Hopfield networks is all you need H Ramsauer, B Schäfl, J Lehner, P Seidl, M Widrich, T Adler, L Gruber, ... arXiv preprint arXiv:2008.02217, 2020 | 486 | 2020 |
Speeding up semantic segmentation for autonomous driving M Treml, J Arjona-Medina, T Unterthiner, R Durgesh, F Friedmann, ... | 348 | 2016 |
Rudder: Return decomposition for delayed rewards JA Arjona-Medina, M Gillhofer, M Widrich, T Unterthiner, J Brandstetter, ... Advances in Neural Information Processing Systems 32, 2018 | 246 | 2018 |
Modern Hopfield Networks and Attention for Immune Repertoire Classification GK Michael Widrich, Bernhard Schäfl, Hubert Ramsauer, Milena Pavlović, Lukas ... Advances in Neural Information Processing Systems 33, 18832-18845, 2020 | 121 | 2020 |
Explaining and interpreting LSTMs L Arras, J Arjona-Medina, M Widrich, G Montavon, M Gillhofer, KR Müller, ... Explainable ai: Interpreting, explaining and visualizing deep learning, 211-238, 2019 | 121 | 2019 |
In silico proof of principle of machine learning-based antibody design at unconstrained scale R Akbar, PA Robert, CR Weber, M Widrich, R Frank, M Pavlović, ... MAbs 14 (1), 2031482, 2022 | 97 | 2022 |
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires M Pavlović, L Scheffer, K Motwani, C Kanduri, R Kompova, N Vazov, ... Nature Machine Intelligence 3 (11), 936-944, 2021 | 66 | 2021 |
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks M Hofmarcher, A Mayr, E Rumetshofer, P Ruch, P Renz, J Schimunek, ... arXiv preprint arXiv:2004.00979, 2020 | 62 | 2020 |
Cross-domain few-shot learning by representation fusion T Adler, J Brandstetter, M Widrich, A Mayr, D Kreil, MK Kopp, ... | 46 | 2020 |
Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction PA Robert, R Akbar, R Frank, M Pavlović, M Widrich, I Snapkov, ... Nature Computational Science 2 (12), 845-865, 2022 | 37 | 2022 |
One billion synthetic 3D-antibody-antigen complexes enable unconstrained machine-learning formalized investigation of antibody specificity prediction PA Robert, R Akbar, R Frank, M Pavlović, M Widrich, I Snapkov, ... BioRXiV, 2021.07. 06.451258, 2021 | 25 | 2021 |
Modern hopfield networks for return decomposition for delayed rewards M Widrich, M Hofmarcher, VP Patil, A Bitto-Nemling, S Hochreiter Deep RL Workshop NeurIPS 2021, 2021 | 22 | 2021 |
Hopfield networks is all you need. arXiv 2020 H Ramsauer, B Schäfl, J Lehner, P Seidl, M Widrich, T Adler, L Gruber, ... arXiv preprint arXiv:2008.02217, 0 | 16 | |
DeepRC: immune repertoire classification with attention-based deep massive multiple instance learning M Widrich, B Schäfl, M Pavlović, GK Sandve, S Hochreiter, V Greiff, ... BioRxiv 2020, 038158, 2020 | 14 | 2020 |
A community effort in SARS‐CoV‐2 drug discovery J Schimunek, P Seidl, K Elez, T Hempel, T Le, F Noé, S Olsson, L Raich, ... Molecular Informatics 43 (1), e202300262, 2024 | 6 | 2024 |
Modern Hopfield networks for sample-efficient return decomposition from demonstrations M Widrich, M Hofmarcher, VP Patil, A Bitto-Nemling, S Hochreiter Offline Reinforcement Learning Workshop NeurIPS, 2021 | 1 | 2021 |
A community effort to discover small molecule SARS-CoV-2 inhibitors J Schimunek, P Seidl, K Elez, T Hempel, T Le, F Noé, S Olsson, L Raich, ... American Chemical Society (ACS), 2023 | | 2023 |
Deep Learning Methods for Credit Assignment in Reinforcement Learning and Immune Repertoire Classification/submitted by Michael Widrich M Widrich | | 2022 |
Long Short-Term Memory and convolutional neural networks for SNV-based phenotype prediction/submitted by Michael Widrich M Widrich | | 2016 |
Incorporating probabilistic domain knowledge into deep multiple instance learning GS Al Hajj, A Hubin, C Kanduri, M Pavlovic, KD Rand, M Widrich, ... Forty-first International Conference on Machine Learning, 0 | | |