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Empirical Inference Conference Paper 2023

Learning Layer-wise Equivariances Automatically using Gradients

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Empirical Inference
Alexander Immer
CLS Ph.D. Student

Author(s): van der Ouderaa, T. and Immer, A. and van der Wilk, M.
Book Title: Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
Volume: 36
Pages: 28365--28377
Year: 2023
Month: December
Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine
Publisher: Curran Associates, Inc.
Bibtex Type: Conference Paper (conference)
Event Name: 37th Annual Conference on Neural Information Processing Systems
Event Place: New Orleans, USA
State: Published
URL: https://proceedings.neurips.cc/paper_files/paper/2023/file/5a33645b5c5b7a9882652526d30d0acc-Paper-Conference.pdf
Supplement: https://proceedings.neurips.cc/paper_files/paper/2023/file/5a33645b5c5b7a9882652526d30d0acc-Supplemental-Conference.pdf

BibTex 

@conference{OudImmWil23,
  title = {Learning Layer-wise Equivariances Automatically using Gradients},
  booktitle = {Advances in Neural Information Processing Systems 36 (NeurIPS 2023)},
  volume = {36},
  pages = {28365--28377},
  editors = {A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine},
  publisher = {Curran Associates, Inc.},
  month = dec,
  year = {2023},
  slug = {oudimmwil23},
  author = {van der Ouderaa, T. and Immer, A. and van der Wilk, M.},
  url = {https://proceedings.neurips.cc/paper_files/paper/2023/file/5a33645b5c5b7a9882652526d30d0acc-Paper-Conference.pdf},
  month_numeric = {12}
}