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Publication search results
found 132 matches
- 2024
- Thanh Tung Khuat
, Robert Bassett, Ellen Otte, Alistair Grevis-James, Bogdan Gabrys:
Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities. Comput. Chem. Eng. 182: 108585 (2024) - Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan L. Yuille, Tony Tung:
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction. AAAI 2024: 5298-5308 - Robert Kozinets, Ulrike Gretzel, Tung Bui:
Introduction to the Minitrack on Applying Netnographic Research in the System Sciences Context - Insights, Illustrations, and Intersections. HICSS 2024: 2275-2277 - 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 - Lap Chi Lau, Kam Chuen Tung, Robert Wang:
Fast Algorithms for Directed Graph Partitioning Using Flows and Reweighted Eigenvalues. SODA 2024: 591-624 - Marco Pesavento, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Ziyan Wang, Chun-Han Yao, Marco Volino, Edmond Boyer, Adrian Hilton, Tony Tung:
ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D image. CoRR abs/2403.10357 (2024) - Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T. Stillerman, Felix Friedrich, Prateek Yadav, Tanmay Laud, Minh Chien Vu, Terry Yue Zhuo, Diganta Misra, Ben Bogin, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Junior, Alpay Ariyak, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Noah Persaud, Nour Moustafa-Fahmy, Tianlong Chen, Mohit Bansal, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Huu Nguyen, Sampo Pyysalo:
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. CoRR abs/2404.00399 (2024) - 2023
- Daniel J. Mankowitz
, Andrea Michi, Anton Zhernov, Marco Gelmi, Marco Selvi, Cosmin Paduraru, Edouard Leurent, Shariq Iqbal, Jean-Baptiste Lespiau, Alex Ahern, Thomas Köppe, Kevin Millikin, Stephen Gaffney, Sophie Elster, Jackson Broshear, Chris Gamble, Kieran Milan, Robert Tung, Minjae Hwang, A. Taylan Cemgil, Mohammadamin Barekatain, Yujia Li, Amol Mandhane, Thomas Hubert, Julian Schrittwieser, Demis Hassabis, Pushmeet Kohli, Martin A. Riedmiller, Oriol Vinyals, David Silver:
Faster sorting algorithms discovered using deep reinforcement learning. Nat. 618(7964): 257-263 (2023) - Tung T. Nguyen, Roberto C. Budzinski
, Jacqueline Ðoàn
, Federico W. Pasini, Ján Minác, Lyle E. Muller
:
Equilibria in Kuramoto Oscillator Networks: An Algebraic Approach. SIAM J. Appl. Dyn. Syst. 22(2): 802-824 (2023) - Tung Phan-Minh, Forbes Howington, Ting-Sheng Chu, Momchil S. Tomov, Robert E. Beaudoin, Sang Uk Lee, Nanxiang Li, Caglayan Dicle, Samuel Findler, Francisco Suárez-Ruiz, Bo Yang, Sammy Omari, Eric M. Wolff:
DriveIRL: Drive in Real Life with Inverse Reinforcement Learning. ICRA 2023: 1544-1550 - Duy Tung Nguyen
, Hemant K. Singh, Saber M. Elsayed
, Robert A. Hunjet, Hussein A. Abbass:
Multi-agent Knowledge Transfer in a Society of Interpretable Neural Network Minds for Dynamic Context Formation in Swarm Shepherding. IJCNN 2023: 1-9 - Tung-Chun Chang
, Tirtha Banerjee
, Nalini Venkatasubramanian
, Robert York
:
QuIC-IoT: Model-Driven Short-Term IoT Deployment for Monitoring Physical Phenomena. IoTDI 2023: 424-437 - Lap Chi Lau, Kam Chuen Tung, Robert Wang:
Cheeger Inequalities for Directed Graphs and Hypergraphs using Reweighted Eigenvalues. STOC 2023: 1834-1847 - Pavel Dvorák, Lukás Folwarczný, Michal Opler, Pavel Pudlák, Robert Sámal, Tung Anh Vu:
