| Fs-mol: A few-shot learning dataset of molecules M Stanley, JF Bronskill, K Maziarz, H Misztela, J Lanini, M Segler, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 92 | 2021 |
| PREFER: a new predictive modeling framework for molecular discovery J Lanini, G Santarossa, F Sirockin, R Lewis, N Fechner, H Misztela, ... Journal of Chemical Information and Modeling 63 (15), 4497-4504, 2023 | 9 | 2023 |
| Private information retrieval with a trusted hardware unit–revisited Ł Krzywiecki, M Kutyłowski, H Misztela, T Strumiński International Conference on Information Security and Cryptology, 373-386, 2010 | 4 | 2010 |
| Are VAEs Bad at Reconstructing Molecular Graphs? H Muenkler, H Misztela, M Pikusa, M Segler, S Nadine, K Maziarz ELLIS Workshop - Critical assessment of molecular machine learning workshop …, 2022 | 2 | 2022 |
| Chimera: Accurate retrosynthesis prediction by ensembling models with diverse inductive biases K Maziarz, G Liu, H Misztela, A Kornev, P Gaiński, H Hoefling, ... arXiv preprint arXiv:2412.05269, 2024 | 1 | 2024 |
Krzysztof MaziarzMicrosoft Research, AI for SciencePreverjeni e-poštni naslov na microsoft.com
