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- Dilip V. Sarwate
aka: Dilip Vishwanath Sarwate - Deshmukh Arun Vishwanath
- Dhanraj Vishwanath
- Saudamini Vishwanath Dabak
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Publication search results
found 439 matches
- 2024
- Mounika Dasohari
, Neti Vishwanathan
, Shunmugam Porpandiselvi
, A. R. M. Vani:
A Soft-Switched Boost Converter Based LED Driver With Reduced Input Current Ripple. IEEE Access 12: 45904-45922 (2024) - Fredrik Heiding
, Bruce Schneier
, Arun Vishwanath, Jeremy Bernstein, Peter S. Park
:
Devising and Detecting Phishing Emails Using Large Language Models. IEEE Access 12: 42131-42146 (2024) - Krishna Satyanarayana
, Deepak Chandrashekar
, Nanjangud Vishwanath Vighnesh
, Alexander Brem
:
Competitive Analysis or Stakeholder Pre-Commitments? How Firms' Strategic Decision-Making Choices Mediate the Relationship Between its Strategic Posture and Digitalization. IEEE Trans. Engineering Management 71: 3979-3992 (2024) - Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk:
Titan: Bringing the Deep Image Prior to Implicit Representations. ICASSP 2024: 6165-6169 - T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk:
Implicit Neural Representations and the Algebra of Complex Wavelets. ICLR 2024 - 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 - Zhen Xie, Murali Emani, Xiaodong Yu, Dingwen Tao, Xin He, Pengfei Su, Keren Zhou, Venkatram Vishwanath:
Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor. USENIX ATC 2024: 1203-1221 - Sriram Srinivasan
, Stephen Sheng
, Rishabh Deshmukh
, Chen Luo
, Yesh Dattatreya
, Subhajit Sanyal
, S. V. N. Vishwanathan
:
Bi-CAT: Improving Robustness of LLM-based Text Rankers to Conditional Distribution Shifts. WWW (Companion Volume) 2024: 1626-1633 - Tugba Akinci D'Antonoli, Lucas K. Berger, Ashraya K. Indrakanti, Nathan Vishwanathan, Jakob Weiß, Matthias Jung, Zeynep Berkarda, Alexander Rau, Marco Reisert, Thomas Küstner, Alexandra Walter, Elmar M. Merkle, Martin Segeroth, Joshy Cyriac, Shan Yang, Jakob Wasserthal:
TotalSegmentator MRI: Sequence-Independent Segmentation of 59 Anatomical Structures in MR images. CoRR abs/2405.19492 (2024) - Ajay Vishwanath, Louise A. Dennis, Marija Slavkovik:
Reinforcement Learning and Machine ethics:a systematic review. CoRR abs/2407.02425 (2024) - Karl Kreder, Shreekara Shastry, Apostolos Tzinas, Sriram Vishwanath, Dionysis Zindros:
A Better Proof-of-Work Fork Choice Rule. IACR Cryptol. ePrint Arch. 2024: 200 (2024) - 2023
- Ajay Vishwanath
, Einar Duenger Bøhn, Ole-Christoffer Granmo, Charl Maree, Christian W. Omlin:
Towards artificial virtuous agents: games, dilemmas and machine learning. AI Ethics 3(3): 663-672 (2023) - Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann
, Michael W. Irvin, Defne G. Ozgulbas
, Natalia Vassilieva, J. Gregory Pauloski
, Logan T. Ward
, Valérie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin
, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian T. Foster
, James J. Davis, Michael E. Papka, Thomas S. Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan
:
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 37(6): 683-705 (2023) - Ian P. Roberts
, Aditya Chopra, Thomas David Novlan, Sriram Vishwanath
, Jeffrey G. Andrews
:
Spatial and Statistical Modeling of Multi-Panel Millimeter Wave Self-Interference. IEEE J. Sel. Areas Commun. 41(9): 2780-2795 (2023) - Kristi Yoonsup Lee, Saudamini Vishwanath Dabak, Vivian Hanxiao Kong, Minah Park, Shirley L. L. Kwok
