Sjoerd Dirksen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 26

Top Topics

Dimensionality Reduction

Structured Sparsity

Euclidean Space

Top Venues

IEEE Trans. Inf. Theory

Discret. Comput. Geom.

Publications

Sjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk
Fast Metric Embedding into the Hamming Cube. SIAM J. Comput. 53 (2) (2024)
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) (2024)
Sjoerd Dirksen, Johannes Maly
Tuning-Free One-Bit Covariance Estimation Using Data-Driven Dithering. IEEE Trans. Inf. Theory 70 (7) (2024)
Sjoerd Dirksen, Patrick Finke, Martin Genzel
Memorization with neural nets: going beyond the worst case. CoRR (2023)
Tianyu Yang, Johannes Maly, Sjoerd Dirksen, Giuseppe Caire
Plug-in Channel Estimation with Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems. CoRR (2023)
Sjoerd Dirksen, Johannes Maly
Tuning-free one-bit covariance estimation using data-driven dithering. CoRR (2023)
Sjoerd Dirksen, Martin Genzel, Laurent Jacques, Alexander Stollenwerk
The Separation Capacity of Random Neural Networks. J. Mach. Learn. Res. 23 (2022)
Sjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk
Sharp estimates on random hyperplane tessellations. CoRR (2022)
Sjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk
Fast metric embedding into the Hamming cube. CoRR (2022)
Sjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk
Sharp Estimates on Random Hyperplane Tessellations. SIAM J. Math. Data Sci. 4 (4) (2022)
Sjoerd Dirksen, Martin Genzel, Laurent Jacques, Alexander Stollenwerk
The Separation Capacity of Random Neural Networks. CoRR (2021)
Sjoerd Dirksen, Johannes Maly, Holger Rauhut
Covariance estimation under one-bit quantization. CoRR (2021)
Simon Veldkamp, Kirien Whan, Sjoerd Dirksen, Maurice Schmeits
Statistical post-processing of wind speed forecasts using convolutional neural networks. CoRR (2020)
Sjoerd Dirksen, Alexander Stollenwerk
Binarized Johnson-Lindenstrauss embeddings. CoRR (2020)
Simone Brugiapaglia, Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut
Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs. CoRR (2020)
Sjoerd Dirksen, Guillaume Lecué, Holger Rauhut
On the Gap Between Restricted Isometry Properties and Sparse Recovery Conditions. IEEE Trans. Inf. Theory 64 (8) (2018)
Sjoerd Dirksen, Alexander Stollenwerk
Fast Binary Embeddings with Gaussian Circulant Matrices: Improved Bounds. Discret. Comput. Geom. 60 (3) (2018)
Sjoerd Dirksen, Shahar Mendelson
Robust one-bit compressed sensing with partial circulant matrices. CoRR (2018)
Sjoerd Dirksen, Tino Ullrich
Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness. J. Complex. 48 (2018)
Sjoerd Dirksen, Shahar Mendelson
Robust one-bit compressed sensing with non-Gaussian measurements. CoRR (2018)
Sjoerd Dirksen, Tino Ullrich
Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness. CoRR (2017)
Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut
One-bit compressed sensing with partial Gaussian circulant matrices. CoRR (2017)
Sjoerd Dirksen
Dimensionality Reduction with Subgaussian Matrices: A Unified Theory. Found. Comput. Math. 16 (5) (2016)
Sjoerd Dirksen, Alexander Stollenwerk
Fast binary embeddings with Gaussian circulant matrices: improved bounds. CoRR (2016)
Jean Bourgain, Sjoerd Dirksen, Jelani Nelson
Toward a Unified Theory of Sparse Dimensionality Reduction in Euclidean Space. STOC (2015)
Sjoerd Dirksen, Guillaume Lecué, Holger Rauhut
On the gap between RIP-properties and sparse recovery conditions. CoRR (2015)
Sjoerd Dirksen
Dimensionality reduction with subgaussian matrices: a unified theory. CoRR (2014)
Ulas Ayaz, Sjoerd Dirksen, Holger Rauhut
Uniform recovery of fusion frame structured sparse signals. CoRR (2014)
Sjoerd Dirksen
Tail bounds via generic chaining. CoRR (2013)