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ORCIDHelmut Bölcskei
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- affiliation: ETH Zurich, Switzerland
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2020 – today
- 2023
[i82]Erwin Riegler, Günther Koliander, David Stotz, Helmut Bölcskei:
Completion of Matrices with Low Description Complexity. CoRR abs/2303.03731 (2023)- 2022
- [j62]Recep Gül
, David Stotz, Syed Ali Jafar, Helmut Bölcskei, Shlomo Shamai Shitz:
Canonical Conditions for K/2 Degrees of Freedom. IEEE Trans. Inf. Theory 68(3): 1716-1730 (2022) - [i81]Clemens Hutter, Thomas Allard, Helmut Bölcskei:
Metric entropy of causal, discrete-time LTI systems. CoRR abs/2211.15466 (2022) - 2021
- [j61]Dennis Elbrächter, Dmytro Perekrestenko, Philipp Grohs, Helmut Bölcskei:
Deep Neural Network Approximation Theory. IEEE Trans. Inf. Theory 67(5): 2581-2623 (2021) - [i80]Verner Vlacic, Céline Aubel, Helmut Bölcskei:
Beurling-type density criteria for system identification. CoRR abs/2101.09341 (2021) - [i79]Clemens Hutter, Recep Gül, Helmut Bölcskei:
Metric Entropy Limits on Recurrent Neural Network Learning of Linear Dynamical Systems. CoRR abs/2105.02556 (2021) - [i78]Dmytro Perekrestenko, Léandre Eberhard, Helmut Bölcskei:
High-Dimensional Distribution Generation Through Deep Neural Networks. CoRR abs/2107.12466 (2021) - [i77]Erwin Riegler, Helmut Bölcskei, Günther Koliander:
Lossy Compression of General Random Variables. CoRR abs/2111.12312 (2021) - 2020
- [c79]Dmytro Perekrestenko, Stephan Müller, Helmut Bölcskei:
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks. ICML 2020: 7610-7619 - [i76]Recep Gül, David Stotz, Syed Ali Jafar, Helmut Bölcskei, Shlomo Shamai:
Canonical Conditions for K/2 Degrees of Freedom. CoRR abs/2006.02310 (2020) - [i75]Verner Vlacic, Helmut Bölcskei:
Affine Symmetries and Neural Network Identifiability. CoRR abs/2006.11727 (2020) - [i74]Dmytro Perekrestenko, Stephan Müller, Helmut Bölcskei:
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks. CoRR abs/2006.16664 (2020)
2010 – 2019
- 2019
- [j60]Helmut Bölcskei, Philipp Grohs, Gitta Kutyniok, Philipp Petersen:
Optimal Approximation with Sparsely Connected Deep Neural Networks. SIAM J. Math. Data Sci. 1(1): 8-45 (2019) - [j59]Giovanni Alberti, Helmut Bölcskei, Camillo De Lellis, Günther Koliander, Erwin Riegler:
Lossless Analog Compression. IEEE Trans. Inf. Theory 65(11): 7480-7513 (2019) - [i73]Philipp Grohs, Dmytro Perekrestenko, Dennis Elbrächter, Helmut Bölcskei:
Deep Neural Network Approximation Theory. CoRR abs/1901.02220 (2019) - [i72]Verner Vlacic, Helmut Bölcskei:
Neural network identifiability for a family of sigmoidal nonlinearities. CoRR abs/1906.06994 (2019) - 2018
- [j58]Miguel R. D. Rodrigues, Helmut Bölcskei, Stark C. Draper, Yonina C. Eldar, Vincent Yan Fu Tan:
Introduction to the Issue on Information-Theoretic Methods in Data Acquisition, Analysis, and Processing. IEEE J. Sel. Top. Signal Process. 12(5): 821-824 (2018) - [j57]Thomas Wiatowski, Helmut Bölcskei:
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction. IEEE Trans. Inf. Theory 64(3): 1845-1866 (2018) - [j56]Michael Tschannen, Helmut Bölcskei:
