Ramya Raghavendra

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 23

Top Topics

Learning Models

Budget Constraints

Recursive Partitioning

Connected Regions

Top Venues

SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI

CrowdSenSys@SenSys

Publications

Carole-Jean Wu, Bilge Acun, Ramya Raghavendra, Kim M. Hazelwood
Beyond Efficiency: Scaling AI Sustainably. CoRR (2024)
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)
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)
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 Hazelwood
Sustainable AI: Environmental Implications, Challenges and Opportunities. CoRR (2021)
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)
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 (2021)
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)
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 (2020)
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)
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)
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) (2020)
Linsong Chu, Ramya Raghavendra, Mudhakar Srivatsa, Alun D. Preece, Daniel Harborne
Feature Importance Identification through Bottleneck Reconstruction. ICCC (2019)
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 (2019)
Christopher Streiffer, Ramya Raghavendra, Theophilus Benson, Mudhakar Srivatsa
Learning to Simplify Distributed Systems Management. IEEE BigData (2018)
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)
Alun D. Preece, Dan Harborne, Ramya Raghavendra, Richard Tomsett, Dave Braines
Provisioning Robust and Interpretable AI/ML-Based Service Bundles. MILCOM (2018)
Mai ElSherief, Morgan Vigil-Hayes, Ramya Raghavendra, Elizabeth M. Belding
Whom to Query?: Spatially-Blind Participatory Crowdsensing under Budget Constraints. CrowdSenSys@SenSys (2017)
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)
Christopher Streiffer, Ramya Raghavendra, Theophilus Benson, Mudhakar Srivatsa
Darnet: a deep learning solution for distracted driving detection. Middleware Industry (2017)
Arlei Silva, Ramya Raghavendra, Mudhakar Srivatsa, Ambuj K. Singh
Prediction-based Online Trajectory Compression. CoRR (2016)
Ali Munir, Ting He, Ramya Raghavendra, Franck Le, Alex X. Liu
Network Scheduling Aware Task Placement in Datacenters. CoNEXT (2016)
Ramya Raghavendra, Pranita Dewan, Mudhakar Srivatsa
Unifying HDFS and GPFS: Enabling Analytics on Software-Defined Storage. Middleware (2016)
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)
Paul Schmitt, Ramya Raghavendra, Elizabeth M. Belding
Internet Media Upload Caching for Poorly-Connected Regions. ACM DEV (2015)
Bo Zong, Ramya Raghavendra, Mudhakar Srivatsa, Xifeng Yan, Ambuj K. Singh, Kang-Won Lee
Cloud service placement via subgraph matching. ICDE (2014)
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)
Ting He, Dennis Goeckel, Ramya Raghavendra, Don Towsley
Endhost-based shortest path routing in dynamic networks: An online learning approach. INFOCOM (2013)
Ramya Raghavendra, Jorge Lobo, Kang-Won Lee
Dynamic graph query primitives for SDN-based cloudnetwork management. HotSDN@SIGCOMM (2012)
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)
Raghu K. Ganti, Iqbal Mohomed, Ramya Raghavendra, Anand Ranganathan
Analysis of Data from a Taxi Cab Participatory Sensor Network. MobiQuitous (2011)
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) (2011)
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) (2011)
Sudheer Poojary, Ramya Raghavendra, D. Manjunath
An Online, Derivative-Free Optimization Approach to Auto-tuning of Computing Systems. ICDCN (2010)
Ramya Raghavendra, Elizabeth M. Belding
Characterizing high-bandwidth real-time video traffic in residential broadband networks. WiOpt (2010)
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) (2010)
Ramya Raghavendra, Prashanth Aravinda Kumar Acharya, Elizabeth M. Belding, Kevin C. Almeroth
MeshMon: a multi-tiered framework for wireless mesh networkmonitoring. S³@MobiHoc (2009)
Ranveer Chandra, Ratul Mahajan, Thomas Moscibroda, Ramya Raghavendra, Paramvir Bahl
A case for adapting channel width in wireless networks. SIGCOMM (2008)
Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Zhikui Wang, Xiaoyun Zhu
No "power" struggles: coordinated multi-level power management for the data center. ASPLOS (2008)
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)
Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Xiaoyun Zhu, Zhikui Wang
Motivating co-ordination of power management solutions in data centers. CLUSTER (2007)
Ramya Raghavendra, Elizabeth M. Belding, Konstantina Papagiannaki, Kevin C. Almeroth
Understanding handoffs in large ieee 802.11 wireless networks. Internet Measurement Conference (2007)