| Multitask prompted training enables zero-shot task generalization V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ... The Tenth International Conference on Learning Representations (ICLR 2022), 2021 | 341 | 2021 |
| Mixed-precision in-memory computing M Le Gallo, A Sebastian, R Mathis, M Manica, H Giefers, T Tuma, C Bekas, ... Nature Electronics 1 (4), 246-253, 2018 | 328 | 2018 |
| Toward Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-Based Convolutional Encoders M Manica, A Oskooei, J Born, V Subramanian, J Sáez-Rodríguez, ... Molecular Pharmaceutics, 2019 | 90 | 2019 |
| CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models V Chenthamarakshan, P Das, I Padhi, H Strobelt, KW Lim, B Hoover, ... Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020 | 74 | 2020 |
| Bloom: A 176b-parameter open-access multilingual language model TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... arXiv preprint arXiv:2211.05100, 2022 | 72 | 2022 |
| PaccMannRL: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning J Born, M Manica, A Oskooei, J Cadow, G Markert, MR Martínez iScience 2021 / RECOMB 2020, 2021 | 59* | 2021 |
| On the role of artificial intelligence in medical imaging of COVID-19 J Born, D Beymer, D Rajan, A Coy, VV Mukherjee, M Manica, P Prasanna, ... Patterns 2 (6), 100269, 2021 | 43 | 2021 |
| Guiding attention in sequence-to-sequence models for dialogue act prediction P Colombo, E Chapuis, M Manica, E Vignon, G Varni, C Clavel Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7594-7601, 2020 | 38 | 2020 |
| Biocatalysed synthesis planning using data-driven learning D Probst, M Manica, YG Nana Teukam, A Castrogiovanni, F Paratore, ... Nature communications 13 (1), 964, 2022 | 30* | 2022 |
| Hierarchical pre-training for sequence labelling in spoken dialog E Chapuis, P Colombo, M Manica, M Labeau, C Clavel Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 | 29 | 2020 |
| PaccMann: a web service for interpretable anticancer compound sensitivity prediction J Cadow, J Born, M Manica, A Oskooei, M Rodríguez Martínez Nucleic acids research 48 (W1), W502-W508, 2020 | 27 | 2020 |
| PIMKL: Pathway-induced multiple kernel learning M Manica, J Cadow, R Mathis, MR Martínez NPJ Systems Biology and Applications 5 (1), 1-8, 2019 | 26 | 2019 |
| Data-driven Molecular Design for Discovery and Synthesis of Novel Ligands-A case study on SARS-CoV-2 J Born, M Manica, J Cadow, G Markert, M Filipavicius, NA Mill, ... Machine Learning: Science and Technology / ICML 2020 Workshop on …, 2021 | 24* | 2021 |
| PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks A Oskooei, J Born, M Manica, V Subramanian, J Sáez-Rodríguez, ... NeurIPS 2018 Workshop on Machine Learning for Molecule and Materials, 2018 | 24 | 2018 |
| Network-based biased tree ensembles (NetBiTE) for drug sensitivity prediction and drug sensitivity biomarker identification in cancer A Oskooei, M Manica, R Mathis, MR Martínez Scientific Reports 9, 2018 | 24 | 2018 |
| Convergent network effects along the axis of gene expression during prostate cancer progression K Charmpi, T Guo, Q Zhong, U Wagner, R Sun, NC Toussaint, CE Fritz, ... Genome Biology 21 (1), 1-31, 2020 | 13* | 2020 |
| An information extraction and knowledge graph platform for accelerating biochemical discoveries M Manica, C Auer, V Weber, F Zipoli, M Dolfi, P Staar, T Laino, C Bekas, ... KDD 2019 Workshop on Applied Data Science for Healthcare, 2019 | 13 | 2019 |
| Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks M Filipavicius, M Manica, J Cadow, MR Martinez NeurIPS 2020 Workshop on Machine Learning for Structural Biology, 2020 | 12 | 2020 |
| Context-specific interaction networks from vector representation of words M Manica, R Mathis, J Cadow, M Rodríguez Martínez Nature Machine Intelligence 1 (4), 181-190, 2019 | 10 | 2019 |
| Interaction network inference from vector representation of words M Manica, R Mathis, MR Martinez, K Bekas US Patent 10,593,422, 2020 | 7 | 2020 |
María Rodríguez Martínez (ORCID: 00...IBM Research - ZürichVerified email at zurich.ibm.com
