( en | de | ru )

 

Disambiguation of "Heckel, Reinhard"

Author of the publication

copydeleteadd this publication to your clipboard
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks.

, and . ICLR (Poster), OpenReview.net, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Reinhard Heckel

Claudia Heckel

Einfluss von Omega-3-Fettsäuren aus Algen auf das Fettsäuremuster und auf Knochenparameter beim Pony. Uni München, (2009)

Erna Heckel

Hermann Heckel

Elfriede Heckel

 

Other publications of authors with the same name

Language models scale reliably with over-training and on downstream tasks., , , , , , , , , and 13 other author(s). CoRR, (2024)Scaling Laws For Deep Learning Based Image Reconstruction., and . CoRR, (2022)Embracing errors is more effective than avoiding them through constrained coding for DNA data storage., , , and . Allerton, page 1-8. IEEE, (2023)Early Stopping in Deep Networks: Double Descent and How to Eliminate it., and . ICLR, OpenReview.net, (2021)Provable Continual Learning via Sketched Jacobian Approximations.. AISTATS, volume 151 of Proceedings of Machine Learning Research, page 10448-10470. PMLR, (2022)Regularization-wise double descent: Why it occurs and how to eliminate it., and . ISIT, page 426-431. IEEE, (2022)Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix., , , and . SIGMOD Conference, page 352-364. ACM, (2021)TTT-MIM: Test-Time Training with Masked Image Modeling for Denoising Distribution Shifts., , , and . ECCV (12), volume 15070 of Lecture Notes in Computer Science, page 341-357. Springer, (2024)Measuring Bias of Web-filtered Text Datasets and Bias Propagation Through Training., and . CoRR, (2024)Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks., and . ICLR (Poster), OpenReview.net, (2019)