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Publication search results
found 200 matches
- 2024
- LuEttaMae Lawrence, Vanessa Echeverría, Kexin Bella Yang, Vincent Aleven, Nikol Rummel:
How teachers conceptualise shared control with an AI co-orchestration tool: A multiyear teacher-centred design process. Br. J. Educ. Technol. 55(3): 823-844 (2024) - Yan-Yin He, Shang-Ho Tsai, H. Vincent Poor:
Physical Beam Sharing for Communications With Multiple Low Earth Orbit Satellites. IEEE Trans. Signal Process. 72: 2783-2798 (2024) - Zhenglong Li, Vincent W. L. Tam, Kwan L. Yeung:
Developing a Multi-agent and Self-adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management. AAMAS 2024: 1174-1182 - Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - Zhenglong Li, Vincent W. L. Tam, Kwan L. Yeung:
Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management. CoRR abs/2402.00515 (2024) - 2023
- Ana Lawry Aguila, Alejandra Jayme, Nina Montaña Brown, Vincent Heuveline, André Altmann:
Multi-view-AE: A Python package for multi-view autoencoder models. J. Open Source Softw. 8(86): 5093 (2023) - Vincent T. S. Law, Hilary Hiu Lam Yee, Tommy K. C. Ng, Ben Yuk Fai Fong:
Transition from Traditional to Online Learning in Hong Kong Tertiary Educational Institutions During COVID-19 Pandemic. Technol. Knowl. Learn. 28(3): 1425-1441 (2023) - Vanessa Echeverría, Kexin Bella Yang, LuEttaMae Lawrence, Nikol Rummel, Vincent Aleven:
Designing Hybrid Human-AI Orchestration Tools for Individual and Collaborative Activities: A Technology Probe Study. IEEE Trans. Learn. Technol. 16(2): 191-205 (2023) - Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough:
NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. IEEE Big Data 2023: 3704-3710 - Jihun Lee, Ah-Hyoung Lee, Vincent W. Leung, Farah Laiwalla, Miguel Angel Lopez-Gordo, Lawrence E. Larson, Arto V. Nurmikko:
Asynchronous Wireless Network for Transmission of Neural Data from Thousands of Autonomous Microimplants. BioCAS 2023: 1-5 - Vincent W. Leung, Ah-Hyoung Lee, Jihun Lee, Sravya Alluri, Julian Alonzo, Luke Mello, Brett Beyer, David Durfee, Wing-Fat Andy Lau, Peter M. Asbeck, Lawrence E. Larson, Farah Laiwalla, Arto V. Nurmikko:
Improving Wireless Power Transfer Efficiency for Distributed Brain Implants using Auto-Tune OVP. BioCAS 2023: 1-5 - Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda:
Evaluating Unsupervised Denoising Requires Unsupervised Metrics. ICML 2023: 23937-23957 - Chaopeng Shen, Alison P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin V. Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran J. Harman, Martyn Clark, Matthew W. Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Tirthankar Roy, Chonggang Xu, Kathryn Lawson:
Differentiable modeling to unify machine learning and physical models and advance Geosciences. CoRR abs/2301.04027 (2023) - Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough:
Introducing NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. CoRR abs/2311.11099 (2023) - Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough:
NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. CoRR abs/2311.15113 (2023) - Gilles Mertens, Nataliia Bielova, Vincent Roca, Cristiana Santos, Michael Toth:
Google Tag Manager: Hidden Data Leaks and its Potential Violations under EU Data Protection Law. CoRR abs/2312.08806 (2023) - 2022
- Vincent Ooi, Soh Kian Peng, Jerrold Soh:
Blockchain land transfers: Technology, promises, and perils. Comput. Law Secur. Rev. 45: 105672 (2022) - Catherine Lee, Brian L. Lawson, Ariana J. Mann, Vincent X. Liu, Laura C. Myers, Alejandro Schuler, Gabriel J. Escobar:
Exploratory analysis of novel electronic health record variables for quantification of healthcare delivery strain, prediction of mortality, and prediction of imminent discharge. J. Am. Medical Informatics Assoc. 29(6): 1078-1090 (2022) - Armie E. Pakzad, Xavier Francis B. Asuncion, Joshua Vincent G. Ligayo, Raine Mattheus C. Manuel, Jerrick Spencer K. Uy, Lawrence Materum:
A Menu-driven Interface for a Geolocation Database for Wireless Spectrum Sharing. J. Commun. 17(1): 56-62 (2022) - Emily B. Brant, Jason N. Kennedy, Andrew J. King, Lawrence Gerstley, Pranita Mishra, David Schlessinger, James Shalaby, Gabriel J. Escobar, Derek C. Angus, Christopher W. Seymour, Vincent X. Liu:
Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR. npj Digit. Medicine 5 (2022) - Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda:
Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy. IEEE Trans. Computational Imaging 8: 585-597 (2022) - Xinghao Lu, Haiyan Zhao, Bingzhao Gao, Weixuan Chen, Hong Chen:
Decision-Making Method of Autonomous Vehicles in Urban Environments Considering Traffic Laws. IEEE Trans. Intell. Transp. Syst. 23(11): 21641-21652 (2022) - Kexin Bella Yang, Zijing Lu, Vanessa Echeverría, Jonathan Sewall, LuEttaMae Lawrence, Nikol Rummel, Vincent Aleven:
Technology Ecosystem for Orchestrating Dynamic Transitions Between Individual and Collaborative AI-Tutored Problem Solving. AIED (1) 2022: 673-678 - Atif Khan, Conor Lawless, Amy E. Vincent, Satish Pilla, Sushanth Ramesh, A. Stephen McGough:
Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data. IEEE Big Data 2022: 4375-4384 - Vincent Aleven, Jori Blankestijn, LuEttaMae Lawrence, Tomohiro Nagashima, Niels Taatgen:
A Dashboard to Support Teachers During Students' Self-paced AI-Supported Problem-Solving Practice. EC-TEL 2022: 16-30 - Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg:
Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting. ICRA 2022: 8282-8289 - Shengqi Dai, Vincent W. L. Tam, Zhenglong Li, Lawrence K. Yeung:
Enhancing a Multi-population Optimisation Approach with a Dynamic Transformation Scheme. IEA/AIE 2022: 199-210 - Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk:
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. CoRR abs/2202.12950 (2022) - Vincent Milimo Masilokwa Punabantu, Malebogo N. Ngoepe, Amit Kumar Mishra, Thomas Aldersley, John Lawrenson, Liesl J. Zuhlke:
Machine Learning based Extraction of Boundary Conditions from Doppler Echo Images for Patient Specific Coarctation of the Aorta: Computational Fluid Dynamics Study. CoRR abs/2209.09139 (2022) - Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda:
Evaluating Unsupervised Denoising Requires Unsupervised Metrics. CoRR abs/2210.05553 (2022)
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