| Xoring elephants: Novel erasure codes for big data M Sathiamoorthy, M Asteris, D Papailiopoulos, AG Dimakis, R Vadali, ... arXiv preprint arXiv:1301.3791, 2013 | 928 | 2013 |
| Recommending what video to watch next: a multitask ranking system Z Zhao, L Hong, L Wei, J Chen, A Nath, S Andrews, A Kumthekar, ... Proceedings of the 13th ACM conference on recommender systems, 43-51, 2019 | 394 | 2019 |
| Systems and methods for decreasing RAID rebuilding time M Sathiamoorthy, F Guo, AG Dimakis US Patent 9,594,652, 2017 | 133 | 2017 |
| Dselect-k: Differentiable selection in the mixture of experts with applications to multi-task learning H Hazimeh, Z Zhao, A Chowdhery, M Sathiamoorthy, Y Chen, ... Advances in Neural Information Processing Systems 34, 29335-29347, 2021 | 128 | 2021 |
| Spatially-localized compressed sensing and routing in multi-hop sensor networks S Lee, S Pattem, M Sathiamoorthy, B Krishnamachari, A Ortega International conference on geosensor networks, 11-20, 2009 | 113 | 2009 |
| Recommender systems with generative retrieval S Rajput, N Mehta, A Singh, R Hulikal Keshavan, T Vu, L Heldt, L Hong, ... Advances in Neural Information Processing Systems 36, 10299-10315, 2023 | 109 | 2023 |
| Do llms understand user preferences? evaluating llms on user rating prediction WC Kang, J Ni, N Mehta, M Sathiamoorthy, L Hong, E Chi, DZ Cheng arXiv preprint arXiv:2305.06474, 2023 | 95 | 2023 |
| Backpressure with adaptive redundancy (BWAR) M Alresaini, M Sathiamoorthy, B Krishnamachari, MJ Neely 2012 Proceedings IEEE INFOCOM, 2300-2308, 2012 | 79 | 2012 |
| Compressed sensing and routing in multi-hop networks S Lee, S Pattem, M Sathiamoorthy, B Krishnamachari, A Ortega University of Southern California CENG technical report, 2009 | 71 | 2009 |
| Distributed storage codes reduce latency in vehicular networks M Sathiamoorthy, AG Dimakis, B Krishnamachari, F Bai IEEE Transactions on Mobile Computing 13 (9), 2016-2027, 2013 | 55 | 2013 |
| A review of modern recommender systems using generative models (gen-recsys) Y Deldjoo, Z He, J McAuley, A Korikov, S Sanner, A Ramisa, R Vidal, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 29 | 2024 |
| Optimizing content dissemination in vehicular networks with radio heterogeneity J Ahn, M Sathiamoorthy, B Krishnamachari, F Bai, L Zhang IEEE Transactions on Mobile Computing 13 (6), 1312-1325, 2013 | 27 | 2013 |
| Lifting the curse of multidimensional data with learned existence indexes S Macke, A Beutel, T Kraska, M Sathiamoorthy, DZ Cheng, EH Chi Workshop on ML for Systems at NeurIPS 1, 6, 2018 | 24 | 2018 |
| Improving training stability for multitask ranking models in recommender systems J Tang, Y Drori, D Chang, M Sathiamoorthy, J Gilmer, L Wei, X Yi, L Hong, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 12 | 2023 |
| Chi, and Derek Zhiyuan Cheng. Do llms understand user preferences? evaluating llms on user rating prediction WC Kang, J Ni, N Mehta, M Sathiamoorthy, L Hong arXiv preprint arXiv:2305.06474, 2023 | 10 | 2023 |
| Helper node allocation strategies for content dissemination in intermittently connected mobile networks M Sathiamoorthy, KR Moghadam, B Krishnamachari, F Bai 2014 Eleventh Annual IEEE International Conference on Sensing, Communication …, 2014 | 10 | 2014 |
| Do LLMs understand user preferences WC Kang, J Ni, N Mehta, M Sathiamoorthy, L Hong, E Chi, DZ Cheng Evaluating LLMs On User Rating Prediction. CoRR abs/2305.06474, 2023 | 8 | 2023 |
| Compressed sensing and routing in sensor networks S Lee, S Pattem, M Sathiamoorthy, B Krishnamachari, A Ortega Univ. Southern California, Los Angeles, CA, USA, Tech. Rep, 2009 | 8 | 2009 |
| Aligning Large Language Models with Recommendation Knowledge Y Cao, N Mehta, X Yi, R Keshavan, L Heldt, L Hong, EH Chi, ... arXiv preprint arXiv:2404.00245, 2024 | 6 | 2024 |
| Nonlinear initialization methods for low-rank neural networks K Vodrahalli, R Shivanna, M Sathiamoorthy, S Jain, EH Chi arXiv preprint arXiv:2202.00834, 2022 | 5 | 2022 |
Ed H. ChiGoogle DeepMind / Google Brainacm.org의 이메일 확인됨