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- Murali Krishna Ramanathan
- Krishnamurthy S. Raman
aka: K. S. Raman 0001
National University of Singapore, Department of Information Systems and Computer Science, Singapore - Akshay Krishna Ramanathan
- Madhava Krishnan Ramanathan
Virginia Tech, VA, USA - Krishnan Ramanathan
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Publication search results
found 403 matches
- 2024
- Raman Kumar, Essam Althaqafi, S. Gopal Krishna Patro, Vladimir Simic, Atul Babbar, Dragan Pamucar, Sanjeev Kumar Singh, Amit Verma:
Machine and deep learning methods for concrete strength Prediction: A bibliometric and content analysis review of research trends and future directions. Appl. Soft Comput. 164: 111956 (2024) - Chethan Krishnamurthy Ramanaik, Anna Willmann, Juan Esteban Suarez Cardona, Pia Hanfeld, Nico Hoffmann, Michael Hecht:
Ensuring Topological Data-Structure Preservation under Autoencoder Compression Due to Latent Space Regularization in Gauss-Legendre Nodes. Axioms 13(8): 535 (2024) - Raghu Raman, Prasad Calyam, Krishnashree Achuthan:
ChatGPT or Bard: Who is a better Certified Ethical Hacker? Comput. Secur. 140: 103804 (2024) - M. Shanmugapriya, Raman Sundareswaran, S. Gopi Krishna, Madhumangal Pal:
An analysis of effect of higher order endothermic/exothermic chemical reaction on magnetized casson hybrid nanofluid flow using fuzzy triangular number. Eng. Appl. Artif. Intell. 133: 108119 (2024) - M. Shanmugapriya, Raman Sundareswaran, S. Gopi Krishna, Abdu Alameri:
Investigation of Magnetized Casson Nanofluid Flow along Wedge: Gaussian Process Regression. Int. J. Math. Math. Sci. 2024: 2880748:1-2880748:24 (2024) - Adithya Krishna, Srikanth Rohit Nudurupati, Chandana D. G, Pritesh Dwivedi, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
RAMAN: A Reconfigurable and Sparse tinyML Accelerator for Inference on Edge. IEEE Internet Things J. 11(14): 24831-24845 (2024) - Ikenna Okafor, Akshay Krishna Ramanathan, Nagadastagiri Challapalle, Zheyu Li, Vijaykrishnan Narayanan:
Fusing In-storage and Near-storage Acceleration of Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 20(1): 1:1-1:22 (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) - Titus H. Klinge, James I. Lathrop, Sonia Moreno, Hugh D. Potter, Narun K. Raman, Matthew R. Riley:
ALCH: An imperative language for chemical reaction network-controlled tile assembly. Nat. Comput. 23(2): 365-385 (2024) - Anushka Joshi, Balasubramanian Raman, C. Krishna Mohan:
An integrated approach for prediction of magnitude using deep learning techniques. Neural Comput. Appl. 36(27): 16991-17006 (2024) - Ameya Ketkar, Daniel Ramos, Lazaro Clapp, Raj Barik, Murali Krishna Ramanathan:
A Lightweight Polyglot Code Transformation Language. Proc. ACM Program. Lang. 8(PLDI): 1288-1312 (2024) - Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray:
Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM. Proc. ACM Softw. Eng. 1(FSE): 951-971 (2024) - Fabrício B. Carvalho, Ronaldo A. Ferreira, Ítalo Cunha, Marcos A. M. Vieira, Murali Krishna Ramanathan:
State Disaggregation for Dynamic Scaling of Network Functions. IEEE/ACM Trans. Netw. 32(1): 81-95 (2024) - Taylor Lundy, Narun K. Raman, Hu Fu, Kevin Leyton-Brown:
Pay to (Not) Play: Monetizing Impatience in Mobile Games. AAAI 2024: 9856-9864 - Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. LREC/COLING 2024: 3433-3445 - Nikhil Varma Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian Scherer, Deva Ramanan, Jonathon Luiten:
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM. CVPR 2024: 21357-21366 - Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, Xiaofei Ma:
Repoformer: Selective Retrieval for Repository-Level Code Completion. ICML 2024 - Narun Krishnamurthi Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz:
STEER: Assessing the Economic Rationality of Large Language Models. ICML 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 - Ye Xing, Jun Huan, Wee Hyong Tok, Cong Shen, Johannes Gehrke, Katherine Lin, Arjun Guha, Omer Tripp, Murali Krishna Ramanathan:
NL2Code-Reasoning and Planning with LLMs for Code Development. KDD 2024: 6745-6746 - Hao Yin, Murali Ramanujam, Joe Schaefer, Stan Adermann, Srihari Narlanka, Perry Lea, Ravi Netravali, Krishna Chintalapudi:
ADR-X: ANN-Assisted Wireless Link Rate Adaptation for Compute-Constrained Embedded Gaming Devices. NSDI 2024 - Prajwal Singh, Dwip Dalal, Gautam Vashishtha, Krishna P. Miyapuram, Shanmuganathan Raman:
Learning Robust Deep Visual Representations from EEG Brain Recordings. WACV 2024: 7538-7547 - Karthik Krishna, Ramana Bandili:
EchoSwift: An Inference Benchmarking and Configuration Discovery Tool for Large Language Models (LLMs). ICPE (Companion) 2024: 158-162 - Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray:
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM. CoRR abs/2402.00097 (2024) - Narun K. Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz:
Rationality Report Cards: Assessing the Economic Rationality of Large Language Models. CoRR abs/2402.09552 (2024) - Gautam Rajendrakumar Gare, Tom Fox, Beam Chansangavej, Amita Krishnan, Ricardo Luis Rodriguez, Bennett P. deBoisblanc, Deva Kannan Ramanan, John Michael Galeotti:
Improving Model's Interpretability and Reliability using Biomarkers. CoRR abs/2402.12394 (2024) - Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, Xiaofei Ma:
Repoformer: Selective Retrieval for Repository-Level Code Completion. CoRR abs/2403.10059 (2024) - Shivam Singh, Karthik Swaminathan, Raghav Arora, Ramandeep Singh, Ahana Datta, Dipanjan Das, Snehasis Banerjee, Mohan Sridharan, K. Madhava Krishna:
Anticipate & Collab: Data-driven Task Anticipation and Knowledge-driven Planning for Human-robot Collaboration. CoRR abs/2404.03587 (2024) - Yuhao Zhang, Shiqi Wang, Haifeng Qian, Zijian Wang, Mingyue Shang, Linbo Liu, Sanjay Krishna Gouda, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras:
CodeFort: Robust Training for Code Generation Models. CoRR abs/2405.01567 (2024) - Scott Geng, Cheng-Yu Hsieh, Vivek Ramanujan, Matthew Wallingford, Chun-Liang Li, Pang Wei Koh, Ranjay Krishna:
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better. CoRR abs/2406.05184 (2024)
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