Bounds on Functionality and Symmetric Difference - Two Intriguing Graph Parameters. WG 2023: 305-318 - Pavel Dvorák, Lukás Folwarczný, Michal Opler, Pavel Pudlák, Robert Sámal, Tung Anh Vu:
Bounds on Functionality and Symmetric Difference - Two Intriguing Graph Parameters. CoRR abs/2302.11862 (2023) - William Bernardoni, Robert Cardona, Jacob Cleveland, Justin Curry
, Robert Green, Brian Heller, Alan Hylton, Tung Lam, Robert Kassouf-Short:
Algebraic and Geometric Models for Space Networking. CoRR abs/2304.01150 (2023) - Pengming Wang, Mikita Sazanovich, Berkin Ilbeyi, Phitchaya Mangpo Phothilimthana, Manish Purohit, Han Yang Tay, Ngân Vu, Miaosen Wang, Cosmin Paduraru, Edouard Leurent, Anton Zhernov, Julian Schrittwieser, Thomas Hubert, Robert Tung, Paula Kurylowicz, Kieran Milan, Oriol Vinyals, Daniel J. Mankowitz:
Optimizing Memory Mapping Using Deep Reinforcement Learning. CoRR abs/2305.07440 (2023) - Lap Chi Lau, Kam Chuen Tung, Robert Wang:
Fast Algorithms for Directed Graph Partitioning Using Flows and Reweighted Eigenvalues. CoRR abs/2306.09128 (2023) - Thanh Tung Khuat, Robert Bassett, Ellen Otte, Alistair Grevis-James, Bogdan Gabrys:
Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities. CoRR abs/2310.09991 (2023) - Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan L. Yuille, Tony Tung:
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction. CoRR abs/2312.17192 (2023) - 2022
- Qibing Jiang, Praneeth Sudalagunta, Maria C. Silva, Rafael R. Canevarolo, Xiaohong Zhao, Khandakar Tanvir Ahmed, Raghunandan Reddy Alugubelli, Gabriel Deavila, Alexandre Tungesvik, Lia Perez, Robert A. Gatenby, Robert J. Gillies, Rachid Baz, Mark B. Meads, Kenneth H. Shain, Ariosto Siqueira Silva, Wei Zhang
:
CancerCellTracker: a brightfield time-lapse microscopy framework for cancer drug sensitivity estimation. Bioinform. 38(16): 4002-4010 (2022) - Bilal Shaikh
, Lucian P. Smith
, Dan Vasilescu, Gnaneswara Marupilla, Michael Wilson
, Eran Agmon
, Henry Agnew
, Steven S. Andrews
, Azraf Anwar, Moritz E. Beber
, Frank T. Bergmann
, David Brooks
, Lutz Brusch
, Laurence Calzone
, Kiri Choi
, Joshua Cooper, John Detloff, Brian Drawert
, Michel Dumontier
, G. Bard Ermentrout
, James R. Faeder
, Andrew P. Freiburger
, Fabian Fröhlich
, Akira Funahashi
, Alan Garny
, John H. Gennari
, Padraig Gleeson
, Anne Goelzer
, Zachary B. Haiman
, Jan Hasenauer
, Joseph L. Hellerstein
, Henning Hermjakob
, Stefan Hoops
, Jon C. Ison
, Diego Jahn
, Henry V. Jakubowski
, Ryann Jordan, Matús Kalas
, Matthias König
, Wolfram Liebermeister
, Rahuman S. Malik-Sheriff
, Synchon Mandal
, Robert A. McDougal
, J. Kyle Medley, Pedro Mendes
, Robert Müller, Chris J. Myers
, Aurélien Naldi
, Tung V. N. Nguyen
, David P. Nickerson
, Brett G. Olivier
, Drashti Patoliya, Loïc Paulevé
, Linda R. Petzold
, Ankita Priya, Anand K. Rampadarath
, Johann M. Rohwer
, Ali Sinan Saglam
, Dilawar Singh
, Ankur Sinha
, Jacky L. Snoep
, Hugh Sorby
, Ryan K. Spangler
, Jörn Starruß
, Payton J. Thomas
, David D. van Niekerk, Daniel Weindl
, Fengkai Zhang
, Anna Zhukova
, Arthur P. Goldberg
, James C. Schaff
, Michael L. Blinov
, Herbert M. Sauro
, Ion I. Moraru
, Jonathan R. Karr
:
BioSimulators: a central registry of simulation engines and services for recommending specific tools. Nucleic Acids Res. 50(W1): 108-114 (2022) - Nur Yildirim