Noisy Subspace Clustering via Matching Pursuits. IEEE Trans. Inf. Theory 64(6): 4081-4104 (2018) - [j55]Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei:
Energy Propagation in Deep Convolutional Neural Networks. IEEE Trans. Inf. Theory 64(7): 4819-4842 (2018) - [c78]Erwin Riegler, Helmut Bölcskei, Günther Koliander:
Rate-Distortion Theory for General Sets and Measures. ISIT 2018: 101-105 - [c77]Recep Gül, Helmut Bölcskei, Shlomo Shamai:
Necessary Conditions for K/2 Degrees of Freedom. ISIT 2018: 2574-2578 - [i71]Giovanni Alberti, Helmut Bölcskei, Camillo De Lellis, Günther Koliander, Erwin Riegler:
Lossless Analog Compression. CoRR abs/1803.06887 (2018) - [i70]Erwin Riegler, Günther Koliander, Helmut Bölcskei:
Rate-Distortion Theory for General Sets and Measures. CoRR abs/1804.08980 (2018) - [i69]Recep Gül, Helmut Bölcskei, Shlomo Shamai:
Necessary Conditions for K/2 Degrees of Freedom. CoRR abs/1805.03100 (2018) - [i68]Dmytro Perekrestenko, Philipp Grohs, Dennis Elbrächter, Helmut Bölcskei:
The universal approximation power of finite-width deep ReLU networks. CoRR abs/1806.01528 (2018) - [i67]Erwin Riegler, Helmut Bölcskei:
Uncertainty relations and sparse signal recovery. CoRR abs/1811.03996 (2018) - 2017
- [j54]David Stotz, Erwin Riegler, Eirikur Agustsson, Helmut Bölcskei:
Almost Lossless Analog Signal Separation and Probabilistic Uncertainty Relations. IEEE Trans. Inf. Theory 63(9): 5445-5460 (2017) - [c76]Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei:
Energy decay and conservation in deep convolutional neural networks. ISIT 2017: 1356-1360 - [i66]Céline Aubel, Helmut Bölcskei:
Vandermonde Matrices with Nodes in the Unit Disk and the Large Sieve. CoRR abs/1701.02538 (2017) - [i65]Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei:
Energy Propagation in Deep Convolutional Neural Networks. CoRR abs/1704.03636 (2017) - [i64]Helmut Bölcskei, Philipp Grohs, Gitta Kutyniok, Philipp Petersen:
Optimal Approximation with Sparsely Connected Deep Neural Networks. CoRR abs/1705.01714 (2017) - [i63]Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei:
Topology Reduction in Deep Convolutional Feature Extraction Networks. CoRR abs/1707.02711 (2017) - 2016
- [j53]David Stotz, Helmut Bölcskei:
Degrees of Freedom in Vector Interference Channels. IEEE Trans. Inf. Theory 62(7): 4172-4197 (2016) - [j52]David Stotz, Helmut Bölcskei:
Characterizing Degrees of Freedom Through Additive Combinatorics. IEEE Trans. Inf. Theory 62(11): 6423-6435 (2016) - [c75]Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei:
Discrete Deep Feature Extraction: A Theory and New Architectures. ICML 2016: 2149-2158 - [c74]Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei:
Deep convolutional neural networks on cartoon functions. ISIT 2016: 1163-1167 - [c73]David Stotz, Syed Ali Jafar, Helmut Bölcskei, Shlomo Shamai:
Canonical conditions for K/2 degrees of freedom. ISIT 2016: 1292-1296 - [c72]Céline Aubel, Helmut Bölcskei:
