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Sjoerd Dirksen
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Journal Articles
- 2024
- [j9]Sjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk:
Fast Metric Embedding into the Hamming Cube. SIAM J. Comput. 53(2): 315-345 (2024) - [j8]Tianyu Yang
, Johannes Maly, Sjoerd Dirksen
Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems. IEEE Trans. Commun. 72(1): 387-402 (2024) - [j7]Sjoerd Dirksen
Tuning-Free One-Bit Covariance Estimation Using Data-Driven Dithering. IEEE Trans. Inf. Theory 70(7): 5228-5247 (2024) - 2022
- [j6]Sjoerd Dirksen, Martin Genzel, Laurent Jacques, Alexander Stollenwerk:
The Separation Capacity of Random Neural Networks. J. Mach. Learn. Res. 23: 309:1-309:47 (2022) - [j5]Sjoerd Dirksen, Shahar Mendelson
Sharp Estimates on Random Hyperplane Tessellations. SIAM J. Math. Data Sci. 4(4): 1396-1419 (2022) - 2018
- [j4]Sjoerd Dirksen, Alexander Stollenwerk:
Fast Binary Embeddings with Gaussian Circulant Matrices: Improved Bounds. Discret. Comput. Geom. 60(3): 599-626 (2018) - [j3]Sjoerd Dirksen, Tino Ullrich:
Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness. J. Complex. 48: 69-102 (2018) - [j2]Sjoerd Dirksen, Guillaume Lecué
On the Gap Between Restricted Isometry Properties and Sparse Recovery Conditions. IEEE Trans. Inf. Theory 64(8): 5478-5487 (2018) - 2016
- [j1]Sjoerd Dirksen:
Dimensionality Reduction with Subgaussian Matrices: A Unified Theory. Found. Comput. Math. 16(5): 1367-1396 (2016)
Conference and Workshop Papers
- 2015
- [c1]Jean Bourgain, Sjoerd Dirksen, Jelani Nelson:
Toward a Unified Theory of Sparse Dimensionality Reduction in Euclidean Space. STOC 2015: 499-508
Informal and Other Publications
- 2023
- [i19]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) - [i18]Sjoerd Dirksen, Johannes Maly:
Tuning-free one-bit covariance estimation using data-driven dithering. CoRR abs/2307.12613 (2023) - [i17]Sjoerd Dirksen, Patrick Finke, Martin Genzel:
Memorization with neural nets: going beyond the worst case. CoRR abs/2310.00327 (2023) - 2022
- [i16]Sjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk:
Sharp estimates on random hyperplane tessellations. CoRR abs/2201.05204 (2022) - [i15]Sjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk:
Fast metric embedding into the Hamming cube. CoRR abs/2204.04109 (2022) - 2021
- [i14]Sjoerd Dirksen, Johannes Maly, Holger Rauhut:
Covariance estimation under one-bit quantization. CoRR abs/2104.01280 (2021) - [i13]Sjoerd Dirksen, Martin Genzel, Laurent Jacques, Alexander Stollenwerk:
The Separation Capacity of Random Neural Networks. CoRR abs/2108.00207 (2021) - 2020
- [i12]Simone Brugiapaglia, Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut:
Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs. CoRR abs/2005.06994 (2020) - [i11]Simon Veldkamp, Kirien Whan, Sjoerd Dirksen, Maurice Schmeits:
Statistical post-processing of wind speed forecasts using convolutional neural networks. CoRR abs/2007.04005 (2020) - [i10]Sjoerd Dirksen, Alexander Stollenwerk:
Binarized Johnson-Lindenstrauss embeddings. CoRR abs/2009.08320 (2020) - 2018
- [i9]Sjoerd Dirksen, Shahar Mendelson:
Robust one-bit compressed sensing with non-Gaussian measurements. CoRR abs/1805.09409 (2018) - [i8]Sjoerd Dirksen, Shahar Mendelson
Robust one-bit compressed sensing with partial circulant matrices. CoRR abs/1812.06719 (2018) - 2017
- [i7]Sjoerd Dirksen, Tino Ullrich:
Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness. CoRR abs/1702.06781 (2017) - [i6]Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut:
One-bit compressed sensing with partial Gaussian circulant matrices. CoRR abs/1710.03287 (2017) - 2016
- [i5]Sjoerd Dirksen, Alexander Stollenwerk:
Fast binary embeddings with Gaussian circulant matrices: improved bounds. CoRR abs/1608.06498 (2016) - 2015
- [i4]Sjoerd Dirksen, Guillaume Lecué, Holger Rauhut:
On the gap between RIP-properties and sparse recovery conditions. CoRR abs/1504.05073 (2015) - 2014
- [i3]Sjoerd Dirksen:
Dimensionality reduction with subgaussian matrices: a unified theory. CoRR abs/1402.3973 (2014) - [i2]Ulas Ayaz, Sjoerd Dirksen, Holger Rauhut:
Uniform recovery of fusion frame structured sparse signals. CoRR abs/1407.7680 (2014) - 2013
- [i1]Sjoerd Dirksen:
Tail bounds via generic chaining. CoRR abs/1309.3522 (2013)
Coauthor Index
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