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Michael Widrich
Michael Widrich
Machine Learning Scientist @ Freenome
Dirección de correo verificada de freenome.com - Página principal
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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
4672020
Speeding up semantic segmentation for autonomous driving
M Treml, J Arjona-Medina, T Unterthiner, R Durgesh, F Friedmann, ...
3372016
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
2372018
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
1192020
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
1112019
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
902022
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
632021
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
622020
Cross-domain few-shot learning by representation fusion
T Adler, J Brandstetter, M Widrich, A Mayr, D Kreil, MK Kopp, ...
442020
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
352022
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
252021
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
212021
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
142020
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
42024
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
12021
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
SUPPLEMENT A: Modern Hopfield Networks and Attention for Immune Repertoire Classification
M Widrich, B Schäfl, M Pavlovic, GK Sandve, S Hochreiter, V Greiff, ...
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Artículos 1–20