- Amin Firoozshahian, Joel Coburn, Roman Levenstein, Rakesh Nattoji, Ashwin Kamath, Olívia Wu, Gurdeepak Grewal, Harish Aepala, Bhasker Jakka, Bob Dreyer, Adam Hutchin, Utku Diril, Krishnakumar Nair, Ehsan K. Ardestani, Martin Schatz, Yuchen Hao, Rakesh Komuravelli, Kunming Ho, Sameer Abu Asal, Joe Shajrawi, Kevin Quinn, Nagesh Sreedhara, Pankaj Kansal, Willie Wei, Dheepak Jayaraman, Linda Cheng, Pritam Chopda, Eric Wang, Ajay Bikumandla, Arun Karthik Sengottuvel, Krishna Thottempudi, Ashwin Narasimha, Brian Dodds, Cao Gao, Jiyuan Zhang, Mohammed Al-Sanabani, Ana Zehtabioskuie, Jordan Fix, Hangchen Yu, Richard Li, Kaustubh Gondkar, Jack Montgomery, Mike Tsai, Saritha Dwarakapuram, Sanjay Desai, Nili Avidan, Poorvaja Ramani, Karthik Narayanan, Ajit Mathews, Sethu Gopal, Maxim Naumov, Vijay Rao, Krishna Noru, Harikrishna Reddy, Prahlad Venkatapuram, Alexis Bjorlin:
MTIA: First Generation Silicon Targeting Meta's Recommendation Systems. ISCA 2023: 80:1-80:13 - Seifedine Kadry, Mohammed Azmi Al-Betar, Sahar Yassine, Ramya Mohan, Rama Arunmozhi, Venkatesan Rajinikanth:
Automatic Detection of Waterbodies from Satellite Images Using DeepLabV3+. MIKE 2023: 78-86 - Seifedine Kadry, Mohammed Azmi Al-Betar, Sahar Yassine, Ramya Mohan, Rama Arunmozhi, Venkatesan Rajinikanth:
Efficient Chest X-Ray Investigation Using Firefly Algorithm Optimized Deep and Handcrafted Features. MIKE 2023: 225-236 - Zili Meng, Tingfeng Wang, Yixin Shen, Bo Wang, Mingwei Xu, Rui Han, Honghao Liu, Venkat Arun, Hongxin Hu, Xue Wei:
Enabling High Quality Real-Time Communications with Adaptive Frame-Rate. NSDI 2023: 1429-1450 - Rhithick Murali, Vivek Arunachalam, S. Jeevanantham, C. Venkatesan, Rebekka B.:
Lightweight Certificate-less Digital Signature Scheme for WSNs. PKIA 2023: 1-7 - Saksham Goel, Benjamin Mikek, Jehad Aly, Venkat Arun, Ahmed Saeed, Aditya Akella:
Quantitative Verification of Scheduling Heuristics. CoRR abs/2301.04205 (2023) - Sunil Gupta, Alistair Shilton, Arun Kumar A. V., Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh:
BO-Muse: A human expert and AI teaming framework for accelerated experimental design. CoRR abs/2303.01684 (2023) - Arun Venkatesh Ramesh, Xingpeng Li:
Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment. CoRR abs/2306.01570 (2023) - Shamal Shaikh, Venkateswara Rao Kagita, Vikas Kumar, Arun K. Pujari:
Data augmentation for recommender system: A semi-supervised approach using maximum margin matrix factorization. CoRR abs/2306.13050 (2023) - Krishna Teja Chitty-Venkata, Sparsh Mittal, Murali Emani, Venkatram Vishwanath, Arun K. Somani:
A Survey of Techniques for Optimizing Transformer Inference. CoRR abs/2307.07982 (2023) - Venkateswara Rao Kagita, Anshuman Singh, Vikas Kumar, Pavan Kalyan Reddy Neerudu, Arun K. Pujari, Rohit Kumar Bondugula:
Conformal Group Recommender System. CoRR abs/2307.12034 (2023) - Adamya Shyam, Vikas Kumar, Venkateswara Rao Kagita, Arun K. Pujari:
UniRecSys: A Unified Framework for Personalized, Group, Package, and Package-to-Group Recommendations. CoRR abs/2308.04247 (2023) - Advika Vidhyadhiraja, Arun Pa Thiagarajan, Shang Zhu, Venkat Viswanathan, Bharath Ramsundar:
Open Source Infrastructure for Differentiable Density Functional Theory. CoRR abs/2309.15985 (2023) - 2022
- Krishna Teja Chitty-Venkata, Murali Emani, Venkatram Vishwanath, Arun K. Somani:
Neural Architecture Search for Transformers: A Survey. IEEE Access 10: 108374-108412 (2022) - Dhanalaxmi Badvath, Aruna safali Miriyala, Sai chaitanya Kumar Gunupudi, Parish venkata Kumar Kuricheti:
