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ORCIDJohannes Maly
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2020 – today
- 2024
[j7]Tianyu Yang
, Johannes Maly, Sjoerd Dirksen, Giuseppe Caire:
Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems. IEEE Trans. Commun. 72(1): 387-402 (2024)- [j6]Sjoerd Dirksen, Johannes Maly:
Tuning-Free One-Bit Covariance Estimation Using Data-Driven Dithering. IEEE Trans. Inf. Theory 70(7): 5228-5247 (2024) - 2023
- [c1]Christian Kümmerle, Johannes Maly:
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares. NeurIPS 2023 - [i16]Tianyu Yang, Johannes Maly, Sjoerd Dirksen, Giuseppe Caire:
Plug-in Channel Estimation with Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems. CoRR abs/2301.04641 (2023) - [i15]Christian Kümmerle, Johannes Maly:
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares. CoRR abs/2306.04961 (2023) - [i14]Sjoerd Dirksen, Johannes Maly:
Tuning-free one-bit covariance estimation using data-driven dithering. CoRR abs/2307.12613 (2023) - [i13]Hung-Hsu Chou, Johannes Maly, Dominik Stöger:
How to induce regularization in generalized linear models: A guide to reparametrizing gradient flow. CoRR abs/2308.04921 (2023) - 2022
- [j5]Andrei Caragea, Dae Gwan Lee, Johannes Maly, Götz E. Pfander, Felix Voigtländer:
Quantitative Approximation Results for Complex-Valued Neural Networks. SIAM J. Math. Data Sci. 4(2): 553-580 (2022) - [j4]Florian Boßmann, Sara Krause-Solberg, Johannes Maly, Nada Sissouno:
Structural Sparsity in Multiple Measurements. IEEE Trans. Signal Process. 70: 280-291 (2022) - [i12]Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun:
Non-negative Least Squares via Overparametrization. CoRR abs/2207.08437 (2022) - [i11]Johannes Maly, Rayan Saab:
A simple approach for quantizing neural networks. CoRR abs/2209.03487 (2022) - 2021
- [j3]Massimo Fornasier, Johannes Maly, Valeriya Naumova:
Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements. Appl. Math. Comput. 392: 125702 (2021) - [j2]Mark A. Iwen, Felix Krahmer, Sara Krause-Solberg, Johannes Maly:
On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds. Discret. Comput. Geom. 65(4): 953-998 (2021) - [j1]Hans Christian Jung, Johannes Maly, Lars Palzer, Alexander Stollenwerk:
Quantized Compressed Sensing by Rectified Linear Units. IEEE Trans. Inf. Theory 67(6): 4125-4149 (2021) - [i10]Andrei Caragea, Dae Gwan Lee, Johannes Maly, Götz E. Pfander, Felix Voigtländer:
Quantitative approximation results for complex-valued neural networks. CoRR abs/2102.13092 (2021) - [i9]Florian Boßmann, Sara Krause-Solberg, Johannes Maly, Nada Sissouno:
Structural Sparsity in Multiple Measurements. CoRR abs/2103.01908 (2021) - [i8]Johannes Maly:
Robust Sensing of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition. CoRR abs/2103.05523 (2021) - [i7]Sjoerd Dirksen, Johannes Maly, Holger Rauhut:
Covariance estimation under one-bit quantization. CoRR abs/2104.01280 (2021) - [i6]Hung-Hsu Chou, Johannes Maly, Holger Rauhut:
More is Less: Inducing Sparsity via Overparameterization. CoRR abs/2112.11027 (2021) - 2020
- [i5]Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut:
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank. CoRR abs/2011.13772 (2020)
2010 – 2019
- 2019
- [i4]Zeljko Kereta, Johannes Maly, Valeriya Naumova:
Linear convergence and support recovery for non-convex multi-penalty regularization. CoRR abs/1908.02503 (2019) - [i3]Hans Christian Jung, Johannes Maly, Lars Palzer, Alexander Stollenwerk:
Quantized Compressed Sensing by Rectified Linear Units. CoRR abs/1911.07816 (2019) - 2018
- [i2]Johannes Maly, Lars Palzer:
Analysis of Hard-Thresholding for Distributed Compressed Sensing with One-Bit Measurements. CoRR abs/1805.03486 (2018) - [i1]Mark A. Iwen, Felix Krahmer, Sara Krause-Solberg, Johannes Maly:
On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds. CoRR abs/1807.06490 (2018)
Coauthor Index
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