| Parameterized hypercomplex graph neural networks for graph classification T Le, M Bertolini, F Noé, DA Clevert International Conference on Artificial Neural Networks, 204-216, 2021 | 42 | 2021 |
| On the global symmetries of 6D superconformal field theories M Bertolini, PR Merkx, DR Morrison Journal of High Energy Physics 2016 (7), 1-47, 2016 | 36 | 2016 |
| Accidents in (0, 2) Landau-Ginzburg theories M Bertolini, IV Melnikov, MR Plesser Journal of High Energy Physics 2014 (12), 157, 2014 | 33 | 2014 |
| Hybrid conformal field theories M Bertolini, IV Melnikov, MR Plesser Journal of High Energy Physics 2014 (5), 1-52, 2014 | 31 | 2014 |
| Unsupervised learning of group invariant and equivariant representations R Winter, M Bertolini, T Le, F Noé, DA Clevert Advances in Neural Information Processing Systems 35, 31942-31956, 2022 | 29 | 2022 |
| Worldsheet instantons and (0, 2) linear models M Bertolini, MR Plesser Journal of High Energy Physics 2015 (8), 81, 2015 | 24 | 2015 |
| Aspects of and hybrid models M Bertolini, M Romo Communications in Number Theory and Physics 14 (2), 325-412, 2020 | 17 | 2020 |
| A Fast and Interpretable Deep Learning Approach for Accurate Electrostatics-Driven pKa Predictions in Proteins PBPS Reis, M Bertolini, F Montanari, W Rocchia, M Machuqueiro, ... Journal of Chemical Theory and Computation 18 (8), 5068-5078, 2022 | 15* | 2022 |
| Massless spectrum for hybrid CFTs M Bertolini, IV Melnikov, MR Plesser Proc. Symp. Pure Math. 88 (arXiv: 1402.1751), 221-230, 2014 | 5 | 2014 |
| Fixed points of (0, 2) Landau-Ginzburg renormalization group flows and the chiral algebra M Bertolini, IV Melnikov, MR Plesser Journal of High Energy Physics 2022 (9), 1-41, 2022 | 4 | 2022 |
| Testing the (0, 2) mirror map M Bertolini Journal of High Energy Physics 2019, 1-29, 2019 | 4 | 2019 |
| (0, 2) hybrid models M Bertolini, MR Plesser Journal of High Energy Physics 2018 (9), 67, 2018 | 4 | 2018 |
| Explaining, evaluating and enhancing neural networks’ learned representations M Bertolini, DA Clevert, F Montanari International Conference on Artificial Neural Networks, 269-287, 2023 | 3 | 2023 |
| Beyond Atoms and Bonds: Contextual Explainability via Molecular Graphical Depictions M Bertolini, L Zhao, DA Clevert, F Montanari ELLIS Workshop "ML4Molecules", 2021 | 3 | 2021 |
| From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology M Bertolini, VK Le, J Pencharz, A Poehlmann, DA Clevert, S Villalba, ... arXiv preprint arXiv:2302.01653, 2023 | 1 | 2023 |
| A (0, 2) mirror duality M Bertolini, MR Plesser arXiv preprint arXiv:1812.01867, 2018 | 1 | 2018 |
| Moduli Space of (0, 2) Conformal Field Theories M Bertolini Duke University, 2016 | 1 | 2016 |
| Going full hyper: hyperbolic and hypercomplex graph embeddings for ADMET modeling T Le, M Bertolini, MA Boef, F Montanari, DA Clevert NeurIPS Workshop "ML4Molecules", 2020 | | 2020 |
| A (0, 2) mirror duality R Plesser, M Bertolini | | 2019 |
| Loop di Wilson supersimmetrici nelle teorie di gauge e dualità gauge/gravità M Bertolini | | 2013 |
Djork-Arné ClevertPfizer, VP, Machine Learning ResearchVerified email at pfizer.com
