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2020 – today
- 2024
[j6]Carole-Jean Wu, Bilge Acun, Ramya Raghavendra, Kim M. Hazelwood:
Beyond Efficiency: Scaling AI Sustainably. IEEE Micro 44(5): 37-46 (2024)- [i5]Carole-Jean Wu, Bilge Acun, Ramya Raghavendra, Kim M. Hazelwood:
Beyond Efficiency: Scaling AI Sustainably. CoRR abs/2406.05303 (2024) - 2022
- [c31]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam
, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: Impact and Design. AAAI 2022: 12651-12657 - [c30]Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, Jinshi Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood:
Sustainable AI: Environmental Implications, Challenges and Opportunities. MLSys 2022 - 2021
- [c29]Celia Cintas, Victor Akinwande, Ramya Raghavendra, Girmaw Abebe Tadesse, Aisha Walcott, Charity Wayua, Fredrick Makumbi, Rhoda Wanyenze, Komminist Weldemariam:
Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies. AMIA 2021 - [c28]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360 Toolkit. COMAD/CODS 2021: 376-379 - [i4]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: Impact and Design. CoRR abs/2109.12151 (2021) - [i3]Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, James Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood:
Sustainable AI: Environmental Implications, Challenges and Opportunities. CoRR abs/2111.00364 (2021) - 2020
- [j5]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. J. Mach. Learn. Res. 21: 130:1-130:6 (2020) - [j4]Ali Munir, Ting He, Ramya Raghavendra, Franck Le, Alex X. Liu:
Network Scheduling and Compute Resource Aware Task Placement in Datacenters. IEEE/ACM Trans. Netw. 28(6): 2435-2448 (2020) - [c27]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI explainability 360: hands-on tutorial. FAT* 2020: 696 - [c26]Celia Cintas, Ramya Raghavendra, Victor Akinwande, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam:
Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation. IJCAI 2020: 5288-5290
2010 – 2019
- 2019
- [c25]Linsong Chu, Ramya Raghavendra, Mudhakar Srivatsa, Alun D. Preece, Daniel Harborne:
Feature Importance Identification through Bottleneck Reconstruction. ICCC 2019: 64-66 - [i2]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. CoRR abs/1909.03012 (2019) - 2018
- [c24]Christopher Streiffer, Ramya Raghavendra, Theophilus Benson, Mudhakar Srivatsa:
Learning to Simplify Distributed Systems Management. IEEE BigData 2018: 1837-1845 - [c23]Federico Cerutti, Moustafa Alzantot, Tianwei Xing, Daniel Harborne, Jonathan Z. Bakdash, Dave Braines, Supriyo Chakraborty, Lance M. Kaplan, Angelika Kimmig, Alun D. Preece, Ramya Raghavendra, Murat Sensoy, Mani B. Srivastava:
Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis. FUSION 2018: 1-8 - [c22]Alun D. Preece, Dan Harborne, Ramya Raghavendra, Richard Tomsett, Dave Braines:
Provisioning Robust and Interpretable AI/ML-Based Service Bundles. MILCOM 2018: 1-9 - 2017
- [c21]Christopher Streiffer, Ramya Raghavendra, Theophilus Benson, Mudhakar Srivatsa:
Darnet: a deep learning solution for distracted driving detection. Middleware Industry 2017: 22-28 - [c20]Mai ElSherief, Morgan Vigil-Hayes, Ramya Raghavendra, Elizabeth M. Belding:
Whom to Query?: Spatially-Blind Participatory Crowdsensing under Budget Constraints. CrowdSenSys@SenSys 2017: 31-37 - [c19]Supriyo Chakraborty, Richard Tomsett, Ramya Raghavendra, Daniel Harborne, Moustafa Alzantot, Federico Cerutti, Mani B. Srivastava, Alun D. Preece, Simon Julier, Raghuveer M. Rao, Troy D. Kelley, Dave Braines, Murat Sensoy, Christopher J. Willis, Prudhvi Gurram:
Interpretability of deep learning models: A survey of results. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - 2016
- [c18]Ali Munir, Ting He, Ramya Raghavendra, Franck Le, Alex X. Liu:
Network Scheduling Aware Task Placement in Datacenters. CoNEXT 2016: 221-235 - [c17]Ramya Raghavendra, Pranita Dewan, Mudhakar Srivatsa:
