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Author search results
Exact matches
- Michael Riley 0001
aka: Michael D. Riley
Google Inc, New York, USA - Michael Riley 0002
University of Southampton, Business Engineering Group, Department of Civil Engineering, UK - Michael Riley 0003
Victoria University of Wellington, School of Engineering and Computer Science, New Zealand - Michael Riley 0004
Georgia Institute of Technology, Information and Communications Laboratory, Atlanta, GA, USA - Michael Riley 0005
Oracle, London, UK - show all
Likely matches
- Michael A. Riley
University of Cincinnati, Department of Psychology, OH, USA - Michael W. Riley
University of Nebraska-Lincoln, Department of Industrial and Management Systems Engineering, NE, USA
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Publication search results
found 225 matches
- 2024
- Steven M. Goodman, Erin Buehler, Patrick Clary, Andy Coenen, Aaron Donsbach, Tiffanie N. Horne, Michal Lahav, Robert MacDonald, Rain Breaw Michaels, Ajit Narayanan, Mahima Pushkarna, Joel Riley, Alex Santana, Lei Shi, Rachel Sweeney, Phil Weaver, Ann Yuan, Meredith Ringel Morris:
LaMPost: AI Writing Assistance for Adults with Dyslexia Using Large Language Models. Commun. ACM 67(9): 80-89 (2024) - Lois Curfman McInnes, Michael A. Heroux, David E. Bernholdt, Anshu Dubey, Elsa Gonsiorowski, Rinku Gupta, Osni Marques, J. David Moulton, Hai Ah Nam, Boyana Norris, Elaine M. Raybourn, James M. Willenbring, Ann S. Almgren, Roscoe A. Bartlett, Kita Cranfill, Stephen Fickas, Don Frederick, William F. Godoy, Patricia A. Grubel, Rebecca Hartman-Baker, Axel Huebl, Rose Lynch, Addi Malviya-Thakur, Reed Milewicz, Mark C. Miller, Miranda Mundt, Erik Palmer, Suzanne Parete-Koon, Megan Phinney, Katherine Riley, David M. Rogers, Benjamin H. Sims, Deborah Stevens, Gregory R. Watson:
A Cast of Thousands: How the IDEAS Productivity Project Has Advanced Software Productivity and Sustainability. Comput. Sci. Eng. 26(1): 48-60 (2024) - Michael S. Vitevitch, Alysia E. Martinez, Riley England:
Defining Nodes and Edges in Other Languages in Cognitive Network Science - Moving beyond Single-Layer Networks. Inf. 15(7): 401 (2024) - Erika Rasnick Manning, Qing Duan, Stuart Taylor, Sarah Ray, Alexandra M. S. Corley, Joseph Michael, Ryan Gillette, Ndidi Unaka, David Hartley, Andrew F. Beck, Cole Brokamp, Chidiogo Anyigbo, Lori Crosby, Magdely Diaz de Leon, John Egbo, Ben Foley, Adrienne Henize, Margaret Jones, Nana-Hawa Yayah Jones, Robert Kahn, Landon Krantz, Lauren Lipps, Alexandra Power-Hayes, Charles Quinn, Elizabeth Quinonez, Carley Riley, Laura Sandoval, Lisa Shook, Jeffrey Steller:
Development of a multimodal geomarker pipeline to assess the impact of social, economic, and environmental factors on pediatric health outcomes. J. Am. Medical Informatics Assoc. 31(7): 1471-1478 (2024) - Chenguang Liu, Jianjun Chen, Yunfei Chen, Ryan Payton, Michael Riley, Shuang-Hua Yang:
Self-Supervised Adaptive Weighting for Cooperative Perception in V2V Communications. IEEE Trans. Intell. Veh. 9(2): 3569-3580 (2024) - Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle &Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. AIED (1) 2024: 75-90 - Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: From Lesson Text to Conversational Tutoring. L@S 2024: 547-549 - Michael Smith, Antonio Torres-Agüero, Riley Grossman, Pritam Sen, Yi Chen, Cristian Borcea:
A Study of GDPR Compliance under the Transparency and Consent Framework. WWW 2024: 1227-1236 - Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni, Michael Riley, Sanjiv Kumar, Adrian Benton:
Towards Fast Inference: Exploring and Improving Blockwise Parallel Drafts. CoRR abs/2404.09221 (2024) - Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. CoRR abs/2404.17460 (2024) - 2023
- Harel Biggie, Eugene R. Rush, Danny G. Riley, Shakeeb Ahmad, Michael Ohradzansky, Kyle Harlow, Michael J. Miles, Daniel Torres, Steve McGuire, Eric W. Frew, Christoffer Heckman, James Sean Humbert:
Flexible Supervised Autonomy for Exploration in Subterranean Environments. Field Robotics 3(1): 125-189 (2023) - Chenguang Liu, Yunfei Chen, Jianjun Chen, Ryan Payton, Michael Riley, Shuang-Hua Yang:
Cooperative Perception With Learning-Based V2V Communications. IEEE Wirel. Commun. Lett. 12(11): 1831-1835 (2023) - Tongzhou Chen, Cyril Allauzen, Yinghui Huang, Daniel S. Park, David Rybach, W. Ronny Huang, Rodrigo Cabrera, Kartik Audhkhasi, Bhuvana Ramabhadran, Pedro J. Moreno, Michael Riley:
Large-Scale Language Model Rescoring on Long-Form Data. ICASSP 2023: 1-5 - Ehsan Variani, Ke Wu, David Rybach, Cyril Allauzen, Michael Riley:
Alignment Entropy Regularization. ICASSP 2023: 1-5 - Ke Wu, Ehsan Variani, Tom Bagby, Michael Riley:
Last: Scalable Lattice-Based Speech Modelling in Jax. ICASSP 2023: 1-5 - Riley Culberg, Roger J. Michaelides:
Towards Coherent Change Detection for Ice Sheet Near-Surface Process Studies with Airborne Ice-Penetrating Radar. IGARSS 2023: 7800-7803 - Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky:
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. KDD 2023: 3737-3749 - Harel Biggie, Eugene R. Rush, Danny G. Riley, Shakeeb Ahmad, Michael T. Ohradzansky, Kyle Harlow, Michael J. Miles, Daniel Torres, Steve McGuire, Eric W. Frew, Christoffer Heckman, J. Sean Humbert:
Flexible Supervised Autonomy for Exploration in Subterranean Environments. CoRR abs/2301.00771 (2023) - Riley Murray, James Demmel, Michael W. Mahoney, N. Benjamin Erichson, Maksim Melnichenko, Osman Asif Malik, Laura Grigori, Piotr Luszczek, Michal Derezinski, Miles E. Lopes, Tianyu Liang, Hengrui Luo, Jack J. Dongarra:
Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software. CoRR abs/2302.11474 (2023) - Ke Wu, Ehsan Variani, Tom Bagby, Michael Riley:
LAST: Scalable Lattice-Based Speech Modelling in JAX. CoRR abs/2304.13134 (2023) - Tongzhou Chen, Cyril Allauzen, Yinghui Huang, Daniel S. Park, David Rybach, W. Ronny Huang, Rodrigo Cabrera, Kartik Audhkhasi, Bhuvana Ramabhadran, Pedro J. Moreno, Michael Riley:
Large-scale Language Model Rescoring on Long-form Data. CoRR abs/2306.08133 (2023) - Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky:
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. CoRR abs/2307.00135 (2023) - Younghyun Cho, James Weldon Demmel, Michal Derezinski, Haoyun Li, Hengrui Luo, Michael W. Mahoney, Riley J. Murray:
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems. CoRR abs/2308.15720 (2023) - Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems. CoRR abs/2310.01420 (2023) - Lois Curfman McInnes, Michael A. Heroux, David E. Bernholdt, Anshu Dubey, Elsa Gonsiorowski, Rinku Gupta, Osni Marques, J. David Moulton, Hai Ah Nam, Boyana Norris, Elaine M. Raybourn, James M. Willenbring, Ann S. Almgren, Ross Bartlett, Kita Cranfill, Stephen Fickas, Don Frederick, William F. Godoy, Patricia Grubel, Rebecca Hartman-Baker, Axel Huebl, Rose Lynch, Addi Malviya-Thakur, Reed Milewicz, Mark C. Miller, Miranda Mundt, Erik Palmer, Suzanne Parete-Koon, Megan Phinney, Katherine Riley, David M. Rogers, Benjamin H. Sims, Deborah Stevens, Gregory R. Watson:
A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability. CoRR abs/2311.02010 (2023) - Maksim Melnichenko, Oleg Balabanov, Riley Murray, James Demmel, Michael W. Mahoney, Piotr Luszczek:
CholeskyQR with Randomization and Pivoting for Tall Matrices (CQRRPT). CoRR abs/2311.08316 (2023) - Chenguang Liu, Yunfei Chen, Jianjun Chen, Ryan Payton, Michael Riley, Shuang-Hua Yang:
Cooperative Perception with Learning-Based V2V communications. CoRR abs/2311.10336 (2023) - Marc Lipsitch, Mary T. Bassett, John S. Brownstein, Paul Elliott, David Eyre, M. Kate Grabowski, James A. Hay, Michael A. Johansson, Stephen M. Kissler, Daniel B. Larremore, Jennifer Layden, Justin Lessler, Ruth Lynfield, Duncan MacCannell, Lawrence C. Madoff, C. Jessica E. Metcalf, Lauren Ancel Meyers, Sylvia K. Ofori, Celia Quinn, Ana I. Ramos Bento, Nick Reich, Steven Riley, Roni Rosenfeld, Matthew H. Samore, Rangarajan Sampath, Rachel B. Slayton, David L. Swerdlow, Shaun Truelove, Jay K. Varma, Yonatan H. Grad:
Infectious disease surveillance needs for the United States: lessons from COVID-19. CoRR abs/2311.13724 (2023) - Chenguang Liu, Jianjun Chen, Yunfei Chen, Ryan Payton, Michael Riley, Shuang-Hua Yang:
Self-supervised Adaptive Weighting for Cooperative Perception in V2V Communications. CoRR abs/2312.10342 (2023) - 2022
- Sergio E. Baranzini, Katy Börner, John H. Morris, Charlotte A. Nelson, Karthik Soman, Erica Schleimer, Michael J. Keiser, Mark A. Musen, Roger Pearce, Tahsin Reza, Brett Smith, Bruce William Herr II, Boris Oskotsky, Angela Rizk-Jackson, Katherine P. Rankin, Stephan J. Sanders, Riley Bove, Peter W. Rose, Sharat Israni, Sui Huang:
A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology. AI Mag. 43(1): 46-58 (2022)
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