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- Joshua Sunshine
Carnegie Mellon University, Institute for Software Research, Pittsburgh, PA, USA - Joshua SungWoo Yang
- Joshua Sunday
- Joshua Sunder David Reddipogu
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Publication search results
found 377 matches
- 2025
- Yongda Cai, Mohammad Sultan Mahmud, Jingsheng Xu, Xudong Sun, Joshua Zhexue Huang:
Spectral ensemble clustering with doubly stochastic co-association matrix. Inf. Sci. 686: 121314 (2025) - 2024
- Anni Zhao, Arash Toudeshki, Reza Ehsani, Joshua H. Viers, Jian-Qiao Sun:
Evaluation of Neural Network Effectiveness on Sliding Mode Control of Delta Robot for Trajectory Tracking. Algorithms 17(3): 113 (2024) - Richard O. Akinola, Ali Shokri, Joshua Sunday, Daniela Marian, Oyindamola D. Akinlabi:
Comparing the Performance of Two Butcher-Based Block Hybrid Algorithms for the Solution of Initial Value Problems. Axioms 13(3): 165 (2024) - Lei Li, Jiayi Sun, Yanbin Fu, Siriruk Changrob, Joshua J. C. McGrath, Patrick C. Wilson:
A hybrid demultiplexing strategy that improves performance and robustness of cell hashing. Briefings Bioinform. 25(4) (2024) - Joshua Sunshine, Joey Velez-Ginorio:
Research Experiences for Undergraduates Are Necessary for an Equitable Research Community. Commun. ACM 67(8): 26-28 (2024) - Sam Estep, Wode Ni, Raven Rothkopf, Joshua Sunshine:
Rose: Composable Autodiff for the Interactive Web (Artifact). Dagstuhl Artifacts Ser. 10(2): 7:1-7:4 (2024) - Xudong Sun, Lingxiang Zhao, Jiaqi Chen, Yongda Cai, Dingming Wu, Joshua Zhexue Huang:
Non-MapReduce computing for intelligent big data analysis. Eng. Appl. Artif. Intell. 129: 107648 (2024) - Yongda Cai, Dingming Wu, Xudong Sun, Siyue Wu, Jingsheng Xu, Joshua Zhexue Huang:
CDFRS: A scalable sampling approach for efficient big data analysis. Inf. Process. Manag. 61(4): 103746 (2024) - Xudong Sun, Alladoumbaye Ngueilbaye, Kaijing Luo, Yongda Cai, Dingming Wu, Joshua Zhexue Huang:
A scalable and flexible basket analysis system for big transaction data in Spark. Inf. Process. Manag. 61(2): 103577 (2024) - Joshua Sunday, Ali Shokri, Nathaniel Mahwash Kamoh, Bwebum Cleofas Dang, Nazim Idrisoglu Mahmudov:
A computational approach to solving some applied rigid second-order problems. Math. Comput. Simul. 217: 121-138 (2024) - Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Alan Fries, José D. Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung:
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare. BMC Medical Informatics Decis. Mak. 24(1): 51 (2024) - Sahand Eivazi Adli, Joshua K. Pickard, Ganyun Sun, Rickey Dubay:
Deformation Estimation of Textureless Objects from a Single Image. Sensors 24(14): 4707 (2024) - Sam Estep, Wode Ni, Raven Rothkopf, Joshua Sunshine:
Rose: Composable Autodiff for the Interactive Web. ECOOP 2024: 15:1-15:27 - Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum:
Learning to Act from Actionless Videos through Dense Correspondences. ICLR 2024 - Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du, Hongxin Zhang, Yilun Du, Joshua B. Tenenbaum, Chuang Gan:
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments. ICLR 2024 - Yunhao Luo, Chen Sun, Joshua B. Tenenbaum, Yilun Du:
Potential Based Diffusion Motion Planning. ICML 2024 - Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik:
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. ICML 2024 - Wode Ni, Sam Estep, Hwei-Shin Harriman, Kenneth R. Koedinger, Joshua Sunshine:
Edgeworth: Efficient and Scalable Authoring of Visual Thinking Activities. L@S 2024: 98-109 - Alexa F. Siu, Zichao Wang, Joshua Hoeflich, Naman Kapasi, Ani Nenkova, Tong Sun:
ATLAS: A System for PDF-centric Human Interaction Data Collection. NAACL (Demonstrations) 2024: 87-96 - Adira Colton, Declan Fitzgerald, Sunandita Sarker, Noah Barnes, Dheeraj Gandhi, Miroslaw Janowski, Jeremy D. Brown, Joshua Kanter, Laura Olivieri, Mark D. Fuge, Axel Krieger, Ryan D. Sochol:
Toward "S"-Shaped 3D-Printed Soft Robotic Guidewires for Pediatric Patent Ductus Arteriosus Endovascular Interventions. RoboSoft 2024: 965-970 - Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du, Hongxin Zhang, Yilun Du, Joshua B. Tenenbaum, Chuang Gan:
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments. CoRR abs/2401.12975 (2024) - Sam Estep, Raven Rothkopf, Wode Ni, Joshua Sunshine:
Rose: Efficient and Extensible Autodiff on the Web. CoRR abs/2402.17743 (2024) - Joshua Dennis Booth, Hongyang Sun, Trevor Garnett:
Neural Acceleration of Incomplete Cholesky Preconditioners. CoRR abs/2403.00743 (2024) - Ian McCormack, Tomas Dougan, Sam Estep, Hanan Hibshi, Jonathan Aldrich, Joshua Sunshine:
"Against the Void": An Interview and Survey Study on How Rust Developers Use Unsafe Code. CoRR abs/2404.02230 (2024) - Ian McCormack, Joshua Sunshine, Jonathan Aldrich:
A Study of Undefined Behavior Across Foreign Function Boundaries in Rust Libraries. CoRR abs/2404.11671 (2024) - Davis Wertheimer, Joshua Rosenkranz, Thomas P. Parnell, Sahil Suneja, Pavithra Ranganathan, Raghu K. Ganti, Mudhakar Srivatsa:
Accelerating Production LLMs with Combined Token/Embedding Speculators. CoRR abs/2404.19124 (2024) - Shengye Wan, Joshua Saxe, Craig Gomes, Sahana Chennabasappa, Avilash Rath, Kun Sun, Xinda Wang:
Bridging the Gap: A Study of AI-based Vulnerability Management between Industry and Academia. CoRR abs/2405.02435 (2024) - Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik:
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. CoRR abs/2405.09783 (2024) - Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar:
DataComp-LM: In search of the next generation of training sets for language models. CoRR abs/2406.11794 (2024) - Michael Wornow, Avanika Narayan, Ben Viggiano, Ishan S. Khare, Tathagat Verma, Tibor Thompson, Miguel Angel Fuentes Hernandez, Sudharsan Sundar, Chloe Trujillo, Krrish Chawla, Rongfei Lu, Justin Shen, Divya Nagaraj, Joshua Martinez, Vardhan Agrawal, Althea Hudson, Nigam H. Shah, Christopher Ré:
Do Multimodal Foundation Models Understand Enterprise Workflows? A Benchmark for Business Process Management Tasks. CoRR abs/2406.13264 (2024)
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