Ramya Raghavendra

According to our database, Ramya Raghavendra authored at least 39 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Sustainable AI: Environmental Implications, Challenges and Opportunities.

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

Proceedings of Machine Learning and Systems 2022, 2022

AI Explainability 360: Impact and Design.

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Sustainable AI: Environmental Implications, Challenges and Opportunities.

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

CoRR, 2021

AI Explainability 360 Toolkit.

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

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies.

Celia Cintas, Victor Akinwande, Ramya Raghavendra, Girmaw Abebe Tadesse, Aisha Walcott, Charity Wayua, Fredrick Makumbi, Rhoda Wanyenze, Komminist Weldemariam

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Network Scheduling and Compute Resource Aware Task Placement in Datacenters.

Ali Munir, Ting He, Ramya Raghavendra, Franck Le, Alex X. Liu

IEEE/ACM Trans. Netw., 2020

AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models.

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

J. Mach. Learn. Res., 2020

Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation.

Celia Cintas, Ramya Raghavendra, Victor Akinwande, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

AI explainability 360: hands-on tutorial.

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

Proceedings of the FAT* '20: Conference on Fairness, 2020

2019

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques.

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

CoRR, 2019

Feature Importance Identification through Bottleneck Reconstruction.

Linsong Chu, Ramya Raghavendra, Mudhakar Srivatsa, Alun D. Preece, Daniel Harborne

Proceedings of the 2019 IEEE International Conference on Cognitive Computing, 2019

2018

Provisioning Robust and Interpretable AI/ML-Based Service Bundles.

Alun D. Preece, Dan Harborne, Ramya Raghavendra, Richard Tomsett, Dave Braines

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis.

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

Proceedings of the 21st International Conference on Information Fusion, 2018

Learning to Simplify Distributed Systems Management.

Christopher Streiffer, Ramya Raghavendra, Theophilus Benson, Mudhakar Srivatsa

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Interpretability of deep learning models: A survey of results.

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

Proceedings of the 2017 IEEE SmartWorld, 2017

Whom to Query?: Spatially-Blind Participatory Crowdsensing under Budget Constraints.

Mai ElSherief, Morgan Vigil-Hayes, Ramya Raghavendra, Elizabeth M. Belding

Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and Applications, 2017

Darnet: a deep learning solution for distracted driving detection.

Christopher Streiffer, Ramya Raghavendra, Theophilus Benson, Mudhakar Srivatsa

Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference: Industrial Track, Las Vegas, NV, USA, December 11, 2017

2016

Prediction-based Online Trajectory Compression.

Arlei Silva, Ramya Raghavendra, Mudhakar Srivatsa, Ambuj K. Singh

CoRR, 2016

Removing TCP congestion control on the last hop in split TCP environments.

Franck Le, Starsky H. Y. Wong, Ramya Raghavendra, Vasileios Pappas, Erich M. Nahum

Proceedings of the 14th International Symposium on Modeling and Optimization in Mobile, 2016

Unifying HDFS and GPFS: Enabling Analytics on Software-Defined Storage.

Ramya Raghavendra, Pranita Dewan, Mudhakar Srivatsa

Proceedings of the 17th International Middleware Conference, Trento, Italy, December 12, 2016

Network Scheduling Aware Task Placement in Datacenters.

Ali Munir, Ting He, Ramya Raghavendra, Franck Le, Alex X. Liu

Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies, 2016

2015

Internet Media Upload Caching for Poorly-Connected Regions.

Paul Schmitt, Ramya Raghavendra, Elizabeth M. Belding

Proceedings of the 2015 Annual Symposium on Computing for Development, 2015

2014

Cloud service placement via subgraph matching.

Bo Zong, Ramya Raghavendra, Mudhakar Srivatsa, Xifeng Yan, Ambuj K. Singh, Kang-Won Lee

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013

X-WING: A high-speed wireless broadcasting framework for IEEE 802.11 networks.

Starsky H. Y. Wong, Ramya Raghavendra, Yang Song, Kang-Won Lee

Proceedings of the 10th Annual IEEE International Conference on Sensing, 2013

Endhost-based shortest path routing in dynamic networks: An online learning approach.

Ting He, Dennis Goeckel, Ramya Raghavendra, Don Towsley

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

2012

Dynamic graph query primitives for SDN-based cloudnetwork management.

Ramya Raghavendra, Jorge Lobo, Kang-Won Lee

Proceedings of the first workshop on Hot topics in software defined networks, 2012

An information-centric architecture for data center networks.

Bong Jun Ko, Vasileios Pappas, Ramya Raghavendra, Yang Song, Raheleh B. Dilmaghani, Kang-Won Lee, Dinesh C. Verma

Proceedings of the ICN'12, 2012

2011

MeshMon: a multi-tiered framework for wireless mesh network monitoring.

Ramya Raghavendra, Prashanth Aravinda Kumar Acharya, Elizabeth M. Belding, Kevin C. Almeroth

Wirel. Commun. Mob. Comput., 2011

IdleChat: enabling high bandwidth real-time applications in residential broadband networks.

Ramya Raghavendra, Michael Kaminsky, Konstantina Papagiannaki, Srinivasan Seshan, Elizabeth M. Belding

ACM SIGMOBILE Mob. Comput. Commun. Rev., 2011

Analysis of Data from a Taxi Cab Participatory Sensor Network.

Raghu K. Ganti, Iqbal Mohomed, Ramya Raghavendra, Anand Ranganathan

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2011

2010

Unwanted Link Layer Traffic in Large IEEE 802.11 Wireless Networks.

Ramya Raghavendra, Elizabeth M. Belding, Konstantina Papagiannaki, Kevin C. Almeroth

IEEE Trans. Mob. Comput., 2010

Characterizing high-bandwidth real-time video traffic in residential broadband networks.

Ramya Raghavendra, Elizabeth M. Belding

Proceedings of the 8th International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt 2010), May 31, 2010

An Online, Derivative-Free Optimization Approach to Auto-tuning of Computing Systems.

Sudheer Poojary, Ramya Raghavendra, D. Manjunath

Proceedings of the Distributed Computing and Networking, 11th International Conference, 2010

2009

MeshMon: a multi-tiered framework for wireless mesh networkmonitoring.

Ramya Raghavendra, Prashanth Aravinda Kumar Acharya, Elizabeth M. Belding, Kevin C. Almeroth

Proceedings of the 2009 MobiHoc S³ workshop on MobiHoc S³, 2009

2008

A case for adapting channel width in wireless networks.

Ranveer Chandra, Ratul Mahajan, Thomas Moscibroda, Ramya Raghavendra, Paramvir Bahl

Proceedings of the ACM SIGCOMM 2008 Conference on Applications, 2008

Eat All You Can in an All-you-can-eat Buffet: A Case for Aggressive Resource Usage.

Ratul Mahajan, Jitu Padhye, Ramya Raghavendra, Brian Zill

Proceedings of the 7th ACM Workshop on Hot Topics in Networks, 2008

No "power" struggles: coordinated multi-level power management for the data center.

Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Zhikui Wang, Xiaoyun Zhu

Proceedings of the 13th International Conference on Architectural Support for Programming Languages and Operating Systems, 2008

2007

Understanding handoffs in large ieee 802.11 wireless networks.

Ramya Raghavendra, Elizabeth M. Belding, Konstantina Papagiannaki, Kevin C. Almeroth

Proceedings of the 7th ACM SIGCOMM Internet Measurement Conference, 2007

Motivating co-ordination of power management solutions in data centers.

Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Xiaoyun Zhu, Zhikui Wang

Proceedings of the 2007 IEEE International Conference on Cluster Computing, 2007