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Publication search results
found 637 matches
- 2024
- Teena Arora, Venki Balasubramanian, Andrew Stranieri, Varun G. Menon:
Modified Early Warning Score (MEWS) Visualization and Pattern Matching Imputation in Remote Patient Monitoring. IEEE Access 12: 74784-74794 (2024) - Gaurav Tripathi, Vishal Krishna Singh, Varun Sharma, Majithia Vivek Vinodbhai:
Weighted Feature Selection for Machine Learning Based Accurate Intrusion Detection in Communication Networks. IEEE Access 12: 20973-20982 (2024) - Rahul Kumar Gupta, Mahipal Singh Choudhry, Varun Saxena, Sachin Taran:
A Single MOS-Memristor Emulator Circuit. Circuits Syst. Signal Process. 43(1): 54-73 (2024) - Rithwik Udayagiri, Jessica Yin, Xinyao Cai, William Townsend, Varun Trivedi, Rohan Shende, O. Francis Sowande, Laura A. Prosser, James H. Pikul, Michelle J. Johnson:
Towards an AI-driven soft toy for automatically detecting and classifying infant-toy interactions using optical force sensors. Frontiers Robotics AI 11 (2024) - Andrew Tanggara, Ranjith Nair, Syed Muhamad Assad, Varun Narasimhachar, Spyros Tserkis, Jayne Thompson, Ping Koy Lam, Mile Gu:
Quantum-optimal information encoding using noisy passive linear optics. Quantum 8: 1218 (2024) - Nikita Chelani, Shivam Tripathy, Malaram Kumhar, Jitendra Bhatia, Varun Saxena, Sudeep Tanwar, Anand Nayyar:
Federated Learning for Internet of Medical Healthcare: Issues and Challenges. Scalable Comput. Pract. Exp. 25(5): 4442-4455 (2024) - Varun Krishna, Tarun Sai, Sriram Ganapathy:
Representation Learning With Hidden Unit Clustering for Low Resource Speech Applications. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1036-1047 (2024) - Himanshu Dhumras, Prashant Kumar Shukla, Rakesh Kumar Bajaj, Wadii Boulila, Varun Shukla, Piyush Kumar Shukla, Vinodh Kumar Minchula, Sajjad Hussain Chauhdary:
Industry 5.0 Enablers in Consumer Electronics Market Assessment Under T-Spherical Fuzzy Integrated Decision-Making Approach. IEEE Trans. Consumer Electron. 70(1): 1443-1451 (2024) - Shahid Mumtaz, Muhammad Ikram Ashraf, Varun G. Menon, Taimoor Abbas, Anwer Al-Dulaimi:
Guest Editorial: Intelligent Autonomous Transportation System With 6G-Series - Part V. IEEE Trans. Intell. Transp. Syst. 25(3): 2703-2707 (2024) - Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan:
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents. ClinicalNLP@NAACL 2024: 122-161 - Shiva Kumar Tekumatla, Varun Gampa, Siavash Farzan:
Learning-Based Design of Off-Policy Gaussian Controllers: Integrating Model Predictive Control and Gaussian Process Regression. ACC 2024: 3775-3782 - Pranav Chatur, Naman Jain, Varun Trivedi, Ayush Kumar Dhoot, Sakthi Balan Muthiah:
Google Search in India: Unveiling the Geo-Personalized Web. COMAD/CODS 2024: 403-411 - Parakh Agarwal, Manu Mathew, Kunal Ranjan Patel, Varun Tripathi, Pramod Swami:
Prune Efficiently by Soft Pruning. CVPR Workshops 2024: 2210-2217 - Andreas Engelhardt, Amit Raj, Mark Boss, Yunzhi Zhang, Abhishek Kar, Yuanzhen Li, Deqing Sun, Ricardo Martin-Brualla, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani:
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild. CVPR 2024: 19636-19646 - Hanzhe Hu, Zhizhuo Zhou, Varun Jampani, Shubham Tulsiani:
MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation. CVPR 2024: 9698-9707 - Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
ZeroShape: Regression-Based Zero-Shot Shape Reconstruction. CVPR 2024: 10061-10071 - Prafull Sharma, Varun Jampani, Yuanzhen Li, Xuhui Jia, Dmitry Lagun, Frédo Durand, Bill Freeman, Mark J. Matthews:
