P. Heinisch, A. Dulny, A. Krause, und A. Hotho. Workshop on Neuro-Explicit AI and Expert-Informed Machine Learning for Engineering and Physical Sciences at the ECML PKDD 2023, (2023)cite arxiv:2306.14511.
Z. Long, Y. Lu, und B. Dong. (2018)cite arxiv:1812.04426Comment: 16 pages, 15 figures. arXiv admin note: substantial text overlap with arXiv:1710.09668.
A. Dulny, A. Hotho, und A. Krause. KI 2022: Advances in Artificial Intelligence - 45th German Conference on AI, Trier, Germany, September 19-23, 2022, Proceedings, Volume 13404 von Lecture Notes in Computer Science, Seite 75--89. Springer, (2022)
J. Lin, R. Nogueira, und A. Yates. (2020)cite arxiv:2010.06467Comment: Final preproduction version of volume in Synthesis Lectures on Human Language Technologies by Morgan & Claypool.
R. Wang, E. Durmus, N. Goodman, und T. Hashimoto. (2022)cite arxiv:2203.11370Comment: ICLR Oral 2022. Code: https://github.com/rosewang2008/language_modeling_via_stochastic_processes.
Y. Xie, F. Shu, J. Rambach, A. Pagani, und D. Stricker. (2021)cite arxiv:2110.11219Comment: accepted to BMVC 2021, code opensource: https://github.com/EryiXie/PlaneRecNet.
W. Merrill, V. Ramanujan, Y. Goldberg, R. Schwartz, und N. Smith. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Seite 1766--1781. Online and Punta Cana, Dominican Republic, Association for Computational Linguistics, (November 2021)
X. Du, Z. Yu, B. Zhu, X. Chen, und Z. Ma. Proceedings of the International Conference on Acoustics, Speech and Signal Processing, Seite 551--555. IEEE, (Juni 2021)
J. Berner, P. Grohs, G. Kutyniok, und P. Petersen. (2021)cite arxiv:2105.04026Comment: This review paper will appear as a book chapter in the book "Theory of Deep Learning" by Cambridge University Press.
Z. Long, Y. Lu, und B. Dong. (2018)cite arxiv:1812.04426Comment: 16 pages, 15 figures. arXiv admin note: substantial text overlap with arXiv:1710.09668.
J. Sun, Y. Xie, L. Chen, X. Zhou, und H. Bao. (2021)cite arxiv:2104.00681Comment: Accepted to CVPR 2021 as Oral Presentation. Project page: https://zju3dv.github.io/neuralrecon/.