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Adam Yaari
Adam Yaari
Massachusetts Institute of Technology
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Title
Cited by
Cited by
Year
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
272022
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
72023
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
32022
Multi-resolution modeling of a discrete stochastic process identifies causes of cancer
AU Yaari
Massachusetts Institute of Technology, 2021
32021
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
12021
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
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