, Alex Kass, Teresa Tung, Connor Upton, Donnacha Costello, Robert Giusti, Sinem Lacin, Sara Lovic, James M. O'Neill, Rudi O'Reilly Meehan, Eoin Ó Loideáin, Azzurra Pini, Medb Corcoran, Jeremiah Hayes, Diarmuid J. Cahalane, Gaurav Shivhare, Luigi Castoro, Giovanni Caruso, Changhoon Oh, James McCann, Jodi Forlizzi, John Zimmerman:
How Experienced Designers of Enterprise Applications Engage AI as a Design Material. CHI 2022: 483:1-483:13 - Robert Cardona, Justin Curry
, Tung Lam, Michael Lesnick:
The Universal ℓp-Metric on Merge Trees. SoCG 2022: 24:1-24:20 - Bilal Shaikh, Lucian P. Smith, Dan Vasilescu, Gnaneswara Marupilla, Michael Wilson, Eran Agmon, Henry Agnew, Steven S. Andrews, Azraf Anwar, Moritz E. Beber, Frank T. Bergmann, David Brooks, Lutz Brusch, Laurence Calzone, Kiri Choi, Joshua Cooper, John Detloff, Brian Drawert, Michel Dumontier, G. Bard Ermentrout, James R. Faeder, Andrew P. Freiburger, Fabian Fröhlich
, Akira Funahashi, Alan Garny, John H. Gennari, Padraig Gleeson, Anne Goelzer, Zachary B. Haiman, Joseph L. Hellerstein, Stefan Hoops, Jon C. Ison, Diego Jahn, Henry V. Jakubowski, Ryann Jordan, Matús Kalas, Matthias König, Wolfram Liebermeister, Synchon Mandal, Robert A. McDougal, J. Kyle Medley, Pedro Mendes, Robert Müller, Chris J. Myers, Aurélien Naldi, Tung V. N. Nguyen, David P. Nickerson, Brett G. Olivier, Drashti Patoliya, Loïc Paulevé, Linda R. Petzold, Ankita Priya, Anand K. Rampadarath, Johann M. Rohwer, Ali Sinan Saglam, Dilawar Singh, Ankur Sinha, Jacky L. Snoep, Hugh Sorby, Ryan K. Spangler, Jörn Starruß, Payton J. Thomas, David D. van Niekerk, Daniel Weindl, Fengkai Zhang, Anna Zhukova, Arthur P. Goldberg, Michael L. Blinov, Herbert M. Sauro, Ion I. Moraru, Jonathan R. Karr:
BioSimulators: a central registry of simulation engines and services for recommending specific tools. CoRR abs/2203.06732 (2022) - Tung Phan-Minh, Forbes Howington, Ting-Sheng Chu, Sang Uk Lee, Momchil S. Tomov, Nanxiang Li, Caglayan Dicle, Samuel Findler, Francisco Suárez-Ruiz, Robert E. Beaudoin, Bo Yang, Sammy Omari, Eric M. Wolff:
Driving in Real Life with Inverse Reinforcement Learning. CoRR abs/2206.03004 (2022) - James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon, Frederick M. Howard, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Jung Woo Kwon, Meghana Agni, Richard C. Simon, Chandni Desai, Raghad Kherallah, Tung D. Nguyen, Jefree J. Schulte, Kimberly Cole, Galina Khramtsova, Marina Chiara Garassino, Aliya N. Husain, Huihua Li, Robert Grossman, Nicole A. Cipriani, Alexander T. Pearson:
Deep Learning Generates Synthetic Cancer Histology for Explainability and Education. CoRR abs/2211.06522 (2022) - Lap Chi Lau, Kam Chuen Tung
, Robert Wang:
Cheeger Inequalities for Directed Graphs and Hypergraphs Using Reweighted Eigenvalues. CoRR abs/2211.09776 (2022) - 2021
- Kala M. Mehta
, Niquo Ceberio, Sonthonax Vernard, Yazmin P. Carrasco, Kirsten Bibbins-Domingo, Tung T. Nguyen, Peter Lê, Jasmón Bailey, Audrey Parangan-Smith, Kelechi Uwaezuoke, Robert C. Rivers
, Kenjus Watson, Leticia Márquez-Magaña:
Designing a biomedical coding program focused on inclusivity and agency. Nat. Comput. Sci. 1(4): 242-243 (2021) - Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín:
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. CoRL 2021: 1367-1378
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