Prediction of software defects using deep learning with improved cuckoo search algorithm. Concurr. Comput. Pract. Exp. 34(26) (2022) - K. Arun Kumar, V. R. Venkatasubramani, S. Rajaram:
Optimal Algorithms for Load Balancing in Optical Burst Switching Networks. Comput. Syst. Sci. Eng. 42(2): 739-749 (2022) - A. Andrew Roobert, P. Sherly Arunodhayamary, D. Gracia Nirmala Rani, M. Venkatesh, L. Jerart Julus:
Design and analysis of 28 GHz CMOS low power LNA with 6.4 dB gain variability for 5G applications. Trans. Emerg. Telecommun. Technol. 33(7) (2022) - Arunmozhi Manimuthu, V. G. Venkatesh, V. Raja Sreedharan, Venkatesh Mani:
Modelling and analysis of artificial intelligence for commercial vehicle assembly process in VUCA world: a case study. Int. J. Prod. Res. 60(14): 4529-4547 (2022) - Arunmozhi Manimuthu, V. G. Venkatesh, Yangyan Shi, V. Raja Sreedharan, S. C. Lenny Koh:
Design and development of automobile assembly model using federated artificial intelligence with smart contract. Int. J. Prod. Res. 60(1): 111-135 (2022) - Venkatesan Vellaiyan, Shanmugam Subramaniam, Veerappan Arunachalam:
Bend angle and contact force on Soft pneumatic gripper for grasping cylindrical-shaped Different-Sized Objects. Int. J. Robotics Autom. 37(5) (2022) - Ajay Narayanan, Aakash Krishna, Prasant Misra, Arunchandar Vasan, Venkatesh Sarangan:
A Dynamic Pricing System for Electric Vehicle Charging Management Using Reinforcement Learning. IEEE Intell. Transp. Syst. Mag. 14(6): 122-134 (2022) - Viswanath Venkatesh, Qin Weng, Arun Rai, Likoebe M. Maruping:
Guidelines for the Development of Three-Level Models: Bridging Levels of Analysis and Integrating Contextual Influences in IS Research. J. Assoc. Inf. Syst. 24(1): 7 (2022) - Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar:
Inductive conformal recommender system. Knowl. Based Syst. 250: 109108 (2022) - Komali Kantamaneni, David Christie, Charlotte E. Lyddon, Peng Huang, Muhammad Nizar, Karuppusamy Balasubramani, Venkatesh Ravichandran, Kumar Arun Prasad, Robert Ramesh Babu Pushparaj, Peter Robins, Sigamani Panneer:
A Comprehensive Assessment of Climate Change and Coastal Inundation through Satellite-Derived Datasets: A Case Study of Sabang Island, Indonesia. Remote. Sens. 14(12): 2857 (2022) - Deepika Selvaraj, Arunachalam Venkatesan:
Analysis & Design of Convolution Operator for High Speed and High Accuracy Convolutional Neural Network-Based Inference Engines. IEEE Trans. Computers 71(2): 390-396 (2022) - William Consagra, Arun Venkataraman, Zhengwu Zhang:
Optimized Diffusion Imaging for Brain Structural Connectome Analysis. IEEE Trans. Medical Imaging 41(8): 2118-2129 (2022) - Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Anjanapura Venkatesh, Svetha Venkatesh:
TRF: Learning Kernels with Tuned Random Features. AAAI 2022: 8286-8294 - Sandipan Choudhuri, Suli Adeniye, Arunabha Sen, Hemanth Venkateswara:
Domain-Invariant Feature Alignment Using Variational Inference for Partial Domain Adaptation. IEEECONF 2022: 349-355 - Anup Agarwal, Venkat Arun, Devdeep Ray, Ruben Martins, Srinivasan Seshan:
Automating network heuristic design and analysis. HotNets 2022: 8-16 - William Sussman, Emily Marx, Venkat Arun, Akshay Narayan, Mohammad Alizadeh, Hari Balakrishnan, Aurojit Panda, Scott Shenker:
The case for an internet primitive for fault localization. HotNets 2022: 160-166