Reinhard Heckel

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 88

Top Venues

ETH Zurich (PHD)

Education History

ETH Zurich

PHD

Publications

Reinhard Heckel, Mathews Jacob, Akshay Chaudhari, Or Perlman, Efrat Shimron
Deep Learning for Accelerated and Robust MRI Reconstruction: a Review. CoRR (2024)
Mohammad Zalbagi Darestani, Vishwesh Nath, Wenqi Li, Yufan He, Holger R. Roth, Ziyue Xu, Daguang Xu, Reinhard Heckel, Can Zhao
IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. WACV (2024)
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
DataComp-LM: In search of the next generation of training sets for language models. CoRR (2024)
Youssef Mansour, Reinhard Heckel
GAMA-IR: Global Additive Multidimensional Averaging for Fast Image Restoration. CoRR (2024)
Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Jenia Jitsev, Alexandros G. Dimakis, Gabriel Ilharco, Shuran Song, Thomas Kollar, Yair Carmon, Achal Dave, Reinhard Heckel, Niklas Muennighoff, Ludwig Schmidt
Language models scale reliably with over-training and on downstream tasks. CoRR (2024)
Stefan Bamberger, Reinhard Heckel, Felix Krahmer
Approximating Positive Homogeneous Functions with Scale Invariant Neural Networks. CoRR (2023)
Simon Wiedemann, Reinhard Heckel
A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron Tomography. CoRR (2023)
Franziska Weindel, Andreas L. Gimpel, Robert N. Grass, Reinhard Heckel
Embracing errors is more effective than avoiding them through constrained coding for DNA data storage. Allerton (2023)
Tobit Klug, Dogukan Atik, Reinhard Heckel
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods. NeurIPS (2023)
Kang Lin, Reinhard Heckel
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data. CoRR (2023)
Tobit Klug, Dogukan Atik, Reinhard Heckel
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods. CoRR (2023)
Johannes F. Kunz, Stefan Ruschke, Reinhard Heckel
Implicit Neural Networks with Fourier-Feature Inputs for Free-breathing Cardiac MRI Reconstruction. CoRR (2023)
Franziska Weindel, Andreas L. Gimpel, Robert N. Grass, Reinhard Heckel
Embracing Errors is More Efficient than Avoiding Them through Constrained Coding for DNA Data Storage. CoRR (2023)
Anselm Krainovic, Mahdi Soltanolkotabi, Reinhard Heckel
Learning Provably Robust Estimators for Inverse Problems via Jittering. NeurIPS (2023)
Frédéric Wang, Han Qi, Alfredo De Goyeneche, Reinhard Heckel, Michael Lustig, Efrat Shimron
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets. CoRR (2023)
Anselm Krainovic, Mahdi Soltanolkotabi, Reinhard Heckel
Learning Provably Robust Estimators for Inverse Problems via Jittering. CoRR (2023)
Youssef Mansour, Reinhard Heckel
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data. CoRR (2023)
Youssef Mansour, Reinhard Heckel
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data. CVPR (2023)
Tobit Klug, Reinhard Heckel
Scaling Laws For Deep Learning Based Image Reconstruction. ICLR (2023)
Youssef Mansour, Kang Lin, Reinhard Heckel
Image-to-Image MLP-mixer for Image Reconstruction. CoRR (2022)
Tobit Klug, Reinhard Heckel
Scaling Laws For Deep Learning Based Image Reconstruction. CoRR (2022)
Ilan Shomorony, Reinhard Heckel
Information-Theoretic Foundations of DNA Data Storage. CoRR (2022)
Ilan Shomorony, Reinhard Heckel
Information-Theoretic Foundations of DNA Data Storage. Found. Trends Commun. Inf. Theory 19 (1) (2022)
Daniel LeJeune, Jiayu Liu, Reinhard Heckel
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization. CoRR (2022)
Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques
Untrained Graph Neural Networks for Denoising. IEEE Trans. Signal Process. 70 (2022)
Fatih Furkan Yilmaz, Reinhard Heckel
Regularization-wise double descent: Why it occurs and how to eliminate it. ISIT (2022)
Fatih Furkan Yilmaz, Reinhard Heckel
Regularization-wise double descent: Why it occurs and how to eliminate it. CoRR (2022)
Jonathan Scarlett, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, Yonina C. Eldar
Theoretical Perspectives on Deep Learning Methods in Inverse Problems. IEEE J. Sel. Areas Inf. Theory 3 (3) (2022)
Jonathan Scarlett, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, Yonina C. Eldar
