Johannes Maly

Publications

J. Maly, K. Neuner, and S. Vadia: "Computing the SVD efficiently with photonic chips", 2026, arXiv preprint
J. Maly and A. Veselovska: "Reliable one-bit quantization of bandlimited graph data via single-shot noise shaping", 2026, arXiv preprint
H.--H. Chou, J. Maly, and D. Stöger: "How to induce regularization in generalized linear models: A guide to reparametrizing gradient flow", 2023, arXiv preprint

M. Matveev, V. Fojtik, H.--H. Chou, G. Kutyniok, and J. Maly: "Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization", 2026, to appear in International Conference on Machine Learning (ICML), (arXiv)

S. Ullah et al.: “Invited Paper: Circuit and Architecture Design with Emerging Computing Paradigms”, 2025, 2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
S. Dirksen, W. Li, and J. Maly: “Subspace estimation under coarse quantization”, 2025, 15th International Conference on Sampling Theory and Applications (SampTA)
H.–H. Chou, J. Maly, C. Mayrink Verdun, B. Freitas Paulo da Costa, and H. Mirandola: “Get rid of your constraints and reparametrize: A study in NNLS and implicit bias”, 2025, International Conference on Artificial Intelligence and Statistics (AISTATS), (arXiv)
S. Dirksen, W. Li, and J. Maly: “Subspace and DOA estimation under coarse quantization”, 2025, IEEE Transactions on Information Theory, (arXiv)

J. Maly: “Robust Sensing of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition”, 2023, Applied and Computational Harmonic Analysis, (arXiv)
C. Kümmerle and J. Maly: “Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares”, 2023, Neural Information Processing Systems (NeurIPS), (arXiv)
J. Maly and R. Saab: “A simple approach for quantizing neural networks”, 2023, Applied and Computational Harmonic Analysis, (arXiv)
H.–H. Chou, J. Maly, and H. Rauhut: “More is Less: Inducing Sparsity via Overparameterization”, 2023, Information and Inference: A Journal of the IMA, (arXiv)

S. Dirksen, J. Maly, and H. Rauhut: “Covariance estimation under one-bit quantization”, 2022, Annals of Statistics, (arXiv)
A. Caragea, D. G. Lee, J. Maly, G. Pfander, and F. Voigtlaender: “Quantitative approximation results for complex-valued neural networks”, 2022, SIAM Journal on Mathematics of Data Science (SIMODS), (arXiv)

F. Boßmann, S. Krause-Solberg, J. Maly, and N. Sissouno: “Structural Sparsity in Multiple Measurements”, 2021, IEEE Transactions on Signal Processing, (arXiv)
Z. Kereta, J. Maly, and V. Naumova: “Computational approaches to non-convex, sparsity-inducing multi-penalty regularization”, 2021, Inverse Problems, (arXiv)
S. Dirksen, J. Maly, and H. Rauhut: “Covariance estimation under one-bit quantization”, 2021, Proceedings in Applied Mathematics and Mechanics — PAMM
H. C. Jung, J. Maly, L. Palzer, and A. Stollenwerk: “Quantized Compressed Sensing by Rectified Linear Units”, 2021, Proceedings in Applied Mathematics and Mechanics — PAMM
M. Iwen, F. Krahmer, S. Krause-Solberg, and J. Maly: “On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds”, 2021, Discrete and Computational Geometry, (arXiv)
H. C. Jung, J. Maly, L. Palzer, and A. Stollenwerk: “Quantized Compressed Sensing by Rectified Linear Units”, 2021, IEEE Transactions on Information Theory, (arXiv)

M. Fornasier, J. Maly and V. Naumova: “Robust Recovery of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition from Incomplete Measurements”, 2020, Applied Mathematics and Computation, (arXiv)
A. Guth, C. Culotta-López, J. Maly, H. Rauhut, and D. Heberling: “Polyhedral Sampling Structures for Phaseless Spherical Near-Field Antenna Measurements”, 2020, 42nd Antenna Measurement Techniques Association Symposium (AMTA)

J. Maly and L. Palzer: “Analysis of Hard-Thresholding for Distributed Compressed Sensing with One-Bit Measurements”, 2019, Information and Inference: A Journal of the IMA, (arXiv)
S. Dirksen, M. Iwen, S. Krause-Solberg, and J. Maly: “Robust One-bit Compressed Sensing With Manifold Data”, 2019, International Conference on Sampling Theory and Applications (SampTA)

M. Fornasier, J. Maly and V. Naumova: “Robust Recovery of Low-Rank Matrices using Multi-Penalty Regularization”, 2017, NIPS Workshop on Optimization for Machine Learning
S. Krause-Solberg and J. Maly: “A tractable approach for one-bit Compressed Sensing on manifolds”, 2017, International Conference on Sampling Theory and Applications (SampTA)

J. Maly: “Sven-Ake Wegner: Mathematische Einführung in Data Science”, 2025, Mathematische Semesterberichte
J. Maly, T. Yang, S. Dirksen, H. Rauhut, and G. Caire: “New challenges in covariance estimation: multiple structures and coarse quantization” in Compressed Sensing in Information Processing, 2021, Springer, (arXiv)

J. Maly: “Recovery Algorithms for Quantized Compressed Sensing”, 2019, Phd thesis
J. Maly: “Weighted Energy-Dissipation Approximation for an Optimal Control Problem”, 2015, Master’s thesis