• 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 86 matches

• 2024
• 
  Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma:
  Representation Learning via Manifold Flattening and Reconstruction. J. Mach. Learn. Res. 25: 132:1-132:47 (2024)
• 
  Elangovan Ramanujam, Thinagaran Perumal, Shankar Krishnan:
  A review on fall detection systems in bathrooms: challenges and opportunities. Multim. Tools Appl. 83(29): 73477-73505 (2024)
• 
  Adithya Krishna, Ashwin Rajesh, Hitesh Pavan Oleti, Anand Chauhan, Shankaranarayanan H, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
  Live Demonstration: Real-time audio and visual inference on the RAMAN TinyML accelerator. ISCAS 2024: 1
• 
  Ramansh Sharma, Varun Shankar:
  Ensemble and Mixture-of-Experts DeepONets For Operator Learning. CoRR abs/2405.11907 (2024)
• 2023
• 
  Elangovan Ramanujam, Thinagaran Perumal, Shankar Krishnan:
  Fall Detection Systems at Night. Computer 56(6): 44-51 (2023)
• 
  Arvind Shankar Raman, K. C. Morris, Karl R. Haapala:
  Reusing and Extending Standards-Based Unit Manufacturing Process Models for Characterizing Sustainability Performance. J. Comput. Inf. Sci. Eng. 23(2) (2023)
• 
  Adithya Krishna, Hitesh Pavan Oleti, Anand Chauhan, H. Shankaranarayanan, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
  Live Demonstration: Audio Inference using Neuromorphic Cochlea on RAMAN Accelerator. BioCAS 2023: 1
• 
  Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt:
  DataComp: In search of the next generation of multimodal datasets. NeurIPS 2023
• 
  Vijitha Kannumuru, Santhosh Kannan S. P, Krithiga Shankar, Joy Larnyoh, Rohith Mahadevan, Raja C. S. P. Raman:
  Fashion-model pose recommendation and generation using Machine Learning. CoRR abs/2303.08660 (2023)
• 
  Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt:
  DataComp: In search of the next generation of multimodal datasets. CoRR abs/2304.14108 (2023)
• 
  Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma:
  Representation Learning via Manifold Flattening and Reconstruction. CoRR abs/2305.01777 (2023)
• 
  Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
  DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023)
• 2022
• 
  Ravi Shankar, T. V. Ramana, Preeti Singh, Sandeep Gupta, Haider Mehraj:
  Examination of the Non-Orthogonal Multiple Access System Using Long Short Memory Based Deep Neural Network. J. Mobile Multimedia 18(2): 451-474 (2022)
• 
  Ravi Shankar, G. V. K. Sasirekha, Chandrashekar Ramanathan, Jyotsna Bapat:
  Context Aware Site-visit Scheduling for Asset Management in Oil & Gas Sector. ICPS 2022: 1-6
• 
  Harshitha Rajashekhar, Navneet Kumar, Ajay P. Manuel, Mustafa Supur, Richard L. McCreery, Karthik Shankar:
  Raman Thermometry For Sensing Of Hot Carriers In Gold Nanoparticle-Based Bimetallic Photocatalysts. IEEE SENSORS 2022: 1-3
• 
  Ravi Shankar, G. V. K. Sasirekha, Chandrashekar Ramanathan, Jyotsna Bapat:
  Knowledge-based Digital Twin for Oil and Gas 4.0 Upstream Process: A System Prototype. IoTaIS 2022: 344-350
• 
  Ramansh Sharma, Varun Shankar:
  Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations. NeurIPS 2022
• 
  Balasubramanian Raman, Subrahmanyam Murala, Ananda S. Chowdhury, Abhinav Dhall, Puneet Goyal:
  Computer Vision and Image Processing - 6th International Conference, CVIP 2021, Rupnagar, India, December 3-5, 2021, Revised Selected Papers, Part I. Communications in Computer and Information Science 1567, Springer 2022, ISBN 978-3-031-11345-1 [contents]
• 
  Balasubramanian Raman, Subrahmanyam Murala, Ananda S. Chowdhury, Abhinav Dhall, Puneet Goyal:
  Computer Vision and Image Processing - 6th International Conference, CVIP 2021, Rupnagar, India, December 3-5, 2021, Revised Selected Papers, Part II. Communications in Computer and Information Science 1568, Springer 2022, ISBN 978-3-031-11348-2 [contents]
• 
  Ramansh Sharma, Varun Shankar:
  Accelerated Training of Physics Informed Neural Networks (PINNs) using Meshless Discretizations. CoRR abs/2205.09332 (2022)
• 2021
• 
  Sandeep Pai Kulyadi, Pavitra Mohandas, Sudesh Kumar Santhosh Kumar, M. J. Shankar Raman, V. S. Vasan:
  Anomaly Detection using Generative Adversarial Networks on Firewall Log Message Data. ECAI 2021: 1-6
• 
  Sudesh Kumar Santhosh Kumar, Sandeep Pai Kulyadi, Pavitra Mohandas, M. J. Shankar Raman, V. S. Vasan:
  Computation of Cyclomatic Complexity and Detection of Malware Executable Files. ECAI 2021: 1-5
• 
  Sanjana Ramanujam, Christian Sinnott, Bharath Shankar, Savannah Jo Halow, Brian Szekely, Paul R. MacNeilage, Kamran Binaee:
  VEDBViz: The Visual Experience Database Visualization and Interaction Tool. ETRA Adjunct 2021: 15:1-15:4
• 
  Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt:
  Do Image Classifiers Generalize Across Time? ICCV 2021: 9641-9649
• 
  K. B. Devika, Asish Bera, Venkata Ramani Shreya Yellapantula, Ardhendu Behera, Yonghuai Liu, Shankar C. Subramanian:
  Driver Distraction Recognition-driven Collision Avoidance Algorithm for Active Vehicle Safety. ITSC 2021: 237-243
• 2020
• 
  K. B. Devika, Rohith G., Venkata Ramani Shreya Yellapantula, Shankar C. Subramanian:
  A Dynamics-Based Adaptive String Stable Controller for Connected Heavy Road Vehicle Platoon Safety. IEEE Access 8: 209886-209903 (2020)
• 
  M. R. Gauthama Raman, Nivethitha Somu, Sahruday Jagarapu, Tina Manghnani, Thirumaran Selvam, Kannan Krithivasan, V. S. Shankar Sriram:
  An efficient intrusion detection technique based on support vector machine and improved binary gravitational search algorithm. Artif. Intell. Rev. 53(5): 3255-3286 (2020)
• 
  Nivethitha Somu, M. R. Gauthama Raman, Akshya Kaveri, Akshay Rahul K., Kannan Krithivasan, V. S. Shankar Sriram:
  IBGSS: An Improved Binary Gravitational Search Algorithm based search strategy for QoS and ranking prediction in cloud environments. Appl. Soft Comput. 88: 105945 (2020)
• 
  Sareena Karapoola, Prasanna Karthik Vairam, Shankar Raman, Veezhinathan Kamakoti:
  Net-Police: A network patrolling service for effective mitigation of volumetric DDoS attacks. Comput. Commun. 150: 438-454 (2020)
• 
  Thomas Feliciani, Ramanathan Moorthy, Pablo Lucas, Kalpana Shankar:
  Grade Language Heterogeneity in Simulation Models of Peer Review. J. Artif. Soc. Soc. Simul. 23(3) (2020)

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