Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences

Niklas Schmidinger; Lisa Schneckenreiter; Philipp Seidl; Johannes Schimunek; Pieter-Jan Hoedt; Johannes Brandstetter; Andreas Mayr; Sohvi Luukkonen; Sepp Hochreiter; Günter Klambauer

Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences

Research output: Chapter in Book/Report/Conference proceeding › Poster › peer-review

Original language	English
Title of host publication	The Thirteenth International Conference on Learning Representations
Edition	1
ISBN (Electronic)	9798331320850
Publication status	Published - 2025

Fields of science

102001 Artificial intelligence
102019 Machine learning

JKU Focus areas

Digital Transformation

Access to Document

https://openreview.net/forum?id=IjbXZdugdj

Cite this

Schmidinger, N., Schneckenreiter, L., Seidl, P., Schimunek, J., Hoedt, P.-J., Brandstetter, J., Mayr, A., Luukkonen, S., Hochreiter, S., & Klambauer, G. (2025). Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences. In The Thirteenth International Conference on Learning Representations (1 ed.) https://openreview.net/forum?id=IjbXZdugdj

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author = "Niklas Schmidinger and Lisa Schneckenreiter and Philipp Seidl and Johannes Schimunek and Pieter-Jan Hoedt and Johannes Brandstetter and Andreas Mayr and Sohvi Luukkonen and Sepp Hochreiter and G{\"u}nter Klambauer",

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language = "English",

booktitle = "The Thirteenth International Conference on Learning Representations",

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Schmidinger, N, Schneckenreiter, L , Seidl, P , Schimunek, J , Hoedt, P-J , Brandstetter, J , Mayr, A , Luukkonen, S , Hochreiter, S & Klambauer, G 2025, Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences. in The Thirteenth International Conference on Learning Representations. 1 edn. <https://openreview.net/forum?id=IjbXZdugdj>

TY - CHAP

T1 - Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences

AU - Schmidinger, Niklas

AU - Schneckenreiter, Lisa

AU - Seidl, Philipp

AU - Schimunek, Johannes

AU - Hoedt, Pieter-Jan

AU - Brandstetter, Johannes

AU - Mayr, Andreas

AU - Luukkonen, Sohvi

AU - Hochreiter, Sepp

AU - Klambauer, Günter

PY - 2025

Y1 - 2025

M3 - Poster

BT - The Thirteenth International Conference on Learning Representations

ER -