Helmut Bölcskei

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 65

Top Venues

CoRR

ISIT

IEEE Trans. Inf. Theory

ICASSP

Publications

Yani Zhang, Helmut Bölcskei
Extracting Formulae in Many-Valued Logic from Deep Neural Networks. CoRR (2024)
Weigutian Ou, Philipp Schenkel, Helmut Bölcskei
Three Quantization Regimes for ReLU Networks. CoRR (2024)
Yani Zhang, Helmut Bölcskei
Cellular automata, many-valued logic, and deep neural networks. CoRR (2024)
Yang Pan, Clemens Hutter, Helmut Bölcskei
Metric-Entropy Limits on Nonlinear Dynamical System Learning. CoRR (2024)
Valentin Abadie, Helmut Bölcskei
On the invariance of the Kolmogorov complexity of β-expansions. CoRR (2024)
Erwin Riegler, Günther Koliander, David Stotz, Helmut Bölcskei
Completion of Matrices with Low Description Complexity. CoRR (2023)
Clemens Hutter, Thomas Allard, Helmut Bölcskei
Metric entropy of causal, discrete-time LTI systems. CoRR (2022)
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) (2022)
Dmytro Perekrestenko, Léandre Eberhard, Helmut Bölcskei
High-Dimensional Distribution Generation Through Deep Neural Networks. CoRR (2021)
Clemens Hutter, Recep Gül, Helmut Bölcskei
Metric Entropy Limits on Recurrent Neural Network Learning of Linear Dynamical Systems. CoRR (2021)
Verner Vlacic, Céline Aubel, Helmut Bölcskei
Beurling-type density criteria for system identification. CoRR (2021)
Dennis Elbrächter, Dmytro Perekrestenko, Philipp Grohs, Helmut Bölcskei
Deep Neural Network Approximation Theory. IEEE Trans. Inf. Theory 67 (5) (2021)
Erwin Riegler, Helmut Bölcskei, Günther Koliander
Lossy Compression of General Random Variables. CoRR (2021)
Recep Gül, David Stotz, Syed Ali Jafar, Helmut Bölcskei, Shlomo Shamai
Canonical Conditions for K/2 Degrees of Freedom. CoRR (2020)
Verner Vlacic, Helmut Bölcskei
Affine Symmetries and Neural Network Identifiability. CoRR (2020)
Dmytro Perekrestenko, Stephan Müller, Helmut Bölcskei
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks. CoRR (2020)
Dmytro Perekrestenko, Stephan Müller, Helmut Bölcskei
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks. ICML (2020)
Helmut Bölcskei, Philipp Grohs, Gitta Kutyniok, Philipp Petersen
Optimal Approximation with Sparsely Connected Deep Neural Networks. SIAM J. Math. Data Sci. 1 (1) (2019)
Philipp Grohs, Dmytro Perekrestenko, Dennis Elbrächter, Helmut Bölcskei
Deep Neural Network Approximation Theory. CoRR (2019)
Verner Vlacic, Helmut Bölcskei
Neural network identifiability for a family of sigmoidal nonlinearities. CoRR (2019)
Giovanni Alberti, Helmut Bölcskei, Camillo De Lellis, Günther Koliander, Erwin Riegler
Lossless Analog Compression. IEEE Trans. Inf. Theory 65 (11) (2019)
Erwin Riegler, Günther Koliander, Helmut Bölcskei
Rate-Distortion Theory for General Sets and Measures. CoRR (2018)
Erwin Riegler, Helmut Bölcskei, Günther Koliander
Rate-Distortion Theory for General Sets and Measures. ISIT (2018)
Dmytro Perekrestenko, Philipp Grohs, Dennis Elbrächter, Helmut Bölcskei
The universal approximation power of finite-width deep ReLU networks. CoRR (2018)
Erwin Riegler, Helmut Bölcskei
Uncertainty relations and sparse signal recovery. CoRR (2018)
Giovanni Alberti, Helmut Bölcskei, Camillo De Lellis, Günther Koliander, Erwin Riegler
Lossless Analog Compression. CoRR (2018)
Thomas Wiatowski, Helmut Bölcskei
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction. IEEE Trans. Inf. Theory 64 (3) (2018)
Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei
Energy Propagation in Deep Convolutional Neural Networks. IEEE Trans. Inf. Theory 64 (7) (2018)
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) (2018)
Recep Gül, Helmut Bölcskei, Shlomo Shamai
Necessary Conditions for K/2 Degrees of Freedom. CoRR (2018)
Recep Gül, Helmut Bölcskei, Shlomo Shamai
Necessary Conditions for K/2 Degrees of Freedom. ISIT (2018)
Michael Tschannen, Helmut Bölcskei
Noisy Subspace Clustering via Matching Pursuits. IEEE Trans. Inf. Theory 64 (6) (2018)
Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei
Energy Propagation in Deep Convolutional Neural Networks. CoRR (2017)
Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei
Energy decay and conservation in deep convolutional neural networks. ISIT (2017)
Helmut Bölcskei, Philipp Grohs, Gitta Kutyniok, Philipp Petersen
Optimal Approximation with Sparsely Connected Deep Neural Networks. CoRR (2017)
David Stotz, Erwin Riegler, Eirikur Agustsson, Helmut Bölcskei
Almost Lossless Analog Signal Separation and Probabilistic Uncertainty Relations. IEEE Trans. Inf. Theory 63 (9) (2017)
Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei
Topology Reduction in Deep Convolutional Feature Extraction Networks. CoRR (2017)
Céline Aubel, Helmut Bölcskei
Vandermonde Matrices with Nodes in the Unit Disk and the Large Sieve. CoRR (2017)
Céline Aubel, Helmut Bölcskei
Deterministic performance analysis of subspace methods for cisoid parameter estimation. ISIT (2016)
Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei
Discrete Deep Feature Extraction: A Theory and New Architectures. ICML (2016)
Michael Tschannen, Helmut Bölcskei
Noisy subspace clustering via matching pursuits. CoRR (2016)
David Stotz, Helmut Bölcskei
Characterizing Degrees of Freedom Through Additive Combinatorics. IEEE Trans. Inf. Theory 62 (11) (2016)
Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei
Discrete Deep Feature Extraction: A Theory and New Architectures. CoRR (2016)
Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei
Deep Convolutional Neural Networks on Cartoon Functions. CoRR (2016)
Michael Tschannen, Helmut Bölcskei
Robust nonparametric nearest neighbor random process clustering. CoRR (2016)
Céline Aubel, Helmut Bölcskei
Deterministic Performance Analysis of Subspace Methods for Cisoid Parameter Estimation. CoRR (2016)
Giovanni Alberti, Helmut Bölcskei, Camillo De Lellis, Günther Koliander, Erwin Riegler
Lossless linear analog compression. ISIT (2016)
David Stotz, Helmut Bölcskei
Degrees of Freedom in Vector Interference Channels. IEEE Trans. Inf. Theory 62 (7) (2016)
Giovanni Alberti, Helmut Bölcskei, Camillo De Lellis, Günther Koliander, Erwin Riegler
Lossless Linear Analog Compression. CoRR (2016)
David Stotz, Syed Ali Jafar, Helmut Bölcskei, Shlomo Shamai
Canonical conditions for K/2 degrees of freedom. ISIT (2016)
Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei
Deep convolutional neural networks on cartoon functions. ISIT (2016)
Erwin Riegler, David Stotz, Helmut Bölcskei
Information-Theoretic Limits of Matrix Completion. CoRR (2015)
Céline Aubel, David Stotz, Helmut Bölcskei
A Theory of Super-Resolution from Short-Time Fourier Transform Measurements. CoRR (2015)
Thomas Wiatowski, Helmut Bölcskei
Deep Convolutional Neural Networks Based on Semi-Discrete Frames. CoRR (2015)
David Stotz, Helmut Bölcskei
Characterizing degrees of freedom through additive combinatorics. CoRR (2015)
Thomas Wiatowski, Helmut Bölcskei
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction. CoRR (2015)
Erwin Riegler, David Stotz, Helmut Bölcskei
Information-theoretic limits of matrix completion. ISIT (2015)
Reinhard Heckel, Helmut Bölcskei
Robust Subspace Clustering via Thresholding. IEEE Trans. Inf. Theory 61 (11) (2015)
Michael Tschannen, Helmut Bölcskei
Nonparametric Nearest Neighbor Random Process Clustering. CoRR (2015)
Céline Aubel, Helmut Bölcskei
Density Criteria for the Identification of Linear Time-Varying Systems. CoRR (2015)
David Stotz, Erwin Riegler, Eirikur Agustsson, Helmut Bölcskei
Almost lossless analog signal separation and probabilistic uncertainty relations. CoRR (2015)
Thomas Wiatowski, Helmut Bölcskei
Deep convolutional neural networks based on semi-discrete frames. ISIT (2015)
Reinhard Heckel, Michael Tschannen, Helmut Bölcskei
Dimensionality-reduced subspace clustering. CoRR (2015)
Michael Tschannen, Helmut Bölcskei
Nonparametric nearest neighbor random process clustering. ISIT (2015)
Céline Aubel, Helmut Bölcskei
Density criteria for the identification of linear time-varying systems. ISIT (2015)
David Stotz, Helmut Bölcskei
Explicit and almost sure conditions for K/2 degrees of freedom. CoRR (2014)
Reinhard Heckel, Eirikur Agustsson, Helmut Bölcskei
Neighborhood Selection for Thresholding-based Subspace Clustering. CoRR (2014)
Reinhard Heckel, Eirikur Agustsson, Helmut Bölcskei
Neighborhood selection for thresholding-based subspace clustering. ICASSP (2014)
Alexander Jung, Reinhard Heckel, Helmut Bölcskei, Franz Hlawatsch
Compressive nonparametric graphical model selection for time series. ICASSP (2014)
Céline Aubel, David Stotz, Helmut Bölcskei
Super-Resolution from Short-Time Fourier Transform Measurements. CoRR (2014)
Céline Aubel, David Stotz, Helmut Bölcskei
Super-resolution from short-time Fourier transform measurements. ICASSP (2014)
David Stotz, Helmut Bölcskei
Explicit and almost sure conditions for K/2 degrees of freedom. ISIT (2014)
Reinhard Heckel, Michael Tschannen, Helmut Bölcskei
Subspace clustering of dimensionality-reduced data. CoRR (2014)
Reinhard Heckel, Michael Tschannen, Helmut Bölcskei
Subspace clustering of dimensionality-reduced data. ISIT (2014)
David Stotz, Erwin Riegler, Helmut Bölcskei
Almost Lossless Analog Signal Separation CoRR (2013)
Reinhard Heckel, Helmut Bölcskei
Identification of Sparse Linear Operators. IEEE Trans. Inf. Theory 59 (12) (2013)
David Stotz, Erwin Riegler, Helmut Bölcskei
Almost lossless analog signal separation. ISIT (2013)
Gerald Matz, Helmut Bölcskei, Franz Hlawatsch
Time-Frequency Foundations of Communications. CoRR (2013)
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) (2013)
Reinhard Heckel, Helmut Bölcskei
Noisy Subspace Clustering via Thresholding CoRR (2013)
Gerald Matz, Helmut Bölcskei, Franz Hlawatsch
Time-Frequency Foundations of Communications: Concepts and Tools. IEEE Signal Process. Mag. 30 (6) (2013)
Reinhard Heckel, Helmut Bölcskei
Robust Subspace Clustering via Thresholding. CoRR (2013)
Reinhard Heckel, Helmut Bölcskei
Subspace clustering via thresholding and spectral clustering. ICASSP (2013)
Reinhard Heckel, Helmut Bölcskei
Noisy subspace clustering via thresholding. ISIT (2013)
Reinhard Heckel, Helmut Bölcskei
Subspace Clustering via Thresholding and Spectral Clustering CoRR (2013)
Giuseppe Durisi, Veniamin I. Morgenshtern, Helmut Bölcskei
On the Sensitivity of Continuous-Time Noncoherent Fading Channel Capacity. IEEE Trans. Inf. Theory 58 (10) (2012)
Patrick Kuppinger, Giuseppe Durisi, Helmut Bölcskei
Uncertainty Relations and Sparse Signal Recovery for Pairs of General Signal Sets. IEEE Trans. Inf. Theory 58 (1) (2012)
David Stotz, Helmut Bölcskei
Degrees of Freedom in Vector Interference Channels CoRR (2012)
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 (2012)
Reinhard Heckel, Helmut Bölcskei
Identification of Sparse Linear Operators CoRR (2012)
Cemal Akçaba, Helmut Bölcskei
Diversity-Multiplexing Tradeoff in Two-User Fading Interference Channels. IEEE Trans. Inf. Theory 58 (7) (2012)
Céline Aubel, Christoph Studer, Graeme Pope, Helmut Bölcskei
Sparse Signal Separation in Redundant Dictionaries CoRR (2012)
Reinhard Heckel, Helmut Bölcskei
Joint Sparsity with Different Measurement Matrices CoRR (2012)
Reinhard Heckel, Helmut Bölcskei
Joint sparsity with different measurement matrices. Allerton Conference (2012)
Céline Aubel, Christoph Studer, Graeme Pope, Helmut Bölcskei
Sparse signal separation in redundant dictionaries. ISIT (2012)
Graeme Pope, Helmut Bölcskei
Sparse signal recovery in Hilbert spaces. ISIT (2012)
Christoph Studer, Patrick Kuppinger, Graeme Pope, Helmut Bölcskei
Recovery of Sparsely Corrupted Signals. IEEE Trans. Inf. Theory 58 (5) (2012)
David Stotz, Helmut Bölcskei
Degrees of freedom in vector interference channels. Allerton Conference (2012)
Graeme Pope, Helmut Bölcskei
Sparse Signal Recovery in Hilbert Spaces CoRR (2012)
Reinhard Heckel, Helmut Bölcskei
Compressive Identification of Linear Operators CoRR (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Helmut Bölcskei