G
Gireeja Ranade
Researcher at University of California, Berkeley
Publications - 76
Citations - 1399
Gireeja Ranade is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Communication channel & Linear system. The author has an hindex of 17, co-authored 73 publications receiving 1158 citations. Previous affiliations of Gireeja Ranade include Massachusetts Institute of Technology & Microsoft.
Papers
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Proceedings ArticleDOI
ProjecToR: Agile Reconfigurable Data Center Interconnect
Monia Ghobadi,Ratul Mahajan,Amar Phanishayee,Nikhil R. Devanur,Janardhan Kulkarni,Gireeja Ranade,Pierre Alexandre Blanche,Houman Rastegarfar,Madeleine Glick,Daniel C. Kilper +9 more
TL;DR: Simulations using realistic data center workloads show that this novel, free-space optics based approach for building data center interconnects can improve mean flow completion time by 30-95% and reduce cost by 25-40%.
Journal ArticleDOI
Cortical representation of ipsilateral arm movements in monkey and man.
Karunesh Ganguly,Lavi Secundo,Gireeja Ranade,Amy L. Orsborn,Edward F. Chang,Dragan F. Dimitrov,Jonathan D. Wallis,Nicholas M. Barbaro,Rob Knight,Rob Knight,Jose M. Carmena,Jose M. Carmena +11 more
TL;DR: In two macaque monkeys trained to perform center-out reaching movements, it is found that the ensemble spiking activity in M1 could continuously represent ipsilateral limb position, and this representation was more correlated with joint angles than hand position.
Proceedings ArticleDOI
Cooperative communication for high-reliability low-latency wireless control
Vasuki Narasimha Swamy,Sahaana Suri,Paul Rigge,Matthew Weiner,Gireeja Ranade,Anant Sahai,Borivoje Nikolic +6 more
TL;DR: A novel “diversity meter” designed to measure “effective diversity” in the non-asymptotic regime is developed and can robustly achieve a system probability of error better than 10-9 with nominal SNR below 5 dB.
Journal ArticleDOI
Data-driven planning via imitation learning:
Sanjiban Choudhury,Mohak Bhardwaj,Sankalp Arora,Ashish Kapoor,Gireeja Ranade,Sebastian Scherer,Debadeepta Dey +6 more
TL;DR: A novel data-driven imitation learning framework to efficiently train planning policies by imitating a clairvoyant oracle: an oracle that at train time has full knowledge about the world map and can compute optimal decisions.
Proceedings ArticleDOI
Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election
TL;DR: An analysis of traffic to websites known for publishing fake news in the months preceding the 2016 US presidential election finds that social media was the primary outlet for the circulation of fake news stories and aggregate voting patterns were strongly correlated with the average daily fraction of users visiting websites serving fake news.