• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 82 matches

• 2024
• 
  Adnan Hoque, Less Wright, Chih-Chieh Yang, Mudhakar Srivatsa, Raghu K. Ganti:
  Accelerating a Triton Fused Kernel for W4A16 Quantized Inference with SplitK work decomposition. CoRR abs/2402.00025 (2024)
• 
  Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Viros-i-Martin, Raghu K. Ganti, Mudhakar Srivatsa, Tarek F. Abdelzaher:
  SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. CoRR abs/2402.02275 (2024)
• 
  Adnan Hoque, Mudhakar Srivatsa, Chih-Chieh Yang, Raghu K. Ganti:
  TP-Aware Dequantization. CoRR abs/2402.04925 (2024)
• 
  Davis Wertheimer, Joshua Rosenkranz, Thomas P. Parnell, Sahil Suneja, Pavithra Ranganathan, Raghu K. Ganti, Mudhakar Srivatsa:
  Accelerating Production LLMs with Combined Token/Embedding Speculators. CoRR abs/2404.19124 (2024)
• 
  Achintya Kundu, Rhui Dih Lee, Laura Wynter, Raghu Kiran Ganti, Mayank Mishra:
  Enhancing Training Efficiency Using Packing with Flash Attention. CoRR abs/2407.09105 (2024)
• 
  Rhui Dih Lee, Laura Wynter, Raghu Kiran Ganti:
  Flexible and Effective Mixing of Large Language Models into a Mixture of Domain Experts. CoRR abs/2408.17280 (2024)
• 2023
• 
  Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Viros-i-Martin, Raghu K. Ganti, Mudhakar Srivatsa, Tarek F. Abdelzaher:
  SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. SenSys 2023: 15-27
• 
  S. Karthik Mukkavilli, Daniel Salles Civitarese, Johannes Schmude, Johannes Jakubik, Anne Jones, Nam Nguyen, Christopher Phillips, Sujit Roy, Shraddha Singh, Campbell D. Watson, Raghu K. Ganti, Hendrik F. Hamann, Udaysankar Nair, Rahul Ramachandran, Kommy Weldemariam:
  AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. CoRR abs/2309.10808 (2023)
• 
  Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran:
  Foundation Models for Generalist Geospatial Artificial Intelligence. CoRR abs/2310.18660 (2023)
• 2022
• 
  Franck Le, Mudhakar Srivatsa, Raghu K. Ganti, Vyas Sekar:
  Rethinking data-driven networking with foundation models: challenges and opportunities. HotNets 2022: 188-197
• 
  Franck Le, Mudhakar Srivatsa, Raghu K. Ganti, Vyas Sekar:
  Rethinking Data-driven Networking with Foundation Models: Challenges and Opportunities. CoRR abs/2211.06494 (2022)
• 2020
• 
  Chris Simpkin, Ian J. Taylor, Daniel Harborne, Graham A. Bent, Alun D. Preece, Raghu K. Ganti:
  Efficient orchestration of Node-RED IoT workflows using a Vector Symbolic Architecture. Future Gener. Comput. Syst. 111: 117-131 (2020)
• 
  Sebastian Stein, Mateusz Ochal, Ioana-Adriana Moisoiu, Enrico H. Gerding, Raghu K. Ganti, Ting He, Tom La Porta:
  Strategyproof Reinforcement Learning for Online Resource Allocation. AAMAS 2020: 1296-1304
• 2019
• 
  Dakshi Agrawal, Raghu K. Ganti, Jeff Jonas, Mudhakar Srivatsa:
  STB: space time boxes. CCF Trans. Pervasive Comput. Interact. 1(2): 114-124 (2019)
• 
  Kisung Lee, Ling Liu, Raghu K. Ganti, Mudhakar Srivatsa, Qi Zhang, Yang Zhou, Qingyang Wang:
  Lightweight Indexing and Querying Services for Big Spatial Data. IEEE Trans. Serv. Comput. 12(3): 343-355 (2019)
• 
