Sjoerd Dirksen

35 papers A* 1Journal 34

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Near-optimal estimates for the ℓ CoRR Sjoerd Dirksen, Patrick Finke, Paul Geuchen, Dominik Stöger, Felix Voigtländer
2025	J	`jnl`	Phasebook: A Survey of Selected Open Problems in Phase Retrieval. CoRR Marc Allain, Selin Aslan, Wim Coene, Sjoerd Dirksen, Jonathan Dong, Julien Flamant, Mark A. Iwen, Felix Krahmer, Tristan van Leeuwen, Oleh Melnyk, Andreas Menzel, Allard P. Mosk, Viktor Nikitin, Gerlind Plonka, Palina Salanevich, Matthias Wellershoff
2025	J	`jnl`	Spectral method for low-dose Poisson and Bernoulli phase retrieval. CoRR Sjoerd Dirksen, Felix Krahmer, Patricia Römer, Palina Salanevich
2025	J	`jnl`	Subspace and DOA Estimation Under Coarse Quantization. IEEE Trans. Inf. Theory Sjoerd Dirksen, Weilin Li, Johannes Maly
2025	J	`jnl`	Subspace and DOA estimation under coarse quantization. CoRR Sjoerd Dirksen, Weilin Li, Johannes Maly
2024	J	`jnl`	Fast Metric Embedding into the Hamming Cube. SIAM J. Comput. Sjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk
2024	J	`jnl`	Memorization With Neural Nets: Going Beyond the Worst Case. J. Mach. Learn. Res. Sjoerd Dirksen, Patrick Finke, Martin Genzel
2024	J	`jnl`	Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems. IEEE Trans. Commun. Tianyu Yang, Johannes Maly, Sjoerd Dirksen, Giuseppe Caire
2024	J	`jnl`	Tuning-Free One-Bit Covariance Estimation Using Data-Driven Dithering. IEEE Trans. Inf. Theory Sjoerd Dirksen, Johannes Maly
2023	J	`jnl`	Memorization with neural nets: going beyond the worst case. CoRR Sjoerd Dirksen, Patrick Finke, Martin Genzel
2023	J	`jnl`	Plug-in Channel Estimation with Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems. CoRR Tianyu Yang, Johannes Maly, Sjoerd Dirksen, Giuseppe Caire
2023	J	`jnl`	Tuning-free one-bit covariance estimation using data-driven dithering. CoRR Sjoerd Dirksen, Johannes Maly
2022	J	`jnl`	Fast metric embedding into the Hamming cube. CoRR Sjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk
2022	J	`jnl`	Sharp Estimates on Random Hyperplane Tessellations. SIAM J. Math. Data Sci. Sjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk
2022	J	`jnl`	Sharp estimates on random hyperplane tessellations. CoRR Sjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk
2022	J	`jnl`	The Separation Capacity of Random Neural Networks. J. Mach. Learn. Res. Sjoerd Dirksen, Martin Genzel, Laurent Jacques, Alexander Stollenwerk
2021	J	`jnl`	Covariance estimation under one-bit quantization. CoRR Sjoerd Dirksen, Johannes Maly, Holger Rauhut
2021	J	`jnl`	The Separation Capacity of Random Neural Networks. CoRR Sjoerd Dirksen, Martin Genzel, Laurent Jacques, Alexander Stollenwerk
2020	J	`jnl`	Binarized Johnson-Lindenstrauss embeddings. CoRR Sjoerd Dirksen, Alexander Stollenwerk
2020	J	`jnl`	Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs. CoRR Simone Brugiapaglia, Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut
2020	J	`jnl`	Statistical post-processing of wind speed forecasts using convolutional neural networks. CoRR Simon Veldkamp, Kirien Whan, Sjoerd Dirksen, Maurice Schmeits
2018	J	`jnl`	Fast Binary Embeddings with Gaussian Circulant Matrices: Improved Bounds. Discret. Comput. Geom. Sjoerd Dirksen, Alexander Stollenwerk
2018	J	`jnl`	Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness. J. Complex. Sjoerd Dirksen, Tino Ullrich
2018	J	`jnl`	On the Gap Between Restricted Isometry Properties and Sparse Recovery Conditions. IEEE Trans. Inf. Theory Sjoerd Dirksen, Guillaume Lecué, Holger Rauhut
2018	J	`jnl`	Robust one-bit compressed sensing with non-Gaussian measurements. CoRR Sjoerd Dirksen, Shahar Mendelson
2018	J	`jnl`	Robust one-bit compressed sensing with partial circulant matrices. CoRR Sjoerd Dirksen, Shahar Mendelson
2017	J	`jnl`	Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness. CoRR Sjoerd Dirksen, Tino Ullrich
2017	J	`jnl`	One-bit compressed sensing with partial Gaussian circulant matrices. CoRR Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut
2016	J	`jnl`	Dimensionality Reduction with Subgaussian Matrices: A Unified Theory. Found. Comput. Math. Sjoerd Dirksen
2016	J	`jnl`	Fast binary embeddings with Gaussian circulant matrices: improved bounds. CoRR Sjoerd Dirksen, Alexander Stollenwerk
2015	J	`jnl`	On the gap between RIP-properties and sparse recovery conditions. CoRR Sjoerd Dirksen, Guillaume Lecué, Holger Rauhut
2015	A*	`conf`	Toward a Unified Theory of Sparse Dimensionality Reduction in Euclidean Space. STOC Jean Bourgain, Sjoerd Dirksen, Jelani Nelson
2014	J	`jnl`	Dimensionality reduction with subgaussian matrices: a unified theory. CoRR Sjoerd Dirksen
2014	J	`jnl`	Uniform recovery of fusion frame structured sparse signals. CoRR Ulas Ayaz, Sjoerd Dirksen, Holger Rauhut
2013	J	`jnl`	Tail bounds via generic chaining. CoRR Sjoerd Dirksen