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Publication search results
found 55 matches
- 2023
- Jennifer D. Bragger, Lauren N. Hunt, Rachel Helisch, Zuzanna Myszko, Lucas Kozas, Katherine Parlitsis, Fayza Abbasi, Shania Morales, Jahniya Stone-Taylor, Laura Lakusta:
Adults' Event Representations: Categorizing Servant Leadership. CogSci 2023 - James Brock, Lauren Provost, Rylee Stone, Stephen Padnos, Stephen Taylor, Jason Dahlstrom:
Dynamic, Real-Time Analysis, Patching and Protection of Vehicle System Binaries. MILCOM 2023: 679-684 - Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin:
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR abs/2306.16740 (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) - 2022
- Taylor C. Hansen, Abigail R. Citterman
, Eric S. Stone, Troy N. Tully, Christopher M. Baschuk
, Christopher C. Duncan, Jacob A. George
:
A Multi-User Transradial Functional-Test Socket for Validation of New Myoelectric Prosthetic Control Strategies. Frontiers Neurorobotics 16 (2022) - Michael A. Erskine
, Stoney Brooks, Christina DiValentin, Taylor Kendal:
Applying a Structured Industry Model Development Process to Support Digital Transformation Efforts: A Case Study of the Online Learning Industry. J. Electron. Commer. Organ. 20(1): 1-16 (2022) - Taylor L. Watterson
, Jamie A. Stone, Aaron Gilson, Roger Brown, Ka Z. Xiong, Anthony Schiefelbein, Edmond Ramly, Peter C. Kleinschmidt, Michael G. Semanik, Lauren Craddock, Samantha I. Pitts, Taylor Woodroof, Michelle A. Chui:
Impact of CancelRx on discontinuation of controlled substance prescriptions: an interrupted time series analysis. BMC Medical Informatics Decis. Mak. 22(1): 50 (2022) - Yunshu Du
, Garrett Warnell, Assefaw H. Gebremedhin, Peter Stone, Matthew E. Taylor:
Lucid dreaming for experience replay: refreshing past states with the current policy. Neural Comput. Appl. 34(3): 1687-1712 (2022) - Jonathan Sinclair
, Paul John Taylor
, Gareth Shadwell, Mark Stone, Nicole Booth, Bryan Jones, Sam Finlay, Ashraf Mohamed Ali, Bobbie Butters, Ian Bentley, Christopher James Edmundson:
Two-Experiment Examination of Habitual and Manipulated Foot Placement Angles on the Kinetics, Kinematics, and Muscle Forces of the Barbell Back Squat in Male Lifters. Sensors 22(18): 6999 (2022) - Timo T. Stomberg
, Taylor Stone, Johannes Leonhardt, Ribana Roscher:
Exploring Wilderness Using Explainable Machine Learning in Satellite Imagery. CoRR abs/2203.00379 (2022) - Hager Radi, Josiah P. Hanna, Peter Stone, Matthew E. Taylor:
Safe Evaluation For Offline Learning: Are We Ready To Deploy? CoRR abs/2212.08302 (2022) - 2021
- Taylor L. Watterson
, Jamie A. Stone, Roger Brown, Ka Z. Xiong, Anthony Schiefelbein, Edmond Ramly, Peter C. Kleinschmidt, Michael G. Semanik, Lauren Craddock, Samantha I. Pitts
, Taylor Woodroof, Michelle A. Chui:
CancelRx: a health IT tool to reduce medication discrepancies in the outpatient setting. J. Am. Medical Informatics Assoc. 28(7): 1526-1533 (2021) - Jason Hussey, Ethan Taylor, Kerri Stone, Tracy Camp:
Poster: Data Collection for ML Classification of Encrypted Messaging Applications. ICNP 2021: 1-2 - 2020
- Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone:
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. J. Mach. Learn. Res. 21: 181:1-181:50 (2020) - Stuart Mumford
, Nabil Freij
, Steven Christe, Jack Ireland, Florian Mayer, V. Keith Hughitt
, Albert J. Shih
, Daniel Ryan
, Simon Liedtke, David Pérez-Suárez
, Pritish Chakraborty, Vishnunarayan K, Andrew Inglis, Punyaslok Pattnaik, Brigitta M. Sipocz
, Rishabh Sharma, Andrew Leonard, David Stansby
