CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. - Andreas Fürst; Elisabeth Rumetshofer; Viet Tran; Hubert Ramsauer; Fei Tang; Johannes Lehner; David P. Kreil; Michael Kopp 001; Günter Klambauer; Angela Bitto-Nemling; Sepp Hochreiter (CoRR, 2021)

Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning. - Kajetan Schweighofer; Markus Hofmarcher; Marius-Constantin Dinu; Philipp Renz; Angela Bitto-Nemling; Vihang Patil; Sepp Hochreiter (CoRR, 2021)

Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP. - Peter Knaus; Angela Bitto-Nemling; Annalisa Cadonna; Sylvia Frühwirth-Schnatter (J. Stat. Softw., 2021)

A Dataset Perspective on Offline Reinforcement Learning. - Kajetan Schweighofer; Marius-Constantin Dinu; Andreas Radler; Markus Hofmarcher; Vihang Prakash Patil; Angela Bitto-Nemling; Hamid Eghbal-zadeh; Sepp Hochreiter (CoLLAs, 2022)

Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning. - Christian Alexander Steinparz; Thomas Schmied; Fabian Paischer; Marius-Constantin Dinu; Vihang Prakash Patil; Angela Bitto-Nemling; Hamid Eghbal-zadeh; Sepp Hochreiter (CoLLAs, 2022)

History Compression via Language Models in Reinforcement Learning. - Fabian Paischer; Thomas Adler; Vihang Patil; Angela Bitto-Nemling; Markus Holzleitner; Sebastian Lehner; Hamid Eghbal-Zadeh; Sepp Hochreiter (ICML, 2022)

CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. - Andreas Fürst; Elisabeth Rumetshofer; Johannes Lehner; Viet T. Tran; Fei Tang; Hubert Ramsauer; David P. Kreil; Michael Kopp 001; Günter Klambauer; Angela Bitto; Sepp Hochreiter (NeurIPS, 2022)

Hopular: Modern Hopfield Networks for Tabular Data. - Bernhard Schäfl; Lukas Gruber; Angela Bitto-Nemling; Sepp Hochreiter (CoRR, 2022)