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Author search results
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- Christopher J. Taylor 0001
aka: Chris J. Taylor 0001
University of Manchester, Centre for Imaging - Christopher Taylor — disambiguation page
- Christopher M. Taylor
- Christopher Tay Meng Keat
aka: M. K. Tay
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Publication search results
found 658 matches
- 2024
- J. Harry Caufield, Harshad Hegde, Vincent Emonet, Nomi L. Harris, Marcin P. Joachimiak, Nicolas Matentzoglu, Hyeongsik Kim, Sierra A. T. Moxon, Justin T. Reese, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall:
Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning. Bioinform. 40(3) (2024) - Kathleen Feng, Taeyoung Kong, Kalhan Koul, Jackson Melchert, Alex Carsello, Qiaoyi Liu, Gedeon Nyengele, Maxwell Strange, Keyi Zhang, Ankita Nayak, Jeff Setter, James Thomas, Kavya Sreedhar, Po-Han Chen, Nikhil Bhagdikar, Zachary Myers, Brandon D'Agostino, Pranil Joshi, Stephen Richardson, Christopher Torng, Mark Horowitz, Priyanka Raina:
Amber: A 16-nm System-on-Chip With a Coarse- Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra. IEEE J. Solid State Circuits 59(3): 947-959 (2024) - Paul J. N. Brodersen, Hannah Alfonsa, Lukas B. Krone, Cristina Blanco-Duque, Angus S. Fisk, Sarah J. Flaherty, Mathilde C. C. Guillaumin, Yi-Ge Huang, Martin C. Kahn, Laura E. McKillop, Linus Milinski, Lewis Taylor, Christopher W. Thomas, Tomoko Yamagata, Russell G. Foster, Vladyslav V. Vyazovskiy, Colin J. Akerman:
Somnotate: A probabilistic sleep stage classifier for studying vigilance state transitions. PLoS Comput. Biol. 20(1) (2024) - Stan Lipovetsky:
Quantifying Counterfactual Military History Quantifying Counterfactual Military History Brennen Fagan, Ian Horwood, Niall MacKay, Christopher Price, and A. Jamie Wood, Boca Raton, FL: CRC Press/Taylor & Francis Group, Chapman & Hall Books, 2024, ix + 228 pp., $ 74.95 (hbk), ISBN 978-1-138-59452-4: Brennen Fagan, Ian Horwood, Niall MacKay, Christopher Price, and A. Jamie Wood, Boca Raton, FL: CRC Press/Taylor & Francis Group, Chapman & Hall Books, 2024, ix + 228 pp., $ 74.95 (hbk), ISBN 978-1-138-59452-4. Technometrics 66(2): 317-318 (2024) - Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L. Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi:
A Roadmap to Pluralistic Alignment. CoRR abs/2402.05070 (2024) - 2023
- David P. Bunde, Zack J. Butler, Christopher Lynnly Hovey, Cynthia Bagier Taylor:
Conversations: Conversations with a Prominent Propagator: Barbara Ericson. Inroads 14(1): 16-19 (2023) - David P. Bunde, Zack J. Butler, Christopher Lynnly Hovey, Cynthia Bagier Taylor:
CONVERSATIONS: Conversation with a Prominent Propagator: Frank Vahid. Inroads 14(2): 14-17 (2023) - David P. Bunde, Zack J. Butler, Christopher Lynnly Hovey, Cynthia Bagier Taylor:
CONVERSATIONS: Conversation with a Prominent Propagator: Carl Haynes-Magyar. Inroads 14(4): 12-16 (2023) - Andrew Franklin Johnson, Katherine J. Roberto, Christopher J. Hartwell, Jennifer F. Taylor:
A social media engagement framework for applicant attraction and retention: #SocialMediaCongruence. Online Inf. Rev. 47(1): 104-122 (2023) - Christopher Brix, Mark Niklas Müller, Stanley Bak, Taylor T. Johnson, Changliu Liu:
First three years of the international verification of neural networks competition (VNN-COMP). Int. J. Softw. Tools Technol. Transf. 25(3): 329-339 (2023) - Kalhan Koul, Jackson Melchert, Kavya Sreedhar, Leonard Truong, Gedeon Nyengele, Keyi Zhang, Qiaoyi Liu, Jeff Setter, Po-Han Chen, Yuchen Mei, Maxwell Strange, Ross Daly, Caleb Donovick, Alex Carsello, Taeyoung Kong, Kathleen Feng, Dillon Huff, Ankita Nayak, Rajsekhar Setaluri, James Thomas, Nikhil Bhagdikar, David Durst, Zachary Myers, Nestan Tsiskaridze, Stephen Richardson, Rick Bahr, Kayvon Fatahalian, Pat Hanrahan, Clark W. Barrett, Mark Horowitz, Christopher Torng, Fredrik Kjolstad, Priyanka Raina:
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers. ACM Trans. Embed. Comput. Syst. 22(2): 35:1-35:34 (2023) - Pengfeng Lin, Chao Deng, Yongheng Yang, Christopher H. T. Lee, Wee Peng Tay:
