Ramya Raghavendra

46 papers A* 7A 3B 3C 4Misc 3Journal 14Unranked 12
YearRankTypeTitle / Venue / Authors
2025 A* conf
Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls.
EMNLP
Feiyang Kang, Newsha Ardalani, Michael Kuchnik, Youssef Emad, Mostafa Elhoushi, Shubhabrata Sengupta, Shang-wen Li, Ramya Raghavendra, Ruoxi Jia, Carole-Jean Wu
2025 J jnl
Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls.
CoRR
Feiyang Kang, Newsha Ardalani, Michael Kuchnik, Youssef Emad, Mostafa Elhoushi, Shubhabrata Sengupta, Shang-wen Li, Ramya Raghavendra, Ruoxi Jia, Carole-Jean Wu
2025 J jnl
Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework.
CoRR
Dong Wang, Yang Li, Ansong Ni, Ching-Feng Yeh, Youssef Emad, Xinjie Lei, Liam Robbins, Karthik Padthe, Hu Xu, Xian Li, Asli Celikyilmaz, Ramya Raghavendra, Lifei Huang, Carole-Jean Wu, Shang-wen Li
2025 J jnl
Meta CLIP 2: A Worldwide Scaling Recipe.
CoRR
Yung-Sung Chuang, Yang Li, Dong Wang, Ching-Feng Yeh, Kehan Lyu, Ramya Raghavendra, James Glass, Lifei Huang, Jason Weston, Luke Zettlemoyer, Xinlei Chen, Zhuang Liu, Saining Xie, Wen-tau Yih, Shang-wen Li, Hu Xu
2024 J jnl
Beyond Efficiency: Scaling AI Sustainably.
CoRR
Carole-Jean Wu, Bilge Acun, Ramya Raghavendra, Kim M. Hazelwood
2024 J jnl
Beyond Efficiency: Scaling AI Sustainably.
IEEE Micro
Carole-Jean Wu, Bilge Acun, Ramya Raghavendra, Kim M. Hazelwood
2022 A* conf
AI Explainability 360: Impact and Design.
AAAI
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
2022 — conf
Sustainable AI: Environmental Implications, Challenges and Opportunities.
MLSys
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 C. Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood
2021 — conf
AI Explainability 360 Toolkit.
COMAD/CODS
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
2021 J jnl
AI Explainability 360: Impact and Design.
CoRR
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
2021 Misc conf
Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies.
AMIA
Celia Cintas, Victor Akinwande, Ramya Raghavendra, Girmaw Abebe Tadesse, Aisha Walcott, Charity Wayua, Fredrick Makumbi, Rhoda Wanyenze, Komminist Weldemariam
2021 J jnl
Sustainable AI: Environmental Implications, Challenges and Opportunities.
CoRR
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 C. Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood
2020 J jnl
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models.
J. Mach. Learn. Res.
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
2020 — conf
AI explainability 360: hands-on tutorial.
FAT*
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
2020 A* conf
Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation.
IJCAI
Celia Cintas, Ramya Raghavendra, Victor Akinwande, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam
2020 J jnl
Network Scheduling and Compute Resource Aware Task Placement in Datacenters.
IEEE/ACM Trans. Netw.
Ali Munir, Ting He, Ramya Raghavendra, Franck Le, Alex X. Liu
2019 C conf
Feature Importance Identification through Bottleneck Reconstruction.
ICCC
Linsong Chu, Ramya Raghavendra, Mudhakar Srivatsa, Alun D. Preece, Daniel Harborne
2019 J jnl
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques.
CoRR
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
2018 C conf
Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis.
FUSION
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
2018 — conf
Learning to Simplify Distributed Systems Management.
IEEE BigData
Christopher Streiffer, Ramya Raghavendra, Theophilus Benson, Mudhakar Srivatsa
2018 — conf
Provisioning Robust and Interpretable AI/ML-Based Service Bundles.
MILCOM
Alun D. Preece, Dan Harborne, Ramya Raghavendra, Richard Tomsett, Dave Braines
2017 — conf
Darnet: a deep learning solution for distracted driving detection.
Middleware Industry
Christopher Streiffer, Ramya Raghavendra, Theophilus Benson, Mudhakar Srivatsa
2017 — conf
Interpretability of deep learning models: A survey of results.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
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
2017 — conf
Whom to Query?: Spatially-Blind Participatory Crowdsensing under Budget Constraints.
CrowdSenSys@SenSys
Mai ElSherief, Morgan Vigil-Hayes, Ramya Raghavendra, Elizabeth M. Belding
2016 A conf
Network Scheduling Aware Task Placement in Datacenters.
