Improving Set Function Approximation with Quasi-Arithmetic Neural Networks. Tokar, T. & Sanner, S. In Proceedings of the International Conference on Learning Representations (ICLR-26), Rio de Janeiro, Brazil, 2026.
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Arxiv Url bibtex 19 downloads
Paper Arxiv Url bibtex 19 downloads @inproceedings{sanner:iclr26b,
title = {Improving Set Function Approximation with Quasi-Arithmetic Neural Networks},
author = {Tomas Tokar and Scott Sanner},
booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR}-26)},
address = {Rio de Janeiro, Brazil},
year = {2026},
url_paper = {https://ssanner.github.io/papers/iclr26_quann.pdf},
url_arxiv = {https://www.arxiv.org/abs/2602.04941},
url_url = {https://iclr.cc/virtual/2026/poster/10010201}
}Downloads: 19
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