| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2494 | 2023 |
| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 1558 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 966 | 2024 |
| Gemma 2: Improving open language models at a practical size G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ... arXiv preprint arXiv:2408.00118, 2024 | 314 | 2024 |
| Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis R Tian, A Abarientos, J Hong, SH Hashemi, R Yan, N Dräger, K Leng, ... Nature neuroscience 24 (7), 1020-1034, 2021 | 283 | 2021 |
| TicTac: Accelerating Distributed Deep Learning with Communication Scheduling SH Hashemi, SA Jyothi, RH Campbell SysML Conference 2019, 2019 | 233 | 2019 |
| World of Empowered IoT Users SH Hashemi, F Faghri, P Rausch, RH Campbell The1st IEEE International Congerence on Internet-of-Things Design and …, 2016 | 147 | 2016 |
| A CRISPRi/a platform in human iPSC-derived microglia uncovers regulators of disease states NM Dräger, SM Sattler, CTL Huang, OM Teter, K Leng, SH Hashemi, ... Nature neuroscience 25 (9), 1149-1162, 2022 | 132 | 2022 |
| Multi-modality machine learning predicting Parkinson’s disease MB Makarious, HL Leonard, D Vitale, H Iwaki, L Sargent, A Dadu, I Violich, ... npj Parkinson's Disease 8 (1), 35, 2022 | 91 | 2022 |
| Hal: Computer system for scalable deep learning V Kindratenko, D Mu, Y Zhan, J Maloney, SH Hashemi, B Rabe, K Xu, ... Practice and experience in advanced research computing, 41-48, 2020 | 88 | 2020 |
| PaLM 2 Technical Report; 2023 R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 55 | 2023 |
| Performance Modeling of Distributed Deep Neural Networks SH Hashemi, SA Noghabi, W Gropp, RH Campbell arXiv preprint arXiv:1612.00521, 2016 | 54 | 2016 |
| Identification and prediction of Parkinson’s disease subtypes and progression using machine learning in two cohorts A Dadu, V Satone, R Kaur, SH Hashemi, H Leonard, H Iwaki, ... npj Parkinson's Disease 8 (1), 172, 2022 | 47 | 2022 |
| Predicting onset, progression, and clinical subtypes of Parkinson disease using machine learning F Faghri, SH Hashemi, H Leonard, SW Scholz, RH Campbell, MA Nalls, ... bioRxiv, 338913, 2018 | 35* | 2018 |
| Gemma 2: Improving open language models at a practical size, 2024 G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ... URL https://arxiv. org/abs/2408.00118 1 (3), 2024 | 33 | 2024 |
| Decentralized user-centric access control using pubsub over blockchain SH Hashemi, F Faghri, RH Campbell arXiv preprint arXiv:1710.00110, 2017 | 27 | 2017 |
| Parallel CRISPR-Cas9 screens identify mechanisms of PLIN2 and lipid droplet regulation MA Roberts, KK Deol, AJ Mathiowetz, M Lange, DE Leto, J Stevenson, ... Developmental Cell 58 (18), 1782-1800. e10, 2023 | 24 | 2023 |
| GenoML: automated machine learning for genomics MB Makarious, HL Leonard, D Vitale, H Iwaki, D Saffo, L Sargent, A Dadu, ... arXiv preprint arXiv:2103.03221, 2021 | 17 | 2021 |
| A CRISPRi/a platform in iPSC-derived microglia uncovers regulators of disease states NM Dräger, SM Sattler, CTL Huang, OM Teter, K Leng, SH Hashemi, ... bioRxiv, 2021.06. 16.448639, 2021 | 14 | 2021 |
| Towards An Application {Objective-Aware} Network Interface SA Jyothi, SH Hashemi, R Campbell, B Godfrey 12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 20), 2020 | 12* | 2020 |
Roy H CampbellProfessor of Computer Science, University of IllinoisПодтвержден адрес электронной почты в домене illinois.edu