Deterministic performance analysis of subspace methods for cisoid parameter estimation. ISIT 2016: 1551-1555 - [c71]Giovanni Alberti, Helmut Bölcskei, Camillo De Lellis, Günther Koliander, Erwin Riegler:
Lossless linear analog compression. ISIT 2016: 2789-2793 - [i62]Céline Aubel, Helmut Bölcskei:
Deterministic Performance Analysis of Subspace Methods for Cisoid Parameter Estimation. CoRR abs/1604.07196 (2016) - [i61]Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei:
Deep Convolutional Neural Networks on Cartoon Functions. CoRR abs/1605.00031 (2016) - [i60]Giovanni Alberti, Helmut Bölcskei, Camillo De Lellis, Günther Koliander, Erwin Riegler:
Lossless Linear Analog Compression. CoRR abs/1605.00912 (2016) - [i59]Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei:
Discrete Deep Feature Extraction: A Theory and New Architectures. CoRR abs/1605.08283 (2016) - [i58]Michael Tschannen, Helmut Bölcskei:
Robust nonparametric nearest neighbor random process clustering. CoRR abs/1612.01103 (2016) - [i57]Michael Tschannen, Helmut Bölcskei:
Noisy subspace clustering via matching pursuits. CoRR abs/1612.03450 (2016) - 2015
- [j51]Reinhard Heckel, Helmut Bölcskei:
Robust Subspace Clustering via Thresholding. IEEE Trans. Inf. Theory 61(11): 6320-6342 (2015) - [c70]Michael Tschannen, Helmut Bölcskei:
Nonparametric nearest neighbor random process clustering. ISIT 2015: 1207-1211 - [c69]Thomas Wiatowski, Helmut Bölcskei:
Deep convolutional neural networks based on semi-discrete frames. ISIT 2015: 1212-1216 - [c68]Erwin Riegler, David Stotz, Helmut Bölcskei:
Information-theoretic limits of matrix completion. ISIT 2015: 1836-1840 - [c67]Céline Aubel, Helmut Bölcskei:
Density criteria for the identification of linear time-varying systems. ISIT 2015: 2568-2572 - [i56]Erwin Riegler, David Stotz, Helmut Bölcskei:
Information-Theoretic Limits of Matrix Completion. CoRR abs/1504.04970 (2015) - [i55]Céline Aubel, Helmut Bölcskei:
Density Criteria for the Identification of Linear Time-Varying Systems. CoRR abs/1504.05036 (2015) - [i54]Michael Tschannen, Helmut Bölcskei:
Nonparametric Nearest Neighbor Random Process Clustering. CoRR abs/1504.05059 (2015) - [i53]Thomas Wiatowski, Helmut Bölcskei:
Deep Convolutional Neural Networks Based on Semi-Discrete Frames. CoRR abs/1504.05487 (2015) - [i52]David Stotz, Helmut Bölcskei:
Characterizing degrees of freedom through additive combinatorics. CoRR abs/1506.01866 (2015) - [i51]Reinhard Heckel, Michael Tschannen, Helmut Bölcskei:
Dimensionality-reduced subspace clustering. CoRR abs/1507.07105 (2015) - [i50]Céline Aubel, David Stotz, Helmut Bölcskei:
A Theory of Super-Resolution from Short-Time Fourier Transform Measurements. CoRR abs/1509.01047 (2015) - [i49]David Stotz, Erwin Riegler, Eirikur Agustsson, Helmut Bölcskei:
Almost lossless analog signal separation and probabilistic uncertainty relations. CoRR abs/1512.01017 (2015) - [i48]Thomas Wiatowski, Helmut Bölcskei:
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction. CoRR abs/1512.06293 (2015) - 2014
- [c66]Céline Aubel, David Stotz, Helmut Bölcskei:
Super-resolution from short-time Fourier transform measurements. ICASSP 2014: 36-40 - [c65]Alexander Jung, Reinhard Heckel, Helmut Bölcskei, Franz Hlawatsch:
