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Publication search results
found 262 matches
- 2024
- Guillaume L. Giudicelli, Alexander D. Lindsay, Logan H. Harbour, Casey Icenhour, Mengnan Li, Joshua Hansel, Peter German, Patrick Behne, Oana Marin, Roy H. Stogner, Jason M. Miller, Daniel Schwen, Yaqi Wang, Lynn Munday, Sebastian Schunert, Benjamin W. Spencer, Dewen Yushu, Antonio M. Recuero, Zachary M. Prince, Max Nezdyur, Tianchen Hu, Yinbin Miao, Yeon Sang Jung, Christopher Matthews, April Novak, Brandon Langley, Timothy J. Truster, Nuno Nobre, Brian Alger, David Andrs, Fande Kong, Robert W. Carlsen, Andrew E. Slaughter, John W. Peterson, Derek Gaston, Cody J. Permann:
3.0 - MOOSE: Enabling massively parallel multiphysics simulations. SoftwareX 26: 101690 (2024) - Jason Ansel, Edward Z. Yang, Horace He, Natalia Gimelshein, Animesh Jain, Michael Voznesensky, Bin Bao, Peter Bell, David Berard, Evgeni Burovski, Geeta Chauhan, Anjali Chourdia, Will Constable, Alban Desmaison, Zachary DeVito, Elias Ellison, Will Feng, Jiong Gong, Michael Gschwind, Brian Hirsh, Sherlock Huang, Kshiteej Kalambarkar, Laurent Kirsch, Michael Lazos, Mario Lezcano, Yanbo Liang, Jason Liang, Yinghai Lu, C. K. Luk, Bert Maher, Yunjie Pan, Christian Puhrsch, Matthias Reso, Mark Saroufim, Marcos Yukio Siraichi, Helen Suk, Shunting Zhang, Michael Suo, Phil Tillet, Xu Zhao, Eikan Wang, Keren Zhou, Richard Zou, Xiaodong Wang, Ajit Mathews, William Wen, Gregory Chanan, Peng Wu, Soumith Chintala:
PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. ASPLOS (2) 2024: 929-947 - Xun Qian, Feitong Tan, Yinda Zhang, Brian Moreno Collins, David Kim, Alex Olwal, Karthik Ramani, Ruofei Du:
ChatDirector: Enhancing Video Conferencing with Space-Aware Scene Rendering and Speech-Driven Layout Transition. CHI 2024: 909:1-909:16 - Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang:
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. CoRR abs/2402.00809 (2024) - Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauzá, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada:
Learning to Learn Faster from Human Feedback with Language Model Predictive Control. CoRR abs/2402.11450 (2024) - 2023
- Brian R. Belland, Chanmin Kim, Anna Yinqi Zhang, Eunseo Lee:
A Generalized Estimating Equations Approach to Investigate Predictors of Teacher Candidates' Views of Coding. ACM Trans. Comput. Educ. 23(2): 29:1-29:23 (2023) - Rui Yin, Helder Veras Ribeiro filho, Valerie Lin, Ragul Gowthaman, Melyssa Cheung, Brian G. Pierce:
TCRmodel2: high-resolution modeling of T cell receptor recognition using deep learning. Nucleic Acids Res. 51(W1): 569-576 (2023) - Troy Bryant, Yingjie Chen, David Selasi Koblah, Domenic Forte, Nima Maghari:
A Brief Tutorial on Mixed Signal Approaches to Combat Electronic Counterfeiting. IEEE Open J. Circuits Syst. 4: 99-114 (2023) - Tung D. Nguyen, Yixiang Wu, Amy Veprauskas, Tingting Tang, Ying Zhou, Charlotte Beckford, Brian Chau, Xiaoyun Chen, Behzad Djafari Rouhani, Yuerong Wu, Yang Yang, Zhisheng Shuai:
Maximizing Metapopulation Growth Rate and Biomass in Stream Networks. SIAM J. Appl. Math. 83(6): 2145-2168 (2023) - Yingke Zhu, Brian Mak:
Bayesian Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1000-1012 (2023) - Yang Chen, Lin Zhang, Ying Shen, Brian Nlong Zhao, Yicong Zhou:
Extrinsic Self-Calibration of the Surround-View System: A Weakly Supervised Approach. IEEE Trans. Multim. 25: 1622-1635 (2023) - Yingyan Zeng, Prithivrajan Thiyagarajan, Brian M. Chan, Ran Jin:
Synthetic Data Generation and Sampling for Online Training of DNNs in Manufacturing Supervised Learning Problems. CASE 2023: 1-6 - Cyrus DiCiccio, Brian Hsu, YinYin Yu, Preetam Nandy, Kinjal Basu:
Detection and Mitigation of Algorithmic Bias via Predictive Parity. FAccT 2023: 1801-1816 - Trang Tran, Yufeng Yin, Leili Tavabi, Joannalyn Delacruz, Brian Borsari, Joshua D. Woolley, Stefan Scherer, Mohammad Soleymani:
Multimodal Analysis and Assessment of Therapist Empathy in Motivational Interviews. ICMI 2023: 406-415 - Thomas R. Allen, Sridhar Katragadda, Yin-Hsuen Chen, Brian B. Terry, Joshua R. Baptist, Oguz Yetkin, Navid Tahvildari, Sunghoon Han, Blake Steiner, George McLeod, Soenke Dangendor, Qiang Sun, Heather Richter:
A Digital Twin to Link Flood Models, Sensors, and Earth Observations for Coastal Resilience in Hampton Roads, Virginia, U.S.A. IGARSS 2023: 1388-1391 - Wei Bai, Shanim Sainul Abdeen, Ankit Agrawal, Krishan Kumar Attre, Paramvir Bahl, Ameya Bhagat, Gowri Bhaskara, Tanya Brokhman, Lei Cao, Ahmad Cheema, Rebecca Chow, Jeff Cohen, Mahmoud Elhaddad, Vivek Ette, Igal Figlin, Daniel Firestone, Mathew George, Ilya German, Lakhmeet Ghai, Eric Green, Albert G. Greenberg, Manish Gupta, Randy Haagens, Matthew Hendel, Ridwan Howlader, Neetha John, Julia Johnstone, Tom Jolly, Greg Kramer, David Kruse, Ankit Kumar, Erica Lan, Ivan Lee, Avi Levy, Marina Lipshteyn, Xin Liu, Chen Liu, Guohan Lu, Yuemin Lu, Xiakun Lu, Vadim Makhervaks, Ulad Malashanka, David A. Maltz, Ilias Marinos, Rohan Mehta, Sharda Murthi, Anup Namdhari, Aaron Ogus, Jitendra Padhye, Madhav Pandya, Douglas Phillips, Adrian Power, Suraj Puri, Shachar Raindel, Jordan Rhee, Anthony Russo, Maneesh Sah, Ali Sheriff, Chris Sparacino, Ashutosh Srivastava, Weixiang Sun, Nick Swanson, Fuhou Tian, Lukasz Tomczyk, Vamsi Vadlamuri, Alec Wolman, Ying Xie, Joyce Yom, Lihua Yuan, Yanzhao Zhang, Brian Zill:
Empowering Azure Storage with RDMA. NSDI 2023: 49-67 - Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison:
Model-based Unbiased Learning to Rank. WSDM 2023: 895-903 - Brian Hsu, Xiaotong Chen, Ying Han, Hongseok Namkoong, Kinjal Basu:
An Operational Perspective to Fairness Interventions: Where and How to Intervene. CoRR abs/2302.01574 (2023) - David A. Clunie, Adam E. Flanders, Adam Taylor, Bradley James Erickson, Brian Bialecki, David Brundage, David Gutman, Fred W. Prior, J. Anthony Seibert, John H. Perry, Judy Wawira Gichoya, Justin S. Kirby, Katherine P. Andriole, Luke Geneslaw, Steve Moore, TJ Fitzgerald, Wyatt M. Tellis, Ying Xiao, Keyvan Farahani:
Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations. CoRR abs/2303.10473 (2023) - Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison:
Unconfounded Propensity Estimation for Unbiased Ranking. CoRR abs/2305.09918 (2023) - Pratik Nag, Ying Sun, Brian J. Reich:
Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting. CoRR abs/2306.11472 (2023) - Pratik Nag, Ying Sun, Brian J. Reich:
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields. CoRR abs/2307.08038 (2023) - Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom:
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR abs/2307.09288 (2023) - Jiaming Ji, Tianyi Qiu, Boyuan Chen, Borong Zhang, Hantao Lou, Kaile Wang, Yawen Duan, Zhonghao He, Jiayi Zhou, Zhaowei Zhang, Fanzhi Zeng, Kwan Yee Ng, Juntao Dai, Xuehai Pan, Aidan O'Gara, Yingshan Lei, Hua Xu, Brian Tse, Jie Fu, Stephen McAleer, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Yike Guo, Wen Gao:
AI Alignment: A Comprehensive Survey. CoRR abs/2310.19852 (2023) - Brian D. Williamson, Drew King, Ying Huang:
Practical considerations for variable screening in the Super Learner. CoRR abs/2311.03313 (2023) - 2022
- Yue Ma, Yingjie Hu, Glenn R. Moncrieff, Jasper A. Slingsby, Adam M. Wilson, Brian Maitner, Ryan Zhenqi Zhou:
Forecasting vegetation dynamics in an open ecosystem by integrating deep learning and environmental variables. Int. J. Appl. Earth Obs. Geoinformation 114: 103060 (2022) - Yongqun He, Hong Yu, Anthony Huffman, Asiyah Yu Lin, Darren A. Natale, John Beverley, Ling Zheng, Yehoshua Perl, Zhigang Wang, Yingtong Liu, Edison Ong, Yang Wang, Philip Huang, Long Tran, Jinyang Du, Zalan Shah, Easheta Shah, Roshan Desai, Hsin-Hui Huang, Yujia Tian, Eric Merrell, William D. Duncan, Sivaram Arabandi, Lynn M. Schriml, Jie Zheng, Anna Maria Masci, Liwei Wang, Hongfang Liu, Fatima Zohra Smaili, Robert Hoehndorf, Zoë May Pendlington, Paola Roncaglia, Xianwei Ye, Jiangan Xie, Yi-Wei Tang, Xiaolin Yang, Suyuan Peng, Luxia Zhang, Luonan Chen, Junguk Hur, Gilbert S. Omenn, Brian D. Athey, Barry Smith:
A comprehensive update on CIDO: the community-based coronavirus infectious disease ontology. J. Biomed. Semant. 13(1): 25 (2022) - Jeremy J. Yang, Christopher Gessner, Joel Duerksen, Daniel Biber, Jessica L. Binder, Murat Ozturk, Brian Foote, Robin McEntire, Kyle Stirling, Ying Ding, David J. Wild:
Knowledge graph analytics platform with LINCS and IDG for Parkinson's disease target illumination. BMC Bioinform. 23(1): 37 (2022) - Brian R. Belland, Eunseo Lee, Anna Yinqi Zhang, Chanmin Kim:
Characterizing the most effective scaffolding approaches in engineering and technology education: A clustering approach. Comput. Appl. Eng. Educ. 30(6): 1795-1812 (2022) - Jun Yuan, Gromit Yeuk-Yin Chan, Brian Barr, Kyle Overton, Kim Rees, Luis Gustavo Nonato, Enrico Bertini, Cláudio T. Silva:
SUBPLEX: A Visual Analytics Approach to Understand Local Model Explanations at the Subpopulation Level. IEEE Computer Graphics and Applications 42(6): 24-36 (2022)
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