, Madison Silzle
, Chayapat Rachatan, Alex R. Cook, Aly Passanante
, Ed Pertwee
, Zhengdong Wu, Javier A. Elkin
, Heidi J. Larson
, Eric H. Y. Lau, Kathy Leung
, Joseph T. Wu, Leesa Lin
:
Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore. npj Digit. Medicine 6 (2023) - Rajesh K. Mishra
, Deepanshu Vasal
, Sriram Vishwanath:
Model-Free Reinforcement Learning for Mean Field Games. IEEE Trans. Control. Netw. Syst. 10(4): 2141-2151 (2023) - Ipsita Koley
, Soumyajit Dey
, Debdeep Mukhopadhyay
, Sachin Kumar Singh
, Lavanya Lokesh
, Shantaram Vishwanath Ghotgalkar
:
CAD Support for Security and Robustness Analysis of Safety-critical Automotive Software. ACM Trans. Cyber Phys. Syst. 7(1): 7:1-7:26 (2023) - Manuel Striani, Gautam Vishwanath, Lily Díaz-Kommonen, Antonio Lieto, Leena Svinhufvud, Rossana Damiano:
Extracting Emotions from Users' Annotations in Virtual Museums: a Case Study on the Pop-up Virtual Museum of the Design Museum Helsinki (full paper). IAI4CH@AI*IA 2023: 92-103 - Aniket Dashpute
, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos K. Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt:
Thermal Spread Functions (TSF): Physics-Guided Material Classification. CVPR 2023: 1641-1650 - Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk:
WIRE: Wavelet Implicit Neural Representations. CVPR 2023: 18507-18516 - Deepti Hegde, Velat Kilic, Vishwanath Sindagi, A. Brinton Cooper III, Mark A. Foster, Vishal M. Patel:
Source-free Unsupervised Domain Adaptation for 3D Object Detection in Adverse Weather. ICRA 2023: 6973-6980 - Viktor Dudash, Kashi Vishwanath Machani, Bjoern Boehme, Simone Capecchi, Jungtae Ok, Karsten Meier, Frank Kuechenmeister, Marcel Wieland, Karlheinz Bock:
Wafer Level Chip Scale Package Failure Mode Prediction using Finite Element Modeling. IRPS 2023: 1-6 - Khalid Hossain
, Riccardo Balin
, Corey Adams
, Thomas D. Uram
, Kalyan Kumaran
, Venkatram Vishwanath
, Tanima Dey
, Subrata Goswami
, Janghaeng Lee
, Rebecca Ramer
, Koichi Yamada
:
Demonstration of Portable Performance of Scientific Machine Learning on High Performance Computing Systems. SC Workshops 2023: 644-647 - Ryien Hosseini, Filippo Simini
, Venkatram Vishwanath, Ramakrishnan Sivakumar, Sanjif Shanmugavelu, Zhengyu Chen, Lev Zlotnik, Mingran Wang, Philip Colangelo, Andrew Deng, Philip Lassen, Shukur Pathan:
Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads. ISC Workshops 2023: 648-661 - Derek Jacoby, Donglin Xu, Weder Ribas, Minyi Xu, Ting Liu, Vishwanath Jeyaraman, Mengdi Wei, Emma De Blois, Yvonne Coady:
Efficient Cloud Pipelines for Neural Radiance Fields. UEMCON 2023: 114-119 - Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk:
WIRE: Wavelet Implicit Neural Representations. CoRR abs/2301.05187 (2023) - Aniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos K. Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt:
Thermal Spread Functions (TSF): Physics-guided Material Classification. CoRR abs/2304.00696 (2023) - Fredrik Heiding, Bruce Schneier, Arun Vishwanath, Jeremy Bernstein:
Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models. CoRR abs/2308.12287 (2023) - Dennis Y. Menn, Tzu-hsun Feng, Sriram Vishwanath, Hung-yi Lee:
Investigating Human-Identifiable Features Hidden in Adversarial Perturbations. CoRR abs/2309.16878 (2023) - T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk:
Implicit Neural Representations and the Algebra of Complex Wavelets. CoRR abs/2310.00545 (2023)
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