Compressive nonparametric graphical model selection for time series. ICASSP 2014: 769-773 - [c64]Reinhard Heckel, Eirikur Agustsson, Helmut Bölcskei:
Neighborhood selection for thresholding-based subspace clustering. ICASSP 2014: 6761-6765 - [c63]David Stotz, Helmut Bölcskei:
Explicit and almost sure conditions for K/2 degrees of freedom. ISIT 2014: 471-475 - [c62]Reinhard Heckel, Michael Tschannen, Helmut Bölcskei:
Subspace clustering of dimensionality-reduced data. ISIT 2014: 2997-3001 - [i47]Céline Aubel, David Stotz, Helmut Bölcskei:
Super-Resolution from Short-Time Fourier Transform Measurements. CoRR abs/1403.2239 (2014) - [i46]Reinhard Heckel, Eirikur Agustsson, Helmut Bölcskei:
Neighborhood Selection for Thresholding-based Subspace Clustering. CoRR abs/1403.3438 (2014) - [i45]Reinhard Heckel, Michael Tschannen, Helmut Bölcskei:
Subspace clustering of dimensionality-reduced data. CoRR abs/1404.6818 (2014) - [i44]David Stotz, Helmut Bölcskei:
Explicit and almost sure conditions for K/2 degrees of freedom. CoRR abs/1404.7374 (2014) - 2013
- [j50]Gerald Matz, Helmut Bölcskei, Franz Hlawatsch:
Time-Frequency Foundations of Communications: Concepts and Tools. IEEE Signal Process. Mag. 30(6): 87-96 (2013) - [j49]Veniamin I. Morgenshtern, Erwin Riegler, Wei Yang, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei:
Capacity Pre-Log of Noncoherent SIMO Channels Via Hironaka's Theorem. IEEE Trans. Inf. Theory 59(7): 4213-4229 (2013) - [j48]Reinhard Heckel, Helmut Bölcskei:
Identification of Sparse Linear Operators. IEEE Trans. Inf. Theory 59(12): 7985-8000 (2013) - [c61]Reinhard Heckel, Helmut Bölcskei:
Subspace clustering via thresholding and spectral clustering. ICASSP 2013: 3263-3267 - [c60]David Stotz, Erwin Riegler, Helmut Bölcskei:
Almost lossless analog signal separation. ISIT 2013: 106-110 - [c59]Reinhard Heckel, Helmut Bölcskei:
Noisy subspace clustering via thresholding. ISIT 2013: 1382-1386 - [i43]Reinhard Heckel, Helmut Bölcskei:
Subspace Clustering via Thresholding and Spectral Clustering. CoRR abs/1303.3716 (2013) - [i42]David Stotz, Erwin Riegler, Helmut Bölcskei:
Almost Lossless Analog Signal Separation. CoRR abs/1305.3422 (2013) - [i41]Reinhard Heckel, Helmut Bölcskei:
Noisy Subspace Clustering via Thresholding. CoRR abs/1305.3486 (2013) - [i40]Gerald Matz, Helmut Bölcskei, Franz Hlawatsch:
Time-Frequency Foundations of Communications. CoRR abs/1307.4790 (2013) - [i39]Reinhard Heckel, Helmut Bölcskei:
Robust Subspace Clustering via Thresholding. CoRR abs/1307.4891 (2013) - 2012
- [j47]Patrick Kuppinger, Giuseppe Durisi, Helmut Bölcskei:
Uncertainty Relations and Sparse Signal Recovery for Pairs of General Signal Sets. IEEE Trans. Inf. Theory 58(1): 263-277 (2012) - [j46]Christoph Studer, Patrick Kuppinger, Graeme Pope, Helmut Bölcskei:
Recovery of Sparsely Corrupted Signals. IEEE Trans. Inf. Theory 58(5): 3115-3130 (2012) - [j45]Cemal Akçaba, Helmut Bölcskei:
Diversity-Multiplexing Tradeoff in Two-User Fading Interference Channels. IEEE Trans. Inf. Theory 58(7): 4462-4480 (2012) - [j44]Giuseppe Durisi, Veniamin I. Morgenshtern, Helmut Bölcskei:
