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Publication search results
found 437 matches
- 2024
- Minal K. Pawar, Suhas S. Patil:
An electromagnetic bandgap structure assisted MIMO antenna with an optimisation driven hybrid beam forming model. Int. J. Ad Hoc Ubiquitous Comput. 45(3): 200-212 (2024) - Bala Krishna Manash Enturi, A. Suhasini, Narayana Satyala:
Optimized Deep CNN with Deviation Relevance-based LBP for Skin Cancer Detection: Hybrid Metaheuristic Enabled Feature Selection. Int. J. Image Graph. 24(2): 2450023:1-2450023:27 (2024) - Antonious M. Girgis, Suhas N. Diggavi:
Multi-Message Shuffled Privacy in Federated Learning. IEEE J. Sel. Areas Inf. Theory 5: 12-27 (2024) - Ankit Pensia, Varun S. Jog, Po-Ling Loh:
Communication-Constrained Hypothesis Testing: Optimality, Robustness, and Reverse Data Processing Inequalities. IEEE Trans. Inf. Theory 70(1): 389-414 (2024) - Muni Sreenivas Pydi, Varun S. Jog:
The Many Faces of Adversarial Risk: An Expanded Study. IEEE Trans. Inf. Theory 70(1): 550-570 (2024) - Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael J. Jones, Walter J. Scheirer:
Pixel-Grounded Prototypical Part Networks. WACV 2024: 4756-4767 - Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Mykel J. Kochenderfer, Chiho Choi, Behzad Dariush:
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. WACV 2024: 7498-7507 - Sven Klaassen, Jan Teichert-Kluge, Philipp Bach, Victor Chernozhukov, Martin Spindler, Suhas Vijaykumar:
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data. CoRR abs/2402.01785 (2024) - Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi Raghunathan:
Repetition Improves Language Model Embeddings. CoRR abs/2402.15449 (2024) - Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson:
A Safe Harbor for AI Evaluation and Red Teaming. CoRR abs/2403.04893 (2024) - Ankit Pensia, Varun S. Jog, Po-Ling Loh:
The Sample Complexity of Simple Binary Hypothesis Testing. CoRR abs/2403.16981 (2024) - Paula Stocco, Suhas Chundi, Arec L. Jamgochian, Mykel J. Kochenderfer:
Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent. CoRR abs/2403.17358 (2024) - 2023
- Dhaivat Joshi, Suhas N. Diggavi, Mark J. P. Chaisson, Sreeram Kannan:
HQAlign: aligning nanopore reads for SV detection using current-level modeling. Bioinform. 39(10) (2023) - Robert P. Dick, Rob Aitken, Jace Mogill, John Paul Strachan, Kirk Bresniker, Wei Lu, Yorie Nakahira, Zhiyong Li, Matthew J. Marinella, William Severa, A. Alec Talin, Craig M. Vineyard, Suhas Kumar, Christian Mailhiot, Lennie Klebanoff:
Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer 56(3): 47-58 (2023) - Hrag-Harout Jebamikyous, Menglu Li, Yoga Suhas Kuruba Manjunath, Rasha Kashef:
Leveraging machine learning and blockchain in E-commerce and beyond: benefits, models, and application. Discov. Artif. Intell. 3(1) (2023) - M. S. Lohith, Yoga Suhas Kuruba Manjunath, M. N. Eshwarappa:
Multimodal Biometric Person Authentication Using Face, Ear and Periocular Region Based on Convolution Neural Networks. Int. J. Image Graph. 23(2): 2350019:1-2350019:16 (2023) - Suhas S. Jain, Michael C. Adler, Jacob R. West, Ali Mani, Parviz Moin, Sanjiva K. Lele:
Assessment of diffuse-interface methods for compressible multiphase fluid flows and elastic-plastic deformation in solids. J. Comput. Phys. 475: 111866 (2023) - Suhas S. Jain, Ali Mani:
A computational model for transport of immiscible scalars in two-phase flows. J. Comput. Phys. 476: 111843 (2023) - Ashutosh Mugatkar, Suhas S. Gajre:
Implementation of Efficient Vedic Multiplier and Its Performance Evaluation. J. Circuits Syst. Comput. 32(15): 2350253:1-2350253:17 (2023) - Xuanyu Cao, Tamer Basar, Suhas N. Diggavi, Yonina C. Eldar, Khaled B. Letaief, H. Vincent Poor, Junshan Zhang:
Guest Editorial Communication-Efficient Distributed Learning Over Networks. IEEE J. Sel. Areas Commun. 41(4): 845-850 (2023) - Xuanyu Cao, Tamer Basar, Suhas N. Diggavi, Yonina C. Eldar, Khaled B. Letaief, H. Vincent Poor, Junshan Zhang:
Communication-Efficient Distributed Learning: An Overview. IEEE J. Sel. Areas Commun. 41(4): 851-873 (2023) - Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Optimization. IEEE Trans. Autom. Control. 68(2): 721-736 (2023) - Fei Hua, Yuwei Jin, Yan-Hao Chen, Suhas Vittal, Kevin Krsulich, Lev S. Bishop, John Lapeyre, Ali Javadi-Abhari, Eddy Z. Zhang:
CaQR: A Compiler-Assisted Approach for Qubit Reuse through Dynamic Circuit. ASPLOS (3) 2023: 59-71 - Karan Salunkhe, Sudhanshu Suhas Gonge, Rahul Joshi, Ketan Kotecha, Vinod Basalalli, Pankaj Shah:
Econometrics and Manufacturing Industries Retail Volumes Forecast. CCWC 2023: 1256-1259 - Ankit Pensia, Amir-Reza Asadi, Varun S. Jog, Po-Ling Loh:
Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints. COLT 2023: 3229-3230 - Sudhanshu Suhas Gonge, Rahul Joshi, Ketan Kotecha, Milind Gayakwad, Rupali Gangarde, Gagandeep Kaur, Kalyani Kadam:
A Comparative Study of DWT and DCT Along with AES Techniques for Safety Transmission of Digital Bank Cheque Image. COMS2 2023: 70-86 - Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum:
Are Deep Neural Networks SMARTer Than Second Graders? CVPR 2023: 10834-10844 - Eun Som Jeon, Suhas Lohit, Rushil Anirudh, Pavan K. Turaga:
Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks. ICASSP 2023: 1-5 - Manish Sharma, Moitreya Chatterjee, Kuan-Chuan Peng, Suhas Lohit, Michael N. Jones:
Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection. ICCV (Workshops) 2023: 924-932 - Dheeraj Mysore Nagaraj, Suhas S. Kowshik, Naman Agarwal, Praneeth Netrapalli, Prateek Jain:
Multi-User Reinforcement Learning with Low Rank Rewards. ICML 2023: 25627-25659
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