Theoretical Perspectives on Deep Learning Methods in Inverse Problems. CoRR (2022)
Mohammad Zalbagi Darestani, Jiayu Liu, Reinhard Heckel
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing. ICML (2022)
Kel Levick, Reinhard Heckel, Ilan Shomorony
Achieving the Capacity of a DNA Storage Channel with Linear Coding Schemes. CISS (2022)
Reinhard Heckel
Provable Continual Learning via Sketched Jacobian Approximations. AISTATS (2022)
Kang Lin, Reinhard Heckel
Vision Transformers Enable Fast and Robust Accelerated MRI. MIDL (2022)
Fatih Furkan Yilmaz, Reinhard Heckel
Test-time Recalibration of Conformal Predictors Under Distribution Shift Based on Unlabeled Examples. CoRR (2022)
Paul Hand, Reinhard Heckel, Jonathan Scarlett
Guest Editorial. IEEE J. Sel. Areas Inf. Theory 3 (3) (2022)
Mohammad Zalbagi Darestani, Akshay S. Chaudhari, Reinhard Heckel
Measuring Robustness in Deep Learning Based Compressive Sensing. ICML (2021)
Ilan Shomorony, Reinhard Heckel
DNA-Based Storage: Models and Fundamental Limits. IEEE Trans. Inf. Theory 67 (6) (2021)
Reinhard Heckel
Provable Continual Learning via Sketched Jacobian Approximations. CoRR (2021)
Mohammad Zalbagi Darestani, Reinhard Heckel
Accelerated MRI With Un-Trained Neural Networks. IEEE Trans. Computational Imaging 7 (2021)
Kel Levick, Reinhard Heckel, Ilan Shomorony
Achieving the Capacity of a DNA Storage Channel with Linear Coding Schemes. CoRR (2021)
Zalan Fabian, Reinhard Heckel, Mahdi Soltanolkotabi
Data augmentation for deep learning based accelerated MRI reconstruction with limited data. CoRR (2021)
Reinhard Heckel, Fatih Furkan Yilmaz
Early Stopping in Deep Networks: Double Descent and How to Eliminate it. ICLR (2021)
Konstantin Donhauser, Alexandru Tifrea, Michael Aerni, Reinhard Heckel, Fanny Yang
Interpolation can hurt robust generalization even when there is no noise. CoRR (2021)
Zalan Fabian, Reinhard Heckel, Mahdi Soltanolkotabi
Data augmentation for deep learning based accelerated MRI reconstruction with limited data. ICML (2021)
Konstantin Donhauser, Alexandru Tifrea, Michael Aerni, Reinhard Heckel, Fanny Yang
Interpolation can hurt robust generalization even when there is no noise. NeurIPS (2021)
Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques
Untrained Graph Neural Networks for Denoising. CoRR (2021)
Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. SIGMOD Conference (2021)
Mohammad Zalbagi Darestani, Reinhard Heckel
Can Un-trained Neural Networks Compete with Trained Neural Networks at Image Reconstruction? CoRR (2020)
Reinhard Heckel, Mahdi Soltanolkotabi
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation. ICML (2020)
Max Daniels, Paul Hand, Reinhard Heckel
Reducing the Representation Error of GAN Image Priors Using the Deep Decoder. CoRR (2020)
Ilan Shomorony, Reinhard Heckel
DNA-Based Storage: Models and Fundamental Limits. CoRR (2020)
Reinhard Heckel, Mahdi Soltanolkotabi
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation. CoRR (2020)
Seiyun Shin, Reinhard Heckel, Ilan Shomorony
Capacity of the Erasure Shuffling Channel. ICASSP (2020)
Reinhard Heckel, Mahdi Soltanolkotabi
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators. ICLR (2020)
Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. CoRR (2020)
Reinhard Heckel, Fatih Furkan Yilmaz
Early Stopping in Deep Networks: Double Descent and How to Eliminate it. CoRR (2020)
Zhenwei Dai, Reinhard Heckel
Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients. CoRR (2019)
Reinhard Heckel, Mahdi Soltanolkotabi
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators. CoRR (2019)
Reinhard Heckel
Regularizing linear inverse problems with convolutional neural networks. CoRR (2019)
Daniel LeJeune, Reinhard Heckel, Richard G. Baraniuk
Adaptive Estimation for Approximate $k$-Nearest-Neighbor Computations. AISTATS (2019)
Reinhard Heckel, Paul Hand
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks. ICLR (Poster) (2019)
Fatih Furkan Yilmaz, Reinhard Heckel
Leveraging inductive bias of neural networks for learning without explicit human annotations. CoRR (2019)
Daniel LeJeune, Richard G. Baraniuk, Reinhard Heckel