On the Sensitivity of Continuous-Time Noncoherent Fading Channel Capacity. IEEE Trans. Inf. Theory 58(10): 6372-6391 (2012) - [c58]Reinhard Heckel, Helmut Bölcskei:
Joint sparsity with different measurement matrices. Allerton Conference 2012: 698-702 - [c57]David Stotz, Helmut Bölcskei:
Degrees of freedom in vector interference channels. Allerton Conference 2012: 1755-1760 - [c56]Graeme Pope, Helmut Bölcskei:
Sparse signal recovery in Hilbert spaces. ISIT 2012: 1463-1467 - [c55]Céline Aubel, Christoph Studer, Graeme Pope, Helmut Bölcskei:
Sparse signal separation in redundant dictionaries. ISIT 2012: 2047-2051 - [i38]Veniamin I. Morgenshtern, Erwin Riegler, Wei Yang, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei:
Capacity Pre-Log of Noncoherent SIMO Channels via Hironaka's Theorem. CoRR abs/1204.2775 (2012) - [i37]Céline Aubel, Christoph Studer, Graeme Pope, Helmut Bölcskei:
Sparse Signal Separation in Redundant Dictionaries. CoRR abs/1205.4551 (2012) - [i36]Graeme Pope, Helmut Bölcskei:
Sparse Signal Recovery in Hilbert Spaces. CoRR abs/1205.4583 (2012) - [i35]Reinhard Heckel, Helmut Bölcskei:
Identification of Sparse Linear Operators. CoRR abs/1209.5187 (2012) - [i34]David Stotz, Helmut Bölcskei:
Degrees of Freedom in Vector Interference Channels. CoRR abs/1210.2259 (2012) - [i33]Reinhard Heckel, Helmut Bölcskei:
Joint Sparsity with Different Measurement Matrices. CoRR abs/1210.2272 (2012) - 2011
- [j43]Dominik Seethaler, Joakim Jaldén, Christoph Studer, Helmut Bölcskei:
On the Complexity Distribution of Sphere Decoding. IEEE Trans. Inf. Theory 57(9): 5754-5768 (2011) - [j42]Daniel S. Baum, Helmut Bölcskei:
Information-Theoretic Analysis of MIMO Channel Sounding. IEEE Trans. Inf. Theory 57(11): 7555-7577 (2011) - [j41]Davide Cescato, Helmut Bölcskei:
Algorithms for Interpolation-Based QR Decomposition in MIMO-OFDM Systems. IEEE Trans. Signal Process. 59(4): 1719-1733 (2011) - [c54]Reinhard Heckel, Helmut Bölcskei:
Compressive identification of linear operators. ISIT 2011: 1412-1416 - [c53]Christoph Studer, Patrick Kuppinger, Graeme Pope, Helmut Bölcskei:
Sparse signal recovery from sparsely corrupted measurements. ISIT 2011: 1422-1426 - [c52]Erwin Riegler, Veniamin I. Morgenshtern, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei:
Noncoherent SIMO pre-log via resolution of singularities. ISIT 2011: 2020-2024 - [i32]Patrick Kuppinger, Giuseppe Durisi, Helmut Bölcskei:
Uncertainty Relations and Sparse Signal Recovery for Pairs of General Signal Sets. CoRR abs/1102.0522 (2011) - [i31]Christoph Studer, Patrick Kuppinger, Graeme Pope, Helmut Bölcskei:
Recovery of Sparsely Corrupted Signals. CoRR abs/1102.1621 (2011) - [i30]Veniamin I. Morgenshtern, Helmut Bölcskei:
A Short Course on Frame Theory. CoRR abs/1104.4300 (2011) - [i29]Giuseppe Durisi, Helmut Bölcskei:
High-SNR Capacity of Wireless Communication Channels in the Noncoherent Setting: A Primer. CoRR abs/1105.1246 (2011) - [i28]Reinhard Heckel, Helmut Bölcskei:
