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Maheswaran (Mahesh) Sathiamoorthy
Maheswaran (Mahesh) Sathiamoorthy
Google DeepMind
Zweryfikowany adres z google.com - Strona główna
Tytuł
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Cytowane przez
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Xoring elephants: Novel erasure codes for big data
M Sathiamoorthy, M Asteris, D Papailiopoulos, AG Dimakis, R Vadali, ...
arXiv preprint arXiv:1301.3791, 2013
9152013
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
3562019
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
1122009
Systems and methods for decreasing RAID rebuilding time
M Sathiamoorthy, F Guo, AG Dimakis
US Patent 9,594,652, 2017
1012017
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
992021
Backpressure with adaptive redundancy (BWAR)
M Alresaini, M Sathiamoorthy, B Krishnamachari, MJ Neely
2012 Proceedings IEEE INFOCOM, 2300-2308, 2012
812012
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
722009
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
662023
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
532013
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, 2024
432024
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
272013
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
232018
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
102014
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
82009
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
72023
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
62023
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
62023
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, ...
arXiv preprint arXiv:2404.00579, 2024
42024
Nonlinear initialization methods for low-rank neural networks
K Vodrahalli, R Shivanna, M Sathiamoorthy, S Jain, EH Chi
arXiv preprint arXiv:2202.00834, 2022
32022
Opportunities and challenges of machine learning accelerators in production
R Ananthanarayanan, P Brandt, M Joshi, M Sathiamoorthy
2019 USENIX Conference on Operational Machine Learning (OpML 19), 1-3, 2019
32019
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