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Publication search results
found 178 matches
- 2024
- Navid Mohammadian, Altug Didikoglu, Christopher Beach, Paul Wright, Joshua W. Mouland, Franck P. Martial, Sheena Johnson, Martie van Tongeren, Timothy M. Brown, Robert J. Lucas, Alexander J. Casson:
A Wrist-Worn Internet of Things Sensor Node for Wearable Equivalent Daylight Illuminance Monitoring. IEEE Internet Things J. 11(9): 16148-16157 (2024) - Jan Stepánek, Juan Maria Farina, Ahmed K. Mahmoud, Chieh-Ju Chao, Said Alsidawi, Chadi Ayoub, Timothy Barry, Milagros Pereyra, Isabel G. Scalia, Mohammed Tiseer Abbas, Rachel E. Wraith, Lisa S. Brown, Michael S. Radavich, Pamela J. Curtisi, Patricia C. Hartzendorf, Elizabeth M. Lasota, Kyley N. Umetsu, Jill M. Peterson, Kristin E. Karlson, Karen Breznak, David F. Fortuin, Steven J. Lester, Reza Arsanjani:
Identifying the Causes of Unexplained Dyspnea at High Altitude Using Normobaric Hypoxia with Echocardiography. J. Imaging 10(2): 38 (2024) - Axel Browne, David Butts, Edgar Jaramillo-Rodriguez, Nidhi Parikh, Geoffrey Fairchild, Zach Needell, Cristian Poliziani, Tom Wenzel, Timothy C. Germann, Sara Y. Del Valle:
Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure. Soc. Networks 79: 122-132 (2024) - Janusz A. Murakowski, Amjed Hallak, Andrew Mercante, Mathew Zablocki, Timothy Creazzo, Shouyuan Shi, Kevin Shreve, Matthew Gallion, Connor Creavin, Charles Harrity, Michael Gehl, Mehmet Ogut, Shannon T. Brown, Sidharth Misra, Pekka Kangaslahti, Eric Kittlaus, Dennis W. Prather:
Ultra-Wideband RF-Photonics Technology for Microwave Spectrometry. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 16100-16107 (2024) - Jingxuan Tu, Timothy Obiso, Bingyang Ye, Kyeongmin Rim, Keer Xu, Liulu Yue, Susan Windisch Brown, Martha Palmer, James Pustejovsky:
GLAMR: Augmenting AMR with GL-VerbNet Event Structure. LREC/COLING 2024: 7746-7759 - Mark Klaisoongnoen, Nick Brown, Tim Dykes, Jessica R. Jones, Utz-Uwe Haus:
Evaluating Versal AI Engines for Option Price Discovery in Market Risk Analysis. FPGA 2024: 176-182 - Mark Klaisoongnoen, Nick Brown, Tim Dykes, Jessica R. Jones, Utz-Uwe Haus:
Evaluating Versal AI Engines for option price discovery in market risk analysis. CoRR abs/2402.12111 (2024) - SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young:
Scaling Instructable Agents Across Many Simulated Worlds. CoRR abs/2404.10179 (2024) - 2023
- Chris Schwarz, Omar Ahmad, Timothy L. Brown, John G. Gaspar, Gregory Wagner, Daniel V. McGehee:
The Long and Winding Road: 25 Years of the National Advanced Driving Simulator. IEEE Computer Graphics and Applications 43(4): 121-128 (2023) - Ethan Perez, Sam Ringer, Kamile Lukosiute, Karina Nguyen, Edwin Chen, Scott Heiner, Craig Pettit, Catherine Olsson, Sandipan Kundu, Saurav Kadavath, Andy Jones, Anna Chen, Benjamin Mann, Brian Israel, Bryan Seethor, Cameron McKinnon, Christopher Olah, Da Yan, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Guro Khundadze, Jackson Kernion, James Landis, Jamie Kerr, Jared Mueller, Jeeyoon Hyun, Joshua Landau, Kamal Ndousse, Landon Goldberg, Liane Lovitt, Martin Lucas, Michael Sellitto, Miranda Zhang, Neerav Kingsland, Nelson Elhage, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robin Larson, Sam McCandlish, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Jack Clark, Samuel R. Bowman, Amanda Askell, Roger Grosse, Danny Hernandez, Deep Ganguli, Evan Hubinger, Nicholas Schiefer, Jared Kaplan:
Discovering Language Model Behaviors with Model-Written Evaluations. ACL (Findings) 2023: 13387-13434 - Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael L. Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein:
Prospective Learning: Principled Extrapolation to the Future. CoLLAs 2023: 347-357 - Charles Godfrey, Henry Kvinge, Elise Bishoff, Myles Mckay, Davis Brown, Tim Doster, Eleanor Byler:
How many dimensions are required to find an adversarial example? CVPR Workshops 2023: 2353-2360 - Gabriel Rodriguez-Canal, Nick Brown, Tim Dykes, Jessica R. Jones, Utz-Uwe Haus:
Fortran High-Level Synthesis: Reducing the Barriers to Accelerating HPC Codes on FPGAs. FPL 2023: 10-18 - Deep Ganguli, Amanda Askell, Nicholas Schiefer, Thomas I. Liao, Kamile Lukosiute, Anna Chen, Anna Goldie, Azalia Mirhoseini, Catherine Olsson, Danny Hernandez, Dawn Drain, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jackson Kernion, Jamie Kerr, Jared Mueller, Joshua Landau, Kamal Ndousse, Karina Nguyen, Liane Lovitt, Michael Sellitto, Nelson Elhage, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robert Lasenby, Robin Larson, Sam Ringer, Sandipan Kundu, Saurav Kadavath, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, Christopher Olah, Jack Clark, Samuel R. Bowman, Jared Kaplan:
The Capacity for Moral Self-Correction in Large Language Models. CoRR abs/2302.07459 (2023) - Konstantinos Iordanou, Timothy Atkinson, Emre Ozer, Jedrzej Kufel, John Biggs, Gavin Brown, Mikel Luján:
Tiny Classifier Circuits: Evolving Accelerators for Tabular Data. CoRR abs/2303.00031 (2023) - Charles Godfrey, Henry Kvinge, Elise Bishoff, Myles Mckay, Davis Brown, Tim Doster, Eleanor Byler:
How many dimensions are required to find an adversarial example? CoRR abs/2303.14173 (2023) - Gabriel Rodriguez-Canal, Nick Brown, Tim Dykes, Jessica R. Jones, Utz-Uwe Haus:
Fortran High-Level Synthesis: Reducing the barriers to accelerating HPC codes on FPGAs. CoRR abs/2308.13274 (2023) - Ian Lundberg, Rachel Brown-Weinstock, Susan Clampet-Lundquist, Sarah Pachman, Timothy J. Nelson, Vicki Yang, Kathryn Edin, Matthew J. Salganik:
The origins of unpredictability in life trajectory prediction tasks. CoRR abs/2310.12871 (2023) - 2022
- Smitha Ganeshan, Logan Pierce, Michelle Mourad, Timothy J. Judson, Marc D. Kohli, Anobel Y. Odisho, William Brown:
Impact of patient portal-based self-scheduling of diagnostic imaging studies on health disparities. J. Am. Medical Informatics Assoc. 29(12): 2096-2100 (2022) - Timothy G. Williams, Daniel G. Brown, Seth D. Guikema, Tom M. Logan, Nicholas R. Magliocca, Birgit Müller, Cara E. Steger:
Integrating Equity Considerations into Agent-Based Modeling: A Conceptual Framework and Practical Guidance. J. Artif. Soc. Soc. Simul. 25(3) (2022) - Timothy Cholko, Shivansh Kaushik, Kingsley Y. Wu, Ruben Montes, Chia-en A. Chang:
GeomBD3: Brownian Dynamics Simulation Software for Biological and Engineered Systems. J. Chem. Inf. Model. 62(10): 2257-2263 (2022) - Timothy A. Westwood, Blaise Delmotte, Eric E. Keaveny:
A generalised drift-correcting time integration scheme for Brownian suspensions of rigid particles with arbitrary shape. J. Comput. Phys. 467: 111437 (2022) - Vikram Kamath Cannanure, Eloísa Ávila-Uribe, Tricia Ngoon, Yves Thierry Adji, Sharon Wolf, Kaja Jasinska, Timothy X. Brown, Amy Ogan:
"We dream of climbing the ladder; to get there, we have to do our job better": Designing for Teacher Aspirations in rural Côte d'Ivoire. COMPASS 2022: 122-138 - Andrew Brown, Tim Todman, Wayne Luk, David B. Thomas, Mark Vousden, Graeme M. Bragg, Jonny Beaumont, Simon W. Moore, Alex Yakovlev, Ashur Rafiev:
Non-deterministic event brokered computing. HEART 2022: 84-86 - Eric Burdett, Stanley Fujimoto, Timothy Brown, Ammon Shurtz, Daniel Segrera, Lawry Sorenson, Mark J. Clement, Joseph Price:
Active Transfer Learning for Handwriting Recognition. ICFHR 2022: 245-258 - Lance Long, Timothy Bargo, Luc Renambot, Maxine D. Brown, Andrew E. Johnson:
Composable Infrastructures for an Academic Research Environment: Lessons Learned. IPDPS Workshops 2022: 1209-1214 - Joshua H. Seaton, Sena Hounsinou, Timothy Wood, Shouhuai Xu, Philip N. Brown, Gedare Bloom:
Poster: Toward Zero-Trust Path-Aware Access Control. SACMAT 2022: 267-269 - Yingbo Ma, Julianna Martinez Ruiz, Timothy D. Brown, Kiana-Alize Diaz, Adam M. Gaweda, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Eric N. Wiebe:
It's Challenging but Doable: Lessons Learned from a Remote Collaborative Coding Camp for Elementary Students. SIGCSE (1) 2022: 342-348 - Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael L. Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang:
Prospective Learning: Back to the Future. CoