Mendelson, Shahar; Rauhut, Holger: Suprema of Chaos Processes and the Restricted Isometry Property. Communications on Pure and Applied Mathematics 67 (11), 2014, 1877-1904 more… Full text ( DOI )
  • Krahmer, Felix; Rauhut, Holger: Structured random measurements in signal processing. GAMM-Mitteilungen 37 (2), 2014, 217-238 more… Full text ( DOI )

2011

  • Krahmer, Felix; Ward, Rachel: New and Improved Johnson–Lindenstrauss Embeddings via the Restricted Isometry Property. SIAM Journal on Mathematical Analysis 43 (3), 2011, 1269-1281 more… Full text ( DOI )

2021

  • Florescu, Dorian; Krahmer, Felix; Bhandari, Ayush: Event-Driven Modulo Sampling. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2021 more… Full text ( DOI )
  • Florescu, Dorian; Krahmer, Felix; Bhandari, Ayush: Unlimited Sampling with Hysteresis. 2021 55th Asilomar Conference on Signals, Systems, and Computers, IEEE, 2021 more… Full text ( DOI )
  • Römer, Patricia; Filbir, Frank; Krahmer, Felix: On the randomized Kaczmarz algorithm for phase retrieval. 2021 55th Asilomar Conference on Signals, Systems, and Computers, IEEE, 2021 more… Full text ( DOI )

2020

  • Bhandari, Ayush; Krahmer, Felix: HDR Imaging From Quantization Noise. 2020 IEEE International Conference on Image Processing (ICIP), IEEE, 2020 more… Full text ( DOI )

2019

  • Bhandari, Ayush; Krahmer, Felix: On Identifiability in Unlimited Sampling. 2019 13th International conference on Sampling Theory and Applications (SampTA), IEEE, 2019 more… Full text ( DOI )
  • Graf, Olga; Bhandari, Ayush; Krahmer, Felix: One-bit Unlimited Sampling. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2019 more… Full text ( DOI )

2018

  • Bhandari, Ayush; Krahmer, Felix; Raskar, Ramesh: Unlimited Sampling of Sparse Signals. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2018 more… Full text ( DOI )
  • Bhandari, Ayush; Krahmer, Felix; Raskar, Ramesh: Unlimited Sampling of Sparse Sinusoidal Mixtures. 2018 IEEE International Symposium on Information Theory (ISIT), IEEE, 2018 more… Full text ( DOI )

2017

  • Bhandari, Ayush; Krahmer, Felix; Raskar, Ramesh: On unlimited sampling. 2017 International Conference on Sampling Theory and Applications (SampTA), IEEE, 2017 more… Full text ( DOI )

Teaching

Winter term 2024/25

TitleLecturer (assistant)
Advanced Student Seminar: Implicit Regularization in Data Science
  • F. Krahmer
Mathematics Colloquium
  • F. Krahmer
  • R. König
Probabilistic Techniques and Algorithms in Data Analysis [MA4803]
  • F. Krahmer
  • A. Lupoli
  • M. Rauscher
Random Matrix Theory
  • F. Krahmer
  • H. Veselovska
Seminar (M15): Optimization and Data Analysis
  • M. Fornasier
  • F. Krahmer
  • A. Lupoli
Thesis- and PhD-Seminar M15
  • F. Krahmer
  • A. Lupoli