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Publication search results
found 334 matches
- 2024
- T. Prabhakara Rao, Satishkumar Patnala, Ch. V. Raghavendran, E. Laxmi Lydia, Yeonwoo Lee, Srijana Acharya, JaeYong Hwang:
Oppositional Brain Storm Optimization With Deep Learning Based Facial Emotion Recognition for Autonomous Intelligent Systems. IEEE Access 12: 44278-44285 (2024) - John Delaney, Badih Ghazi, Charlie Harrison, Christina Ilvento, Ravi Kumar, Pasin Manurangsi, Martin Pál, Karthik Prabhakar, Mariana Raykova:
Differentially Private Ad Conversion Measurement. Proc. Priv. Enhancing Technol. 2024(2): 124-140 (2024) - Ravi Raj Saxena, Joydeep Pal, Srinivasan Iyengar, Bhawana Chhaglani, Anurag Ghosh, Venkata N. Padmanabhan, Prabhakar T. Venkata:
Holistic Energy Awareness and Robustness for Intelligent Drones. ACM Trans. Sens. Networks 20(3): 57:1-57:31 (2024) - Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev:
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. ACL (1) 2024: 12333-12347 - Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodríguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Xia, Jiatong Yu, Junjie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen:
Language Models as Science Tutors. ICML 2024 - Lipsy Gupta, Jahid Chowdhury Choton, Pavithra Prabhakar:
Safety Verification of Closed-loop Control System with Anytime Perception. ICRA 2024: 227-233 - Nithish Krishnabharathi Gnani, Joydeep Pal, Deepak Choudhary, Himanshu Verma, Soumya Kanta Rana, Kaushal S. Mhapsekar, T. V. Prabhakar, Chandramani Singh:
EdgeP4: In-Network Edge Intelligence for a Tactile Cyber-Physical System Testbed Across Cities. INFOCOM (Workshops) 2024: 1-6 - Joydeep Pal, Deepak Choudhary, Nithish Krishnabharathi Gnani, T. V. Prabhakar, Chandramani Singh, Hari Krishna Atluri, Arumugam Paventhan:
Towards a TSN-DetNet Intercity Testbed for Tactile Cyber-Physical Systems. INFOCOM (Workshops) 2024: 1-6 - Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze:
Link Prediction for Flow-Driven Spatial Networks. WACV 2024: 2460-2469 - Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev:
Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. CoRR abs/2401.06310 (2024) - Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodríguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Jia, Jiatong Yu, Jun-Jie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen:
Language Models as Science Tutors. CoRR abs/2402.11111 (2024) - Sebastien Baur, Zaid Nabulsi, Wei-Hung Weng, Jake Garrison, Louis Blankemeier, Sam Fishman, Christina Chen, Sujay Kakarmath, Minyoi Maimbolwa, Nsala Sanjase, Brian Shuma, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Shruthi Prabhakara, Monde Muyoyeta, Diego Ardila:
HeAR - Health Acoustic Representations. CoRR abs/2403.02522 (2024) - John Delaney, Badih Ghazi, Charlie Harrison, Christina Ilvento, Ravi Kumar, Pasin Manurangsi, Martin Pal, Karthik Prabhakar, Mariana Raykova:
Differentially Private Ad Conversion Measurement. CoRR abs/2403.15224 (2024) - Pulkit Khandelwal, Michael Tran Duong, Constanza Fuentes, Amanda Denning, Winifred Trotman, Ranjit Ittyerah, Alejandra Bahena, Theresa Schuck, Marianna Gabrielyan, Karthik Prabhakaran, Daniel T. Ohm, Gabor Mizsei, John L. Robinson, Mónica Muñoz López, John A. Detre, Edward B. Lee, David J. Irwin, Corey McMillan, M. Dylan Tisdall, Sandhitsu R. Das, David A. Wolk, Paul A. Yushkevich:
Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in neurodegenerative diseases. CoRR abs/2403.19497 (2024) - Lin Yang, Shawn Xu, Andrew Sellergren, Timo Kohlberger, Yuchen Zhou, Ira Ktena, Atilla P. Kiraly, Faruk Ahmed, Farhad Hormozdiari, Tiam Jaroensri, Eric Wang, Ellery Wulczyn, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle K. Barral, Shravya Shetty, David J. Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory Y. McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden:
