2022

Y. Xu, W. Yu, P. Ghamisi, M. Kopp, and S. Hochreiter (2022) Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks. arXiv:2208.04441, 2022-08-08. (more) (download)

B. Schäfl, L. Gruber, A. Bitto-Nemling, and S. Hochreiter (2022) Hopular: Modern Hopfield Networks for Tabular Data. arXiv:2206.00664, 2022-06-01. (more) (download)

F. Paischer, T. Adler, V. Patil, A. Bitto-Nemling, M. Holzleitner, S. Lehner, H. Eghbal-zadeh, and S. Hochreiter (2022) History Compression via Language Models in Reinforcement Learning. arXiv:2205.12258, 2022-05-24. (more) (download)

S. Hochreiter (2022) Toward a broad AI. Communications of the ACM, 65, 4, 56-57, 2022-03-19. (more) (download)

P. Seidl, P. Renz, N. Dyubankova, P. Neves, J. Verhoeven, J. K. Wegner, M. Segler, S. Hochreiter, and a. G. Klambauer (2022) Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks. Journal of Chemical Information and Modeling, 62, 9, 2111, 2022-01-15. (more) (download)

2021

A. Fürst, E. Rumetshofer, V. Tran, H. Ramsauer, F. Tang, J. Lehner, D. Kreil, M. Kopp, G. Klambauer, A. Bitto-Nemling, and S. Hochreiter (2021) CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. arXiv:2110.11316, 2021-10-21. (more) (download)

F. Tang & M. Kopp (2021) A Remark on a Paper of Krotov and Hopfield. arXiv:2105.15034, 2021-06-03. (more) (download)

P. Seidl, P. Renz, N. Dyubankova, P. Neves, J. Verhoeven, J. K. Wegner, S. Hochreiter, and G. Klambauer (2021) Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction. arXiv:2104.03279, 2021-04-07. (more) (download)

2020

H. Ramsauer, B. Schäfl, J. Lehner, P. Seidl, M. Widrich, L. Gruber, M. Holzleitner, M. Pavlović, G. K. Sandve, V. Greiff, D. Kreil, M. Kopp, G. Klambauer, J. Brandstetter, and S. Hochreiter (2020) Hopfield Networks is All You Need. arXiv:2008.02217, 2020-08-06. (more) (download)

M. Widrich, B. Schäfl, H. Ramsauer, M. Pavlović, L. Gruber, M. Holzleitner, J. Brandstetter, G. K. Sandve, V. Greiff, S. Hochreiter, and G. Klambauer (2020) Modern Hopfield Networks and Attention for Immune Repertoire Classification. arXiv:2007.13505, 2020-07-16. (more) (download)

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