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Heckel, Reinhard

  1. DataComp-LM: In search of the next generation of training sets for language models
    2024/06/17 by Jeffrey Li, Alex Chengyu Fang, Li, Jeffrey +121 · 2 voices · 80 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG
  2. OpenThoughts: Data Recipes for Reasoning Models
    2025/06/04 by Etash Guha, Guha, Etash, Ryan Marten +102 · 2 voices · 61 citations
    Computer Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Mathematics, Computing, and Information Processing #cs.LG
  3. DiffuserCam: Lensless Single-exposure 3D Imaging
    2017/10/05 by Antipa, Nick, Kuo, Grace, Heckel, Reinhard +4 · 9 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  4. Approximate Ranking from Pairwise Comparisons
    2018/01/04 by Heckel, Reinhard, Simchowitz, Max, Ramchandran, Kannan +1 · 6 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. A Characterization of the DNA Data Storage Channel
    2018/03/08 by Heckel, Reinhard, Mikutis, Gediminas, Grass, Robert N. · 6 citations
    #Biomolecules (q-bio.BM) #Emerging Technologies (cs.ET) #FOS: Biological sciences #FOS: Computer and information sciences #Quantitative Methods (q-bio.QM)
  6. Language models scale reliably with over-training and on downstream tasks
    2024/03/13 by Samir Yitzhak Gadre, Georgios Smyrnis, Gadre, Samir Yitzhak +45 · 12 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  7. Unsupervised Learning with Stein's Unbiased Risk Estimator
    2018/05/26 by Metzler, Christopher A., Mousavi, Ali, Heckel, Reinhard +1 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. Theoretical Perspectives on Deep Learning Methods in Inverse Problems
    2022/06/29 by Scarlett, Jonathan, Heckel, Reinhard, Rodrigues, Miguel R. D. +2 · 6 citations
    #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #Statistics Theory (math.ST) #electronic engineering #information engineering
  9. Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
    2018/10/02 by Reinhard Heckel, Heckel, Reinhard, Paul Hand +1 · 4 citations
    Computer Science · Engineering · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
  10. Early Stopping in Deep Networks: Double Descent and How to Eliminate it
    2020/07/20 by Reinhard Heckel, Fatih Yılmaz, Heckel, Reinhard +1 · 4 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
  11. Deep Learning for Accelerated and Robust MRI Reconstruction: a Review
    2024/04/24 by Reinhard Heckel, Heckel, Reinhard, Mathews Jacob +7 · 6 citations
    Engineering · Medicine · Neuroscience · #Advanced X-ray and CT Imaging #Medical Imaging Techniques and Applications #Brain Tumor Detection and Classification
  12. Implicit Neural Networks with Fourier-Feature Inputs for Free-breathing Cardiac MRI Reconstruction
    2023/05/11 by Johannes F. Kunz, Kunz, Johannes F., Stefan Ruschke +3 · 4 citations
    Medicine · #Advanced MRI Techniques and Applications #Cardiac Imaging and Diagnostics #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Imaging Techniques and Applications #electronic engineering #information engineering
  13. Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
    2022/04/14 by Mohammad Zalbagi Darestani, Darestani, Mohammad Zalbagi, Jiayu Liu +3 · 3 citations
    Engineering · Medicine · Physics and Astronomy · #Advanced MRI Techniques and Applications #Atomic and Subatomic Physics Research #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
  14. A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron Tomography
    2023/11/09 by Simon Wiedemann, Wiedemann, Simon, Reinhard Heckel +1 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · Physics and Astronomy · #Advanced Electron Microscopy Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Nuclear Physics and Applications
  15. Deep Phase Decoder: Self-calibrating phase microscopy with an untrained\n deep neural network
    2020/01/24 by Emrah Bostan, Reinhard Heckel, Bostan, Emrah +7 · 2 citations
    Computer Science · Engineering · Physics and Astronomy · #Digital Holography and Microscopy #FOS: Electrical engineering #FOS: Physical sciences #Image Processing Techniques and Applications #Image and Video Processing (eess.IV) #Optical measurement and interference techniques #Optics (physics.optics) #electronic engineering #information engineering
  16. Data augmentation for deep learning based accelerated MRI reconstruction\n with limited data
    2021/06/28 by Zalan Fabian, Fabian, Zalan, Reinhard Heckel +3 · 2 citations
    Engineering · Medicine · #Advanced MRI Techniques and Applications #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #I.2 #I.4 #Image and Video Processing (eess.IV) #J.3 #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
  17. Subspace clustering of dimensionality-reduced data
    2014/04/27 by Heckel, Reinhard, Tschannen, Michael, Bölcskei, Helmut · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (stat.ML)
  18. Active Ranking from Pairwise Comparisons and when Parametric Assumptions Don't Help
    2016/06/28 by Heckel, Reinhard, Shah, Nihar B., Ramchandran, Kannan +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. Generalized Line Spectral Estimation via Convex Optimization
    2016/09/26 by Heckel, Reinhard, Soltanolkotabi, Mahdi · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  20. Learning Provably Robust Estimators for Inverse Problems via Jittering
    2023/07/24 by Anselm Krainovic, Mahdi Soltanolkotabi, Krainovic, Anselm +3 · 2 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
  21. Fundamental Limits of DNA Storage Systems
    2017/05/12 by Heckel, Reinhard, Shomorony, Ilan, Ramchandran, Kannan +1 · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  22. DNA-Based Storage: Models and Fundamental Limits
    2020/01/16 by Shomorony, Ilan, Heckel, Reinhard · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  23. Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation
    2020/05/07 by Heckel, Reinhard, Soltanolkotabi, Mahdi · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
  24. Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix
    2020/10/29 by Dai, Zhenwei, Desai, Aditya, Heckel, Reinhard +1 · 1 citation
    #Computation (stat.CO) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
  25. Measuring Robustness in Deep Learning Based Compressive Sensing
    2021/02/11 by Darestani, Mohammad Zalbagi, Chaudhari, Akshay S., Heckel, Reinhard · 1 citation
    #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  26. Interpolation can hurt robust generalization even when there is no noise
    2021/08/05 by Konstantin Donhauser, Alexandru Ţifrea, Donhauser, Konstantin +7 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  27. Image-to-Image MLP-mixer for Image Reconstruction
    2022/02/04 by Mansour, Youssef, Lin, Kang, Heckel, Reinhard · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  28. Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
    2022/10/20 by Daniel LeJeune, Jiayu Liu, LeJeune, Daniel +3 · 1 citation
    Engineering · Mathematics · #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
  29. Test-time Recalibration of Conformal Predictors Under Distribution Shift Based on Unlabeled Examples
    2022/10/09 by Fatih Yılmaz, Reinhard Heckel, Yilmaz, Fatih Furkan +1 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques
  30. Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
    2023/05/30 by Tobit Klug, Dogukan Atik, Klug, Tobit +3 · 1 citation
    Medicine · Engineering · #Medical Imaging Techniques and Applications #Photoacoustic and Ultrasonic Imaging #Advanced X-ray and CT Imaging
  31. Measuring Fingerprints of Web-filtered Text Datasets and Fingerprint Propagation Through Training
    2024/12/03 by Youssef Mansour, Reinhard Heckel, Mansour, Youssef +1 · 1 citation
    Computer Science · #Natural Language Processing Techniques