Advancing Multimodal Medical Capabilities of Gemini. CoRR abs/2405.03162 (2024) - Raghu Prabhakar, Ram Sivaramakrishnan, Darshan Gandhi, Yun Du, Mingran Wang, Xiangyu Song, Kejie Zhang, Tianren Gao, Angela Wang, Karen Li, Yongning Sheng, Joshua Brot, Denis Sokolov, Apurv Vivek, Calvin Leung, Arjun Sabnis, Jiayu Bai, Tuowen Zhao, Mark Gottscho, David Jackson, Mark Luttrell, Manish K. Shah, Edison Chen, Kaizhao Liang, Swayambhoo Jain, Urmish Thakker, Dawei Huang, Sumti Jairath, Kevin J. Brown, Kunle Olukotun:
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. CoRR abs/2405.07518 (2024) - Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Nicholas A. Furlotte, Zhun Yang, Chace Lee, Erik Schenck, Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant, Ryan G. Gomes, Allen Jiang, Roy Lee, Yun Liu, Javier Perez Matos, Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez, Mark Malhotra, Leor Stern, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff, Cory Y. McLean:
Towards a Personal Health Large Language Model. CoRR abs/2406.06474 (2024) - Chinmay Prabhakar, Suprosanna Shit, Fabio Musio, Kaiyuan Yang, Tamaz Amiranashvili, Johannes C. Paetzold, Hongwei Bran Li, Bjoern H. Menze:
3D Vessel Graph Generation Using Denoising Diffusion. CoRR abs/2407.05842 (2024) - Jennifer Chien, A. Stevie Bergman, Kevin R. McKee, Nenad Tomasev, Vinodkumar Prabhakaran, Rida Qadri, Nahema Marchal, William Isaac:
(Unfair) Norms in Fairness Research: A Meta-Analysis. CoRR abs/2407.16895 (2024) - 2023
- Neha Chhabra Roy, Sreeleakha Prabhakaran:
Internal-led cyber frauds in Indian banks: an effective machine learning-based defense system to fraud detection, prioritization and prevention. Aslib J. Inf. Manag. 75(2): 246-296 (2023) - Kalyan Singh, Sumit Saroha, Avnesh Verma, Priti Prabhakar, Krishan Kumar, Charanjeet Madan:
An Optimal Parameterized Fractional-Order PID Controller for the Single Phase Grid Integrated with Solar and Wind System. Cybern. Syst. 54(7): 1086-1110 (2023) - Yi Zhong, Prabhakar Chalise, Jianghua He:
Nested cross-validation with ensemble feature selection and classification model for high-dimensional biological data. Commun. Stat. Simul. Comput. 52(1): 110-125 (2023) - Hawazin Alghamdi, Olasunbo Z. Farinre, Mathew L. Kelley, Adam J. Biacchi, Dipanjan Saha, Tehseen Adel, Kerry Siebein, Angela R. Hight Walker, Christina A. Hacker, Albert F. Rigosi, Prabhakar Misra:
Experimental Spectroscopic Data of SnO2 Films and Powder. Data 8(2): 37 (2023) - R. Saravana Ram, M. Lordwin Cecil Prabhaker:
Diagnosis of Analog and Digital Circuit Faults Using Exponential Deep Learning Neural Network. J. Electron. Test. 39(4): 421-433 (2023) - Oscar Castro, Jacqueline Louise Mair, Alicia Salamanca-Sanabria, Aishah Alattas, Roman Keller, Shenglin Zheng, Ahmad Jabir, Xiaowen Lin, Bea Franziska Frese, Chang Siang Lim, Prabhakaran Santhanam, Rob M. van Dam, Josip Car, Jimmy Lee, E. Shyong Tai, Elgar Fleisch, Florian von Wangenheim, Lorainne Tudor Car, Falk Müller-Riemenschneider, Tobias Kowatsch:
Development of "LvL UP 1.0": a smartphone-based, conversational agent-delivered holistic lifestyle intervention for the prevention of non-communicable diseases and common mental disorders. Frontiers Digit. Health 5 (2023) - Joel Meyer, Ahalya Prabhakar, Allison Pinosky, Ian Abraham, Annalisa T. Taylor, Millicent Schlafly, Katarina Popovic, Giovani Diniz, Brendan Teich, Borislava I. Simidchieva, Shane Clark, Todd D. Murphey:
Scale-Invariant Specifications for Human-Swarm Systems. Field Robotics 3(1): 368-391 (2023) - Pierce Lai, Abhishek Mohan, Seok Kim, Jung Soo Victor Chu, Samuel Lee, Prabhakar Kafle, Patrick Wang:
Customized Information Extraction and Processing Pipeline for Commercial Invoices. Int. J. Pattern Recognit. Artif. Intell. 37(9): 2354013:1-2354013:23 (2023) - R. Saravana Ram, M. Lordwin Cecil Prabhaker:
Intelligent Optimization Approaches for a Secured Dynamic Partial Reconfigurable Architecture-Based Health Monitoring System. J. Circuits Syst. Comput. 32(3): 2350047:1-2350047:22 (2023) - Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24: 240:1-240:113 (2023)
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