, Russell J. Hewett, Alex Hamilton, Laura Hayes, Asish Panda, Matt Earnshaw, Nitin Choudhary, Ankit Kumar, Prateek Chanda, Md. Akramul Haque, Michael Kirk, Michael Mueller, Sudarshan Konge, Rajul Srivastava, Yash Jain, Samuel Bennett, Ankit Baruah, Will T. Barnes
, Michael Charlton, Shane A. Maloney
, Nicky Chorley, Himanshu, Sanskar Modi, James Mason, Jose Rozo, Larry Manley, Agneet Chatterjee, John Evans, Michael Malocha, Monica G. Bobra
, Sourav Ghosh, Dominik Stanczak, Ruben De Visscher, Shresth Verma, Ankit Agrawal, Dumindu Buddhika, Swapnil Sharma, Jongyeob Park, Matt Bates, Dhruv Goel, Garrison Taylor, Goran Cetusic, Jacob, Mateo Inchaurrandieta, Sally Dacie, Sanjeev Dubey, Deepankar Sharma, Erik Bray, Jai Rideout, Serge Zahniy, Tomas Meszaros, Abhigyan Bose, André Chicrala, Ankit, Chloé Guennou, Daniel D'avella, Daniel Williams, Jordan Ballew, Nick Murphy
, Priyank Lodha, Thomas Robitaille, Yash Krishan, Andrew Hill, Arthur Eigenbrot, Benjamin Mampaey, Bernhard Wiedemann, Carlos Molina
, Duygu Keskek, Ishtyaq Habib, Joseph Letts
, Juanjo Bazán
, Quinn Arbolante, Reid Gomillion, Yash Kothari, Yash Sharma, Abigail Stevens
, Adrian M. Price-Whelan, Ambar Mehrotra, Arseniy Kustov, Brandon Stone, Trung Dang
, Emmanuel Arias, Fionnlagh Dover, Freek Verstringe, Gulshan Kumar, Harsh Mathur
, Igor Babuschkin, Jaylen Wimbish, Juan Buitrago-Casas, Kalpesh Krishna, Kaustubh Hiware, Manas Mangaonkar, Matthew Mendero, Mickaël Schoentgen, Norbert Gyenge, Ole Streicher, Rajasekhar Mekala, Rishabh Mishra, Shashank Srikanth, Sarthak Jain, Tannmay Yadav, Tessa Wilkinson, Tiago Pereira
, Yudhik Agrawal, Jamescalixto, Yasintoda, Sophie Murray:
SunPy: A Python package for Solar Physics. J. Open Source Softw. 5(46): 1832 (2020) - Ryan L. Collins
, Harrison Brand, Konrad J. Karczewski, Xuefang Zhao, Jessica Alföldi, Laurent C. Francioli, Amit V. Khera, Chelsea Lowther, Laura D. Gauthier, Harold Wang, Nicholas A. Watts, Matthew Solomonson, Alexander Baumann, Ruchi Munshi, Mark Walker, Christopher W. Whelan, Yongqing Huang, Ted Brookings, Ted Sharpe, Matthew R. Stone, Elise Valkanas, Jack Fu, Grace Tiao, Kristen M. Laricchia, Valentín Ruano-Rubio, Christine Stevens, Namrata Gupta, Caroline Cusick, Lauren Margolin, Irina M. Armean
, Eric Banks, Louis Bergelson, Kristian Cibulskis, Kristen M. Connolly, Miguel Covarrubias, Beryl B. Cummings, Mark J. Daly, Stacey Donnelly, Yossi Farjoun, Steven Ferriera, Stacey Gabriel, Jeff Gentry, Thibault Jeandet, Diane Kaplan, Christopher Llanwarne, Eric V. Minikel, Benjamin M. Neale, Sam Novod, Anne H. O'Donnell-Luria, Nikelle Petrillo, Timothy Poterba, David Roazen, Andrea Saltzman, Kaitlin E. Samocha, Molly Schleicher, Cotton Seed, José Soto, Kathleen Tibbetts, Charlotte Tolonen, Christopher Vittal, Gordon Wade, Arcturus Wang, Qingbo Wang, James S. Ware
, Ben Weisburd, Nicola Whiffin, Carlos A. Aguilar Salinas, Tariq Ahmad, Christine M. Albert, Diego Ardissino, Gil Atzmon, John Barnard, Laurent Beaugerie, Emelia J. Benjamin, Michael Boehnke, Lori L. Bonnycastle, Erwin P. Bottinger, Donald W. Bowden, Matthew J. Bown, John C. Chambers, Juliana C. Chan, Daniel Chasman, Judy Cho, Mina K. Chung, Bruce Cohen, Adolfo Correa, Dana Dabelea, Dawood Darbar, Ravindranath Duggirala, Josée Dupuis, Patrick T. Ellinor, Roberto Elosua, Jeanette Erdmann
, Tõnu Esko, Martti Färkkilä, Jose Florez, Andre Franke, Gad Getz, Benjamin Glaser, Stephen J. Glatt, David Goldstein, Clicerio Gonzalez, Leif Groop, Christopher A. Haiman, Craig Hanis, Matthew Harms, Mikko Hiltunen, Matti M. Holi, Christina M. Hultman, Mikko Kallela, Jaakko Kaprio