CoNEXT
Ali Munir, Ting He, Ramya Raghavendra, Franck Le, Alex X. Liu
2016 J jnl
Prediction-based Online Trajectory Compression.
CoRR
Arlei Silva, Ramya Raghavendra, Mudhakar Srivatsa, Ambuj K. Singh
2016 B conf
Removing TCP congestion control on the last hop in split TCP environments.
WiOpt
Franck Le, Starsky H. Y. Wong, Ramya Raghavendra, Vasileios Pappas, Erich M. Nahum
2016 A conf
Unifying HDFS and GPFS: Enabling Analytics on Software-Defined Storage.
Middleware
Ramya Raghavendra, Pranita Dewan, Mudhakar Srivatsa
2015 — conf
Internet Media Upload Caching for Poorly-Connected Regions.
ACM DEV
Paul Schmitt, Ramya Raghavendra, Elizabeth M. Belding
2014 A* conf
Cloud service placement via subgraph matching.
ICDE
Bo Zong, Ramya Raghavendra, Mudhakar Srivatsa, Xifeng Yan, Ambuj K. Singh, Kang-Won Lee
2013 A* conf
Endhost-based shortest path routing in dynamic networks: An online learning approach.
INFOCOM
Ting He, Dennis Goeckel, Ramya Raghavendra, Don Towsley
2013 B conf
X-WING: A high-speed wireless broadcasting framework for IEEE 802.11 networks.
SECON
Starsky H. Y. Wong, Ramya Raghavendra, Yang Song, Kang-Won Lee
2012 — conf
An information-centric architecture for data center networks.
ICN
Bong Jun Ko, Vasileios Pappas, Ramya Raghavendra, Yang Song, Raheleh B. Dilmaghani, Kang-Won Lee, Dinesh C. Verma
2012 — conf
Dynamic graph query primitives for SDN-based cloudnetwork management.
HotSDN@SIGCOMM
Ramya Raghavendra, Jorge Lobo, Kang-Won Lee
2011 C conf
Analysis of Data from a Taxi Cab Participatory Sensor Network.
MobiQuitous
Raghu K. Ganti, Iqbal Mohomed, Ramya Raghavendra, Anand Ranganathan
2011 J jnl
IdleChat: enabling high bandwidth real-time applications in residential broadband networks.
ACM SIGMOBILE Mob. Comput. Commun. Rev.
Ramya Raghavendra, Michael Kaminsky, Konstantina Papagiannaki, Srinivasan Seshan, Elizabeth M. Belding
2011 J jnl
MeshMon: a multi-tiered framework for wireless mesh network monitoring.
Wirel. Commun. Mob. Comput.
Ramya Raghavendra, Prashanth Aravinda Kumar Acharya, Elizabeth M. Belding, Kevin C. Almeroth
2010 Misc conf
An Online, Derivative-Free Optimization Approach to Auto-tuning of Computing Systems.
ICDCN
Sudheer Poojary, Ramya Raghavendra, D. Manjunath
2010 B conf
Characterizing high-bandwidth real-time video traffic in residential broadband networks.
WiOpt
Ramya Raghavendra, Elizabeth M. Belding
2010 J jnl
Unwanted Link Layer Traffic in Large IEEE 802.11 Wireless Networks.
IEEE Trans. Mob. Comput.
Ramya Raghavendra, Elizabeth M. Belding, Konstantina Papagiannaki, Kevin C. Almeroth
2009 — conf
MeshMon: a multi-tiered framework for wireless mesh networkmonitoring.
S³@MobiHoc
Ramya Raghavendra, Prashanth Aravinda Kumar Acharya, Elizabeth M. Belding, Kevin C. Almeroth
2008 A* conf
A case for adapting channel width in wireless networks.
SIGCOMM
Ranveer Chandra, Ratul Mahajan, Thomas Moscibroda, Ramya Raghavendra, Paramvir Bahl
2008 Misc conf
Eat All You Can in an All-you-can-eat Buffet: A Case for Aggressive Resource Usage.
HotNets
Ratul Mahajan, Jitu Padhye, Ramya Raghavendra, Brian Zill
2008 A* conf
No "power" struggles: coordinated multi-level power management for the data center.
ASPLOS
Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Zhikui Wang, Xiaoyun Zhu
2007 C conf
Motivating co-ordination of power management solutions in data centers.
CLUSTER
Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Xiaoyun Zhu, Zhikui Wang
2007 A conf
Understanding handoffs in large ieee 802.11 wireless networks.
Internet Measurement Conference
Ramya Raghavendra, Elizabeth M. Belding, Konstantina Papagiannaki, Kevin C. Almeroth