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  As large as it gets - Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters

Grabinski, J., Keuper, J., & Keuper, M. (2024). As large as it gets - Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters. Transactions on Machine Learning Research, 2024, 1-42. Retrieved from https://openreview.net/forum?id=xRy1YRcHWj.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-60FF-6 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-6100-3
Genre: Journal Article
Latex : As large as it gets -- Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters

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 Creators:
Grabinski, Julia1, Author
Keuper, Janis1, Author
Keuper, Margret2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 2024
 Publication Status: Published online
 Pages: 42 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: grabinski2024as
URI: https://openreview.net/forum?id=xRy1YRcHWj
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Title: Transactions on Machine Learning Research
Source Genre: Journal
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Publ. Info: New York, NY : TMLR
Pages: - Volume / Issue: 2024 Sequence Number: - Start / End Page: 1 - 42 Identifier: ISSN: 2835-8856