, Sekar Kathiresan, Bong-Jo Kim, Young Jin Kim, George Kirov, Jaspal Kooner, Seppo Koskinen, Harlan M. Krumholz, Subra Kugathasan, Soo Heon Kwak, Markku Laakso, Terho Lehtimäki, Ruth J. F. Loos, Steven A. Lubitz, Ronald C. W. Ma, Daniel G. MacArthur, Jaume Marrugat, Kari M. Mattila, Steven A. McCarroll, Mark I. McCarthy, Dermot McGovern, Ruth McPherson, James B. Meigs, Olle Melander, Andres Metspalu, Peter M. Nilsson, Michael C. O'Donovan, Dost Öngür, Lorena Orozco, Michael J. Owen, Colin N. A. Palmer, Aarno Palotie, Kyong Soo Park, Carlos Pato, Ann E. Pulver, Nazneen Rahman, Anne M. Remes, John D. Rioux, Samuli Ripatti, Dan M. Roden, Danish Saleheen, Veikko Salomaa, Nilesh J. Samani, Jeremiah Scharf, Heribert Schunkert, Moore B. Shoemaker, Pamela Sklar, Hilkka Soininen, Harry Sokol, Tim Spector, Patrick F. Sullivan, Jaana Suvisaari, E. Shyong Tai
, Yik Ying Teo, Tuomi Tiinamaija, Ming Tsuang, Dan Turner, Teresa Tusie-Luna, Erkki Vartiainen, Hugh Watkins, Rinse K. Weersma, Maija Wessman, James G. Wilson, Ramnik J. Xavier, Kent D. Taylor, Henry J. Lin, Stephen S. Rich, Wendy S. Post, Yii-Der Ida Chen, Jerome I. Rotter, Chad Nusbaum, Anthony A. Philippakis, Eric S. Lander, Michael E. Talkowski:
A structural variation reference for medical and population genetics. Nat. 581(7809): 444-451 (2020) - Cindy L. Young, Constantine Lukashin, Patrick C. Taylor
, Rand Swanson, William S. Kirk, Michael Cooney, William H. Swartz
, Arnold Goldberg, Thomas Stone, Trevor Jackson, David R. Doelling, Joseph A. Shaw
, Christine Buleri:
Trutinor: A Conceptual Study for a Next-Generation Earth Radiant Energy Instrument. Remote. Sens. 12(20): 3281 (2020) - Taylor Stone, Filippo Santoni de Sio, Pieter E. Vermaas:
Driving in the Dark: Designing Autonomous Vehicles for Reducing Light Pollution. Sci. Eng. Ethics 26(1): 387-403 (2020) - Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone:
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. CoRR abs/2003.04960 (2020) - Yunshu Du, Garrett Warnell, Assefaw Hadish Gebremedhin, Peter Stone, Matthew E. Taylor:
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy. CoRR abs/2009.13736 (2020) - 2018
- Taylor Stone:
The Value of Darkness: A Moral Framework for Urban Nighttime Lighting. Sci. Eng. Ethics 24(2): 607-628 (2018) - 2014
- Daniel Kudenko:
Interview with Peter Stone and Matthew E. Taylor. Künstliche Intell. 28(1): 45-48 (2014) - 2012
- Ertu Unver
, Andrew Taylor:
Virtual Stonehenge Reconstruction. EuroMed 2012: 449-460 - 2011
- Matthew E. Taylor, Peter Stone:
An Introduction to Intertask Transfer for Reinforcement Learning. AI Mag. 32(1): 15-34 (2011) - Shimon Whiteson, Brian Tanner, Matthew E. Taylor
, Peter Stone:
Protecting against evaluation overfitting in empirical reinforcement learning. ADPRL 2011: 120-127 - Adam P. DeLuca
, Alex H. Wagner
, Kyle R. Taylor, Ben Faga, David Thole, Val C. Sheffield
, Edwin M. Stone
, Thomas L. Casavant, Todd E. Scheetz
, Terry A. Braun:
Sequencing and disease variation detection tools and techniques. AICCSA 2011: 80-83 - Paul Scerri, Balajee Kannan, Prasanna Velagapudi, Kate Macarthur, Peter Stone, Matthew E. Taylor
, John Dolan, Alessandro Farinelli
, Archie C. Chapman
, Bernadine Dias, George Kantor:
Flood Disaster Mitigation: A Real-World Challenge Problem for Multi-agent Unmanned Surface Vehicles. AAMAS Workshops 2011: 252-269 - 2010
- Shimon Whiteson, Matthew E. Taylor
, Peter Stone:
Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning. Auton. Agents Multi Agent Syst. 21(1): 1-35 (2010) - 2009
- Matthew E. Taylor, Peter Stone:
Transfer Learning for Reinforcement Learning Domains: A Survey. J. Mach. Learn. Res. 10: 1633-1685 (2009) - Andrej Bauer, Paul Taylor:
The Dedekind reals in abstract Stone duality. Math. Struct. Comput. Sci. 19(4): 757-838 (2009)
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