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Schäfl, Bernhard
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1

G-Signatures: Global Graph Propagation With Randomized Sign..:

Schäfl, Bernhard ; Gruber, Lukas ; Brandstetter, Johannes.
http://arxiv.org/abs/2302.08811.  , 2023
Link: http://arxiv.org/abs/230..
 
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2

Hopular: Modern Hopfield Networks for Tabular Data:

Schäfl, Bernhard ; Gruber, Lukas ; Bitto-Nemling, Angela.
http://arxiv.org/abs/2206.00664.  , 2022
Link: http://arxiv.org/abs/220..
 
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3

Hopfield Networks is All You Need:

Ramsauer, Hubert ; Schäfl, Bernhard ; Lehner, Johannes...
http://arxiv.org/abs/2008.02217.  , 2020
Link: http://arxiv.org/abs/200..
 
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4

Modern Hopfield Networks and Attention for Immune Repertoir..:

Widrich, Michael ; Schäfl, Bernhard ; Ramsauer, Hubert...
http://arxiv.org/abs/2007.13505.  , 2020
Link: http://arxiv.org/abs/200..
 
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5

Utilizing Explicit and Implicit Memory in Deep Neural Netwo..:

Schäfl, Bernhard Franz
vignette : https://epub.jku.at/titlepage/urn/urn:nbn:at:at-ubl:1-70682/128.  , 2023
Link: https://resolver.obvsg.a..
 
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6

An LSTM-based approach for coiled-coil domain prediction:

Schäfl, Bernhard Franz
vignette : https://epub.jku.at/titlepage/urn/urn:nbn:at:at-ubl:1-23405/128.  , 2018
Link: https://resolver.obvsg.a..
 
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