Adaptive Estimation for Approximate k-Nearest-Neighbor Computations. CoRR (2019)
Ilan Shomorony, Reinhard Heckel
Capacity Results for the Noisy Shuffling Channel. ISIT (2019)
Frank Ong, Reinhard Heckel, Kannan Ramchandran
A Fast and Robust Paradigm for Fourier Compressed Sensing Based on Coded Sampling. ICASSP (2019)
Ilan Shomorony, Reinhard Heckel
Capacity Results for the Noisy Shuffling Channel. CoRR (2019)
Michail Vlachos, Celestine Dünner, Reinhard Heckel, Vassilios G. Vassiliadis, Thomas P. Parnell, Kubilay Atasu
Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems. IEEE Trans. Knowl. Data Eng. 31 (7) (2019)
Christopher A. Metzler, Ali Mousavi, Reinhard Heckel, Richard G. Baraniuk
Unsupervised Learning with Stein's Unbiased Risk Estimator. CoRR (2018)
Reinhard Heckel, Mahdi Soltanolkotabi
Generalized Line Spectral Estimation via Convex Optimization. IEEE Trans. Inf. Theory 64 (6) (2018)
Reinhard Heckel
Super-resolution radar imaging via convex optimization. CoRR (2018)
Reinhard Heckel, Gediminas Mikutis, Robert N. Grass
A Characterization of the DNA Data Storage Channel. CoRR (2018)
Reinhard Heckel, Max Simchowitz, Kannan Ramchandran, Martin J. Wainwright
Approximate ranking from pairwise comparisons. AISTATS (2018)
Reinhard Heckel, Wen Huang, Paul Hand, Vladislav Voroninski
Deep Denoising: Rate-Optimal Recovery of Structured Signals with a Deep Prior. CoRR (2018)
Reinhard Heckel, Paul Hand
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks. CoRR (2018)
Reinhard Heckel, Max Simchowitz, Kannan Ramchandran, Martin J. Wainwright
Approximate Ranking from Pairwise Comparisons. CoRR (2018)
Reinhard Heckel, Ilan Shomorony, Kannan Ramchandran, David N. C. Tse
Fundamental limits of DNA storage systems. ISIT (2017)
Reinhard Heckel, Michail Vlachos
Private and Right-Protected Big Data Publication: An Analysis. SDM (2017)
Reinhard Heckel, Kannan Ramchandran
The Sample Complexity of Online One-Class Collaborative Filtering. ICML (2017)
Reinhard Heckel, Michail Vlachos, Thomas P. Parnell, Celestine Dünner
Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering. ICDE (2017)
Reinhard Heckel, Kannan Ramchandran
The Sample Complexity of Online One-Class Collaborative Filtering. CoRR (2017)
Nick Antipa, Grace Kuo, Reinhard Heckel, Ben Mildenhall, Emrah Bostan, Ren Ng, Laura Waller
DiffuserCam: Lensless Single-exposure 3D Imaging. CoRR (2017)
Reinhard Heckel, Ilan Shomorony, Kannan Ramchandran, David N. C. Tse
Fundamental Limits of DNA Storage Systems. CoRR (2017)
Reinhard Heckel, Nihar B. Shah, Kannan Ramchandran, Martin J. Wainwright
Active Ranking from Pairwise Comparisons and the Futility of Parametric Assumptions. CoRR (2016)
Reinhard Heckel
Super-resolution MIMO radar. ISIT (2016)
Reinhard Heckel, Michail Vlachos
Interpretable recommendations via overlapping co-clusters. CoRR (2016)
Reinhard Heckel, Mahdi Soltanolkotabi
Generalized Line Spectral Estimation via Convex Optimization. CoRR (2016)
Reinhard Heckel
Super-Resolution MIMO Radar. CoRR (2016)
Michail Vlachos, Vassilios G. Vassiliadis, Reinhard Heckel, A. Labbi
Toward interpretable predictive models in B2B recommender systems. IBM J. Res. Dev. 60 (5/6) (2016)
Reinhard Heckel, Helmut Bölcskei
Robust Subspace Clustering via Thresholding. IEEE Trans. Inf. Theory 61 (11) (2015)
Reinhard Heckel, Michael Tschannen, Helmut Bölcskei
Dimensionality-reduced subspace clustering. CoRR (2015)
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)
Reinhard Heckel, Veniamin I. Morgenshtern, Mahdi Soltanolkotabi
Super-Resolution Radar. CoRR (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)
Reinhard Heckel, Steffen Schober, Martin Bossert
Harmonic analysis of Boolean networks: determinative power and perturbations. EURASIP J. Bioinform. Syst. Biol. 2013 (2013)
Reinhard Heckel, Helmut Bölcskei
Identification of Sparse Linear Operators. IEEE Trans. Inf. Theory 59 (12) (2013)
Reinhard Heckel, Helmut Bölcskei
Noisy Subspace Clustering via Thresholding CoRR (2013)
Reinhard Heckel, Helmut Bölcskei
Robust Subspace Clustering via Thresholding. CoRR (2013)

Reinhard Heckel.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Reinhard Heckel