Compressive Identification of Linear Operators. CoRR abs/1105.5215 (2011) - [i27]Erwin Riegler, Veniamin I. Morgenshtern, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei:
Noncoherent SIMO Pre-Log via Resolution of Singularities. CoRR abs/1105.6009 (2011) - [i26]Giuseppe Durisi, Veniamin I. Morgenshtern, Helmut Bölcskei:
Sensitivity of Noncoherent WSSUS Fading Channel Capacity. CoRR abs/1107.2527 (2011) - 2010
- [j40]Giuseppe Durisi, Ulrich G. Schuster, Helmut Bölcskei, Shlomo Shamai:
Noncoherent capacity of underspread fading channels. IEEE Trans. Inf. Theory 56(1): 367-395 (2010) - [j39]Dominik Seethaler, Helmut Bölcskei:
Performance and complexity analysis of infinity-norm sphere-decoding. IEEE Trans. Inf. Theory 56(3): 1085-1105 (2010) - [j38]Davide Cescato, Helmut Bölcskei:
QR decomposition of Laurent polynomial matrices sampled on the unit circle. IEEE Trans. Inf. Theory 56(9): 4754-4761 (2010) - [j37]Christoph Studer, Helmut Bölcskei:
Soft-input soft-output single tree-search sphere decoding. IEEE Trans. Inf. Theory 56(10): 4827-4842 (2010) - [j36]Yonina C. Eldar, Patrick Kuppinger, Helmut Bölcskei:
Block-sparse signals: uncertainty relations and efficient recovery. IEEE Trans. Signal Process. 58(6): 3042-3054 (2010) - [c51]Veniamin I. Morgenshtern, Giuseppe Durisi, Helmut Bölcskei:
The SIMO pre-log can be larger than the SISO pre-log. ISIT 2010: 320-324 - [c50]Patrick Kuppinger, Giuseppe Durisi, Helmut Bölcskei:
Where is randomness needed to break the square-root bottleneck? ISIT 2010: 1578-1582 - [i25]Veniamin I. Morgenshtern, Giuseppe Durisi, Helmut Bölcskei:
The SIMO Pre-Log Can Be Larger Than the SISO Pre-Log. CoRR abs/1004.3755 (2010) - [i24]Patrick Kuppinger, Giuseppe Durisi, Helmut Bölcskei:
Where is Randomness Needed to Break the Square-Root Bottleneck? CoRR abs/1004.3878 (2010)
2000 – 2009
- 2009
- [j35]Ulrich G. Schuster, Giuseppe Durisi, Helmut Bölcskei, H. Vincent Poor:
Capacity bounds for peak-constrained multiantenna wideband channels. IEEE Trans. Commun. 57(9): 2686-2696 (2009) - [j34]Daniel E. Quevedo, Helmut Bölcskei, Graham C. Goodwin:
Quantization of Filter Bank Frame Expansions Through Moving Horizon Optimization. IEEE Trans. Signal Process. 57(2): 503-515 (2009) - [c49]Yonina C. Eldar, Helmut Bölcskei:
Block-sparsity: Coherence and efficient recovery. ICASSP 2009: 2885-2888 - [c48]Dominik Seethaler, Joakim Jaldén, Christoph Studer, Helmut Bölcskei:
Tail behavior of sphere-decoding complexity in random lattices. ISIT 2009: 729-733 - [c47]Cemal Akçaba, Helmut Bölcskei:
On the achievable diversity-multiplexing tradeoff in interference channels. ISIT 2009: 1604-1608 - [c46]Helmut Bölcskei, Jatin Thukral:
Interference alignment with limited feedback. ISIT 2009: 1759-1763 - [c45]Giuseppe Durisi, Veniamin I. Morgenshtern, Helmut Bölcskei:
On the sensitivity of noncoherent capacity to the channel model. ISIT 2009: 2174-2178 - [i23]Cemal Akçaba, Helmut Bölcskei:
On the achievable diversity-multiplexing tradeoff in interference channels. CoRR abs/0903.2226 (2009) - [i22]Jatin Thukral, Helmut Bölcskei:
Interference Alignment with Limited Feedback. CoRR abs/0905.0374 (2009) - [i21]