  Chris Simpkin, Ian J. Taylor, Alun D. Preece, Graham A. Bent, Richard Tomsett, Raghu K. Ganti, Olwen Worthington:
  Coalition C3 Information Exchange Using Binary Symbolic Vectors. MILCOM 2019: 784-789
• 
  Pranita Dewan, Raghu K. Ganti, Mudhakar Srivatsa, Sebastian Stein:
  NN-SAR: A Neural Network Approach for Spatial AutoRegression. PerCom Workshops 2019: 783-789
• 
  Deboleena Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, Richard Tomsett, Nirmit Desai, Raghu K. Ganti, Kaushik Roy:
  Neural Networks at the Edge. SMARTCOMP 2019: 45-50
• 
  Richard Tomsett, Graham A. Bent, Christopher Simpkin, Ian J. Taylor, Daniel Harborne, Alun D. Preece, Raghu K. Ganti:
  Demonstration of Dynamic Distributed Orchestration of Node-RED IoT Workflows Using a Vector Symbolic Architecture. SMARTCOMP 2019: 464-467
• 
  Raghu K. Ganti, Xiaofan Fred Jiang, Gian Pietro Picco, Xia Zhou:
  Proceedings of the 17th Conference on Embedded Networked Sensor Systems, SenSys 2019, New York, NY, USA, November 10-13, 2019. ACM 2019, ISBN 978-1-4503-6950-3 [contents]
• 
  Nirmit Desai, Linsong Chu, Raghu K. Ganti, Sebastian Stein, Mudhakar Srivatsa:
  neuralRank: Searching and ranking ANN-based model repositories. CoRR abs/1903.00711 (2019)
• 2018
• 
  Bin Guo, Xing Xie, Raghu K. Ganti, Daqing Zhang, Zhu Wang:
  Guest editorial: special issue on mobile crowdsourcing - Preface to the special issue on mobile crowdsourcing. World Wide Web 21(3): 739-740 (2018)
• 
  ShreeRanjani SrirangamSridharan, Mudhakar Srivatsa, Raghu K. Ganti, Christopher Simpkin:
  Doc2Img: A New Approach to Vectorization of Documents. FUSION 2018: 2172-2178
• 
  Graham A. Bent, Geeth de Mel, Raghu K. Ganti, Tom La Porta, Gavin Pearson, Tien Pham, Sebastian Stein, Leandros Tassiulas, Ian J. Taylor:
  Learning Service Semantics for Self-Organization in Distributed Environments: Concepts and Research Directions. MILCOM 2018: 1080-1085
• 
  Nirmit Desai, Raghu K. Ganti, Heesung Kwon, Ian J. Taylor, Mudhakar Srivatsa:
  Unsupervised Estimation of Domain Applicability of Models. MILCOM 2018: 34-39
• 2017
• 
  Prasanna Giridhar, Md. Tanvir Al Amin, Tarek F. Abdelzaher, Dong Wang, Lance M. Kaplan, Jemin George, Raghu K. Ganti:
  ClariSense+: An enhanced traffic anomaly explanation service using social network feeds. Pervasive Mob. Comput. 41: 381-396 (2017)
• 
  Desheng Zhang, Tian He, Fan Ye, Raghu K. Ganti, Hui Lei:
  Neighbor Discovery and Rendezvous Maintenance with Extended Quorum Systems for Mobile Applications. IEEE Trans. Mob. Comput. 16(7): 1967-1980 (2017)
• 
  Antara Palit, Mudhakar Srivatsa, Raghu K. Ganti, Christopher Simpkin:
  Identifying sensor accesses from service descriptions. IEEE BigData 2017: 3006-3011
• 
  Yiran Zhao, Shuochao Yao, Shaohan Hu, Shiyu Chang, Raghu K. Ganti, Mudhakar Srivatsa, Shen Li, Tarek F. Abdelzaher:
  On the improvement of classifying EEG recordings using neural networks. IEEE BigData 2017: 1709-1711
• 
  Pranita Dewan, Raghu K. Ganti, Mudhakar Srivatsa:
  SOM-TC: Self-Organizing Map for Hierarchical Trajectory Clustering. ICDCS 2017: 1042-1052

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