Genome-wide mapping of somatic mutation rates uncovers drivers of cancer MA Sherman, AU Yaari, O Priebe, F Dietlein, PR Loh, B Berger Nature Biotechnology 40 (11), 1634-1643, 2022 | 27 | 2022 |
BrainBERT: Self-supervised representation learning for intracranial recordings C Wang, V Subramaniam, AU Yaari, G Kreiman, B Katz, I Cases, A Barbu arXiv preprint arXiv:2302.14367, 2023 | 7 | 2023 |
The aligned multimodal movie treebank: An audio, video, dependency-parse treebank A Yaari, J DeWitt, H Hu, B Stankovits, S Felshin, Y Berzak, H Aparicio, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 3 | 2022 |
Multi-resolution modeling of a discrete stochastic process identifies causes of cancer AU Yaari Massachusetts Institute of Technology, 2021 | 3 | 2021 |
Image interpretation by iterative bottom-up top-down processing S Ullman, L Assif, A Strugatski, BZ Vatashsky, H Levy, A Netanyahu, ... arXiv preprint arXiv:2105.05592, 2021 | 1 | 2021 |
Learning to target CDK4/6 inhibitor resistance via a breast cancer-specific atlas of cellular mechanisms A Yaari, E Farias, F Guedes, O Priebe, L McDaniel, T Earnest, T Ideker, ... Cancer Research 84 (6_Supplement), 3287-3287, 2024 | | 2024 |
Cancer-specific AI identifies multi-modal biomarkers of the therapeutic response for 1,951 drugs including TNG348, a highly selective USP1 inhibitor A Yaari, L McDaniel, A Simoneau, S Meier, O Priebe, E Farias, A Huang, ... MOLECULAR CANCER THERAPEUTICS 22 (12), 2023 | | 2023 |
Abstract C176: Cancer-specific AI identifies multi-modal biomarkers of therapeutic response for 1,951 drugs including TNG348, a highly selective USP1 inhibitor A Yaari, L McDaniel, A Simoneau, S Meier, O Priebe, E Farias, A Huang, ... Molecular Cancer Therapeutics 22 (12_Supplement), C176-C176, 2023 | | 2023 |
Human-like scene interpretation by a guided counterstream processing S Ullman, L Assif, A Strugatski, BZ Vatashsky, H Levi, A Netanyahu, ... Proceedings of the National Academy of Sciences 120 (40), e2211179120, 2023 | | 2023 |
Untangling the complexity of nature: Machine-learning for accelerated life-sciences AU Yaari Massachusetts Institute of Technology, 2023 | | 2023 |
Multi-resolution modeling of discrete stochastic processes for computationally-efficient information search and retrieval BB Leighton, MA Sherman, AU Yaari US Patent App. 17/722,793, 2022 | | 2022 |
Genome-wide Mutation Rate Modeling Identifies Novel Driver Mutations MA Sherman, AU Yaari, O Priebe, F Dietlein, PR Loh, B Berger cancer, 2022 | | 2022 |
Multi-resolution modeling of discrete stochastic processes for computationally-efficient information search and retrieval BB Leighton, MA Sherman, AU Yaari US Patent 11,308,101, 2022 | | 2022 |
Learning the mutational landscape of the cancer genome MA Sherman, A Yaari, O Priebe, F Dietlein, PR Loh, B Berger bioRxiv, 2021.08. 03.454669, 2021 | | 2021 |