Alchemist: Parametric Control of Material Properties with Diffusion Models. CVPR 2024: 24130-24141 - Saptarshi De Chaudhury, Likhith Reddy, Matta Varun, Tirthankar Sengupta, Sandip Chakraborty, Shamik Sural, Jaideep Vaidya, Vijayalakshmi Atluri:
Incentivized Federated Learning with Local Differential Privacy Using Permissioned Blockchains. DBSec 2024: 301-319 - Ta Ying Cheng, Prafull Sharma, Andrew Markham, Niki Trigoni, Varun Jampani:
ZeST: Zero-Shot Material Transfer from a Single Image. ECCV (1) 2024: 370-386 - Krishna Teja Chitty-Venkata, Varuni Katti Sastry, Murali Emani, Venkatram Vishwanath, Sanjif Shanmugavelu, Sylvia Howland:
WActiGrad: Structured Pruning for Efficient Finetuning and Inference of Large Language Models on AI Accelerators. Euro-Par (2) 2024: 317-331 - Gagandeep Singh, Mohammad Nadir, Rachit Thukral, Varun Gambhir, Piyush Chanana, Rohan Paul:
An Embedded AI System for Predicting and Correcting the Sensor-Orientation of an Electronic Travel Aid During Use by a Visually Impaired Person. ICCHP (1) 2024: 444-453 - Justin Presley, Xi Wang, Xusheng Ai, Tianyuan Yu, Tym Brandel, Proyash Podder, Varun Patil, Alex Afanasyev, F. Alex Feltus, Lixia Zhang, Susmit Shannigrahi:
Hydra: A Scalable Decentralized P2P Storage Federation for Large Scientific Datasets. ICNC 2024: 810-816 - Haoran Duan, Rui Sun, Varun Ojha, Tejal Shah, Zhuoxu Huang, Zizhou Ouyang, Yawen Huang, Yang Long, Rajiv Ranjan:
Dual Variational Knowledge Attention for Class Incremental Vision Transformer. IJCNN 2024: 1-8 - Murali Emani, Sam Foreman, Varuni Sastry, Zhen Xie, Siddhisanket Raskar, William Arnold, Rajeev Thakur, Venkatram Vishwanath, Michael E. Papka, Sanjif Shanmugavelu, Darshan Gandhi, Hengyu Zhao, Dun Ma, Kiran Ranganath, Rick Weisner, Jiunn-yeu Chen, Yuting Yang, Natalia Vassilieva, Bin C. Zhang, Sylvia Howland, Alexander Tsyplikhin:
Toward a Holistic Performance Evaluation of Large Language Models Across Diverse AI Accelerators. IPDPS (Workshops) 2024: 1-10 - Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, S. Sathiya Keerthi, Ajith Muralidharan:
LiMAML: Personalization of Deep Recommender Models via Meta Learning. KDD 2024: 5882-5892 - Rob Sherwood, Jinghao Shi, Ying Zhang, Neil Spring, Srikanth Sundaresan, Jasmeet Bagga, Prathyusha Peddi, Vineela Kukkadapu, Rashmi Shrivastava, Manikantan K., Pavan Patil, Srikrishna Gopu, Varun Varadan, Ethan Shi, Hany Morsy, Yuting Bu, Renjie Yang, Rasmus Jonsson, Wei Zhang, Jesus Jussepen Arredondo, Diana Saha, Sean Choi:
Netcastle: Network Infrastructure Testing At Scale. NSDI 2024 - Sagnik Ghosh, Kirti Tripathi, Ankita Garg, Dinesh Singh, Amit Prasad, Arnav Bhavsar, Varun Dutt:
Predicting Stress among Students via Psychometric Assessments and Machine Learning. PETRA 2024 - Kirti Tripathi, Srishti Swaroop, Ankush Arya, Divyansh Pandey, Arnav Bhavsar, Varun Dutt:
Exploring the Effects of Yoga on Self-Esteem and Emotional Well-Being in Stressed College Students: A Randomized Controlled Trial. PETRA 2024 - Feng Xiong, Thanet Markchom, Ziwei Zheng, Subin Jung, Varun Ojha, Huizhi Liang:
NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. SemEval@NAACL 2024: 163-169 - Prakhar Diwan, Suryakant Toraskar, Varun Venkitaraman, Nirmal Kumar Boran, Chandramani Chaudhary, Virendra Singh:
MIST: Many-ISA Scheduling Technique for Heterogeneous-ISA Architectures. VLSID 2024: 348-353
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