Resilience-Oriented Control for Cyber-Physical Hybrid Energy Storage Systems Using a Semiconsensus Scheme: Design and Practice. IEEE Trans. Ind. Electron. 70(3): 2508-2519 (2023) - Sayef Azad Sakin, Alex Bigelow, R. Tohid, Connor Scully-Allison, Carlos Scheidegger, Steven R. Brandt, Christopher Taylor, Kevin A. Huck, Hartmut Kaiser, Katherine E. Isaacs:
Traveler: Navigating Task Parallel Traces for Performance Analysis. IEEE Trans. Vis. Comput. Graph. 29(1): 788-797 (2023) - Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick:
Contrastive Attention Networks for Attribution of Early Modern Print. AAAI 2023: 5285-5293 - Lin Cheng, Max Ruttenberg, Dai Cheol Jung, Dustin Richmond, Michael B. Taylor, Mark Oskin, Christopher Batten:
Beyond Static Parallel Loops: Supporting Dynamic Task Parallelism on Manycore Architectures with Software-Managed Scratchpad Memories. ASPLOS (3) 2023: 46-58 - Max Taylor-Davies, Stephanie Droop, Chris Lucas:
Selective imitation on the basis of reward function similarity. CogSci 2023 - Kenneth Chaney, Fernando Cladera Ojeda, Ziyun Wang, Anthony Bisulco, M. Ani Hsieh, Christopher M. Korpela, Vijay Kumar, Camillo J. Taylor, Kostas Daniilidis:
M3ED: Multi-Robot, Multi-Sensor, Multi-Environment Event Dataset. CVPR Workshops 2023: 4016-4023 - Mia Taylor, Lata Kodali, Leanna House, Chris North:
Evaluating Differences in Insights from Interactive Dimensionality Reduction Visualizations Through Complexity and Vocabulary. VISIGRAPP (3: IVAPP) 2023: 158-165 - Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen:
Biologically Plausible Learning on Neuromorphic Hardware Architectures. MWSCAS 2023: 733-737 - Lora Aroyo, Alex S. Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang:
DICES Dataset: Diversity in Conversational AI Evaluation for Safety. NeurIPS 2023 - Sungduk Yu, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard:
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. NeurIPS 2023 - Patrick Diehl, Gregor Daiß, Steven R. Brandt, Alireza Kheirkhahan, Hartmut Kaiser, Christopher Taylor, John Leidel:
Evaluating HPX and Kokkos on RISC-V using an astrophysics application Octo-Tiger. SC Workshops 2023: 1533-1542 - Mark Taylor, Peter M. Caldwell, Luca Bertagna, Conrad Clevenger, Aaron Donahue, James G. Foucar, Oksana Guba, Benjamin R. Hillman, Noel Keen, Jayesh Krishna, Matthew R. Norman, Sarat Sreepathi, Christopher Terai, James B. White III, Andrew G. Salinger, Renata B. McCoy, Lai-yung Ruby Leung, David C. Bader, Danqing Wu:
The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System. SC 2023: 7:1-7:11 - Christopher Lynnly Hovey, David P. Bunde, Zack Butler, Cynthia Bagier Taylor:
How Do I Get People to Use My Ideas?: Lessons from Successful Innovators in CS Education. SIGCSE (1) 2023: 841-847 - Taeyoung Kong, Kalhan Koul, Priyanka Raina, Mark Horowitz, Christopher Torng:
Hardware Abstractions and Hardware Mechanisms to Support Multi-Task Execution on Coarse-Grained Reconfigurable Arrays. CoRR abs/2301.00861 (2023) - Christopher Brix, Mark Niklas Müller, Stanley Bak, Taylor T. Johnson, Changliu Liu:
First Three Years of the International Verification of Neural Networks Competition (VNN-COMP). CoRR abs/2301.05815 (2023) - Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang:
The Reasonable Effectiveness of Diverse Evaluation Data. CoRR abs/2301.09406 (2023) - J. Harry Caufield, Tim E. Putman, Kevin Schaper, Deepak R. Unni, Harshad Hegde, Tiffany J. Callahan, Luca Cappelletti, Sierra A. T. Moxon, Vida Ravanmehr, Seth Carbon, Lauren E. Chan, Katherina Cortes, Kent A. Shefchek, Glass Elsarboukh, James P. Balhoff, Tommaso Fontana, Nicolas Matentzoglu, Richard M. Bruskiewich, Anne E. Thessen, Nomi L. Harris, Monica C. Munoz-Torres, Melissa A. Haendel, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall, Justin T. Reese:
KG-Hub - Building and Exchanging Biological Knowledge Graphs. CoRR abs/2302.10800 (2023) - J. Harry Caufield, Harshad Hegde, Vincent Emonet, Nomi L. Harris, Marcin P. Joachimiak, Nicolas Matentzoglu, HyeongSik Kim, Sierra A. T. Moxon, Justin T. Reese, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall:
Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning. CoRR abs/2304.02711 (2023) - Max Taylor-Davies, Stephanie Droop, Christopher G. Lucas:
Selective imitation on the basis of reward function similarity. CoRR abs/2305.07421 (2023)
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