Unifying HDFS and GPFS: Enabling Analytics on Software-Defined Storage. Middleware 2016: 3 - [c16]Franck Le, Starsky H. Y. Wong, Ramya Raghavendra, Vasileios Pappas, Erich M. Nahum:
Removing TCP congestion control on the last hop in split TCP environments. WiOpt 2016: 92-99 - [i1]Arlei Silva, Ramya Raghavendra, Mudhakar Srivatsa, Ambuj K. Singh:
Prediction-based Online Trajectory Compression. CoRR abs/1601.06316 (2016) - 2015
- [c15]Paul Schmitt, Ramya Raghavendra, Elizabeth M. Belding:
Internet Media Upload Caching for Poorly-Connected Regions. ACM DEV 2015: 41-49 - 2014
- [c14]Bo Zong, Ramya Raghavendra, Mudhakar Srivatsa, Xifeng Yan, Ambuj K. Singh, Kang-Won Lee:
Cloud service placement via subgraph matching. ICDE 2014: 832-843 - 2013
- [c13]Ting He, Dennis Goeckel, Ramya Raghavendra, Don Towsley:
Endhost-based shortest path routing in dynamic networks: An online learning approach. INFOCOM 2013: 2202-2210 - [c12]Starsky H. Y. Wong, Ramya Raghavendra, Yang Song, Kang-Won Lee:
X-WING: A high-speed wireless broadcasting framework for IEEE 802.11 networks. SECON 2013: 344-352 - 2012
- [c11]Bong Jun Ko, Vasileios Pappas, Ramya Raghavendra, Yang Song, Raheleh B. Dilmaghani, Kang-Won Lee, Dinesh C. Verma:
An information-centric architecture for data center networks. ICN 2012: 79-84 - [c10]Ramya Raghavendra, Jorge Lobo, Kang-Won Lee:
Dynamic graph query primitives for SDN-based cloudnetwork management. HotSDN@SIGCOMM 2012: 97-102 - 2011
- [j3]Ramya Raghavendra, Michael Kaminsky, Konstantina Papagiannaki, Srinivasan Seshan, Elizabeth M. Belding:
IdleChat: enabling high bandwidth real-time applications in residential broadband networks. ACM SIGMOBILE Mob. Comput. Commun. Rev. 15(3): 10-22 (2011) - [j2]Ramya Raghavendra, Prashanth Aravinda Kumar Acharya, Elizabeth M. Belding, Kevin C. Almeroth:
MeshMon: a multi-tiered framework for wireless mesh network monitoring. Wirel. Commun. Mob. Comput. 11(8): 1182-1196 (2011) - [c9]Raghu K. Ganti, Iqbal Mohomed, Ramya Raghavendra, Anand Ranganathan:
Analysis of Data from a Taxi Cab Participatory Sensor Network. MobiQuitous 2011: 197-208 - 2010
- [j1]Ramya Raghavendra, Elizabeth M. Belding, Konstantina Papagiannaki, Kevin C. Almeroth:
Unwanted Link Layer Traffic in Large IEEE 802.11 Wireless Networks. IEEE Trans. Mob. Comput. 9(9): 1212-1225 (2010) - [c8]Sudheer Poojary, Ramya Raghavendra, D. Manjunath:
An Online, Derivative-Free Optimization Approach to Auto-tuning of Computing Systems. ICDCN 2010: 434-445 - [c7]Ramya Raghavendra, Elizabeth M. Belding:
Characterizing high-bandwidth real-time video traffic in residential broadband networks. WiOpt 2010: 597-602
2000 – 2009
- 2009
- [c6]Ramya Raghavendra, Prashanth Aravinda Kumar Acharya, Elizabeth M. Belding, Kevin C. Almeroth:
MeshMon: a multi-tiered framework for wireless mesh networkmonitoring. S³@MobiHoc 2009: 45-48 - 2008
- [c5]Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Zhikui Wang, Xiaoyun Zhu:
No "power" struggles: coordinated multi-level power management for the data center. ASPLOS 2008: 48-59 - [c4]Ratul Mahajan, Jitu Padhye, Ramya Raghavendra, Brian Zill:
Eat All You Can in an All-you-can-eat Buffet: A Case for Aggressive Resource Usage. HotNets 2008: 43-48 - [c3]Ranveer Chandra, Ratul Mahajan, Thomas Moscibroda, Ramya Raghavendra, Paramvir Bahl:
A case for adapting channel width in wireless networks. SIGCOMM 2008: 135-146 - 2007
- [c2]Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Xiaoyun Zhu, Zhikui Wang:
Motivating co-ordination of power management solutions in data centers. CLUSTER 2007: 473 - [c1]Ramya Raghavendra, Elizabeth M. Belding, Konstantina Papagiannaki, Kevin C. Almeroth:
Understanding handoffs in large ieee 802.11 wireless networks. Internet Measurement Conference 2007: 333-338
Coauthor Index
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last updated on 2024-11-08 21:30 CET by the dblp team
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