RUDDER: Return Decomposition for Delayed Rewards. - Jose A. Arjona-Medina; Michael Gillhofer; Michael Widrich; Thomas Unterthiner; Sepp Hochreiter (CoRR, 2018)

RUDDER: Return Decomposition for Delayed Rewards. - Jose A. Arjona-Medina; Michael Gillhofer; Michael Widrich; Thomas Unterthiner; Johannes Brandstetter; Sepp Hochreiter (NeurIPS, 2019)

Explaining and Interpreting LSTMs. - Leila Arras; Jose A. Arjona-Medina; Michael Widrich; Grégoire Montavon; Michael Gillhofer; Klaus-Robert Müller; Sepp Hochreiter; Wojciech Samek (CoRR, 2019)

Explaining and Interpreting LSTMs. - Leila Arras; Jose A. Arjona-Medina; Michael Widrich; Grégoire Montavon; Michael Gillhofer; Klaus-Robert Müller; Sepp Hochreiter; Wojciech Samek (Explainable AI, 2019)

Modern Hopfield Networks and Attention for Immune Repertoire Classification. - Michael Widrich; Bernhard Schäfl; Milena Pavlovic; Hubert Ramsauer; Lukas Gruber; Markus Holzleitner; Johannes Brandstetter; Geir Kjetil Sandve; Victor Greiff; Sepp Hochreiter; Günter Klambauer (NeurIPS, 2020)

Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. - Markus Hofmarcher; Andreas Mayr; Elisabeth Rumetshofer; Peter Ruch; Philipp Renz; Johannes Schimunek; Philipp Seidl; Andreu Vall; Michael Widrich; Sepp Hochreiter; Günter Klambauer (CoRR, 2020)

Hopfield Networks is All You Need. - Hubert Ramsauer; Bernhard Schäfl; Johannes Lehner; Philipp Seidl; Michael Widrich; Lukas Gruber; Markus Holzleitner; Milena Pavlovic; Geir Kjetil Sandve; Victor Greiff; David P. Kreil; Michael Kopp 001; et al. (CoRR, 2020)

Cross-Domain Few-Shot Learning by Representation Fusion. - Thomas Adler; Johannes Brandstetter; Michael Widrich; Andreas Mayr; David P. Kreil; Michael Kopp 001; Günter Klambauer; Sepp Hochreiter (CoRR, 2020)

Hopfield Networks is All You Need. - Hubert Ramsauer; Bernhard Schäfl; Johannes Lehner; Philipp Seidl; Michael Widrich; Lukas Gruber; Markus Holzleitner; Thomas Adler; David P. Kreil; Michael K. Kopp 001; Günter Klambauer; Johannes Brandstetter; et al. (ICLR, 2021)

The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires. - Milena Pavlovic; Lonneke Scheffer; Keshav Motwani; Chakravarthi Kanduri; Radmila Kompova; Nikolay Vazov; Knut Waagan; Fabian L. M. Bernal; Alexandre Almeida Costa; Brian Corrie; Rahmad Akbar; Ghadi S. Al Hajj; et al. (Nat. Mach. Intell., 2021)

Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction. - Philippe A. Robert; Rahmad Akbar; Robert Frank 006; Milena Pavlovic; Michael Widrich; Igor Snapkov; Andrei Slabodkin; Maria Chernigovskaya; Lonneke Scheffer; Eva Smorodina; Puneet Rawat; Brij Bhushan Mehta; et al. (Nat. Comput. Sci., 2022)

Incorporating probabilistic domain knowledge into deep multiple instance learning. - Ghadi S. Al Hajj; Aliaksandr Hubin; Chakravarthi Kanduri; Milena Pavlovic; Knut Dagestad Rand; Michael Widrich; Anne H. Schistad Solberg; Victor Greiff; Johan Pensar; Günter Klambauer; Geir Kjetil Sandve (ICML, 2024)

Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data. - Robert Frank 006; Michael Widrich; Rahmad Akbar; Günter Klambauer; Geir Kjetil Sandve; Philippe A. Robert; Victor Greiff (CoRR, 2025)