| 2025 | ACSSC | GAMA-IR: Global Additive Multidimensional Averaging for Fast Image Restoration. | Youssef Mansour, Reinhard Heckel |
| 2025 | ICML | Efficient Noise Calculation in Deep Learning-based MRI Reconstructions. | Onat Dalmaz, Arjun D. Desai, Reinhard Heckel, Tolga ukur, Akshay S. Chaudhari, Brian A. Hargreaves |
| 2025 | ISIT | Near Optimal Code Construction for the Adversarial Torn Paper Channel with Edit Errors. | Maria Abu Sini, Reinhard Heckel |
| 2025 | ISIT | Transformer-Based Decoding in Concatenated Coding Schemes Under Synchronization Errors. | Julian Streit, Franziska Weindel, Reinhard Heckel |
| 2024 | ECCV | TTT-MIM: Test-Time Training with Masked Image Modeling for Denoising Distribution Shifts. | Youssef Mansour, Xuyang Zhong, Serdar I. Caglar, Reinhard Heckel |
| 2024 | ICML | Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data. | Kang Lin, Reinhard Heckel |
| 2024 | WACV | IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. | Mohammad Zalbagi Darestani, Vishwesh Nath, Wenqi Li, Yufan He, Holger R. Roth, Ziyue Xu, Daguang Xu, Reinhard Heckel, Can Zhao |
| 2023 | CVPR | Zero-Shot Noise2Noise: Efficient Image Denoising without any Data. | Youssef Mansour, Reinhard Heckel |
| 2023 | ICLR | Scaling Laws For Deep Learning Based Image Reconstruction. | Tobit Klug, Reinhard Heckel |
| 2022 | AISTATS | Provable Continual Learning via Sketched Jacobian Approximations. | Reinhard Heckel |
| 2022 | CISS | Achieving the Capacity of a DNA Storage Channel with Linear Coding Schemes. | Kel Levick, Reinhard Heckel, Ilan Shomorony |
| 2022 | ICML | Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing. | Mohammad Zalbagi Darestani, Jiayu Liu, Reinhard Heckel |
| 2022 | ISIT | Regularization-wise double descent: Why it occurs and how to eliminate it. | Fatih Furkan Yilmaz, Reinhard Heckel |
| 2021 | ICLR | Early Stopping in Deep Networks: Double Descent and How to Eliminate it. | Reinhard Heckel, Fatih Furkan Yilmaz |
| 2021 | ICML | Measuring Robustness in Deep Learning Based Compressive Sensing. | Mohammad Zalbagi Darestani, Akshay S. Chaudhari, Reinhard Heckel |
| 2021 | ICML | Data augmentation for deep learning based accelerated MRI reconstruction with limited data. | Zalan Fabian, Reinhard Heckel, Mahdi Soltanolkotabi |
| 2021 | SIGMOD | Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. | Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava |
| 2020 | ICASSP | Capacity of the Erasure Shuffling Channel. | Seiyun Shin, Reinhard Heckel, Ilan Shomorony |
| 2020 | ICLR | Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators. | Reinhard Heckel, Mahdi Soltanolkotabi |
| 2020 | ICML | Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation. | Reinhard Heckel, Mahdi Soltanolkotabi |
| 2019 | AISTATS | Adaptive Estimation for Approximate | Daniel LeJeune, Reinhard Heckel, Richard G. Baraniuk |
| 2019 | ICASSP | A Fast and Robust Paradigm for Fourier Compressed Sensing Based on Coded Sampling. | Frank Ong, Reinhard Heckel, Kannan Ramchandran |
| 2019 | ICLR | Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks. | Reinhard Heckel, Paul Hand |
| 2019 | ISIT | Capacity Results for the Noisy Shuffling Channel. | Ilan Shomorony, Reinhard Heckel |
| 2018 | AISTATS | Approximate ranking from pairwise comparisons. | Reinhard Heckel, Max Simchowitz, Kannan Ramchandran, Martin J. Wainwright |
| 2017 | ICDE | Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering. | Reinhard Heckel, Michail Vlachos, Thomas P. Parnell, Celestine Dnner |
| 2017 | ICML | The Sample Complexity of Online One-Class Collaborative Filtering. | Reinhard Heckel, Kannan Ramchandran |
| 2017 | ISIT | Fundamental limits of DNA storage systems. | Reinhard Heckel, Ilan Shomorony, Kannan Ramchandran, David N. C. Tse |
| 2017 | SDM | Private and Right-Protected Big Data Publication: An Analysis. | Reinhard Heckel, Michail Vlachos |
| 2016 | ISIT | Super-resolution MIMO radar. | Reinhard Heckel |
| 2014 | ICASSP | Neighborhood selection for thresholding-based subspace clustering. | Reinhard Heckel, Eirikur Agustsson, Helmut Blcskei |
| 2014 | ICASSP | Compressive nonparametric graphical model selection for time series. | Alexander Jung, Reinhard Heckel, Helmut Blcskei, Franz Hlawatsch |
| 2014 | ISIT | Subspace clustering of dimensionality-reduced data. | Reinhard Heckel, Michael Tschannen, Helmut Blcskei |
| 2013 | ICASSP | Subspace clustering via thresholding and spectral clustering. | Reinhard Heckel, Helmut Blcskei |
| 2013 | ISIT | Noisy subspace clustering via thresholding. | Reinhard Heckel, Helmut Blcskei |
| 2011 | ISIT | Compressive identification of linear operators. | Reinhard Heckel, Helmut Blcskei |