Reinhard Heckel

According to our database1, Reinhard Heckel authored at least 46 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix.
CoRR, 2020

Early Stopping in Deep Networks: Double Descent and How to Eliminate it.
CoRR, 2020

Can Un-trained Neural Networks Compete with Trained Neural Networks at Image Reconstruction?
CoRR, 2020

Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation.
CoRR, 2020

Reducing the Representation Error of GAN Image Priors Using the Deep Decoder.
CoRR, 2020

DNA-Based Storage: Models and Fundamental Limits.
CoRR, 2020

Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation.
Proceedings of the 37th International Conference on Machine Learning, 2020

Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators.
Proceedings of the 8th International Conference on Learning Representations, 2020

Capacity of the Erasure Shuffling Channel.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2019

Leveraging inductive bias of neural networks for learning without explicit human annotations.
CoRR, 2019

Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients.
CoRR, 2019

Regularizing linear inverse problems with convolutional neural networks.
CoRR, 2019

Capacity Results for the Noisy Shuffling Channel.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

A Fast and Robust Paradigm for Fourier Compressed Sensing Based on Coded Sampling.
Proceedings of the IEEE International Conference on Acoustics, 2019

Adaptive Estimation for Approximate $k$-Nearest-Neighbor Computations.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Generalized Line Spectral Estimation via Convex Optimization.
IEEE Trans. Inf. Theory, 2018

Super-resolution radar imaging via convex optimization.
CoRR, 2018

Unsupervised Learning with Stein's Unbiased Risk Estimator.
CoRR, 2018

Deep Denoising: Rate-Optimal Recovery of Structured Signals with a Deep Prior.
CoRR, 2018

A Characterization of the DNA Data Storage Channel.
CoRR, 2018

Approximate ranking from pairwise comparisons.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
DiffuserCam: Lensless Single-exposure 3D Imaging.
CoRR, 2017

Private and Right-Protected Big Data Publication: An Analysis.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Fundamental limits of DNA storage systems.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

The Sample Complexity of Online One-Class Collaborative Filtering.
Proceedings of the 34th International Conference on Machine Learning, 2017

Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Toward interpretable predictive models in B2B recommender systems.
IBM J. Res. Dev., 2016

Interpretable recommendations via overlapping co-clusters.
CoRR, 2016

Active Ranking from Pairwise Comparisons and the Futility of Parametric Assumptions.
CoRR, 2016

Super-resolution MIMO radar.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
Robust Subspace Clustering via Thresholding.
IEEE Trans. Inf. Theory, 2015

Dimensionality-reduced subspace clustering.
CoRR, 2015

2014
Sparse signal processing: subspace clustering and system identification.
PhD thesis, 2014

Super-Resolution Radar.
CoRR, 2014

Subspace clustering of dimensionality-reduced data.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Compressive nonparametric graphical model selection for time series.
Proceedings of the IEEE International Conference on Acoustics, 2014

Neighborhood selection for thresholding-based subspace clustering.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Identification of Sparse Linear Operators.
IEEE Trans. Inf. Theory, 2013

Harmonic analysis of Boolean networks: determinative power and perturbations.
EURASIP J. Bioinform. Syst. Biol., 2013

Noisy subspace clustering via thresholding.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Subspace clustering via thresholding and spectral clustering.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Joint sparsity with different measurement matrices.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Detecting controlling nodes of boolean regulatory networks.
EURASIP J. Bioinform. Syst. Biol., 2011

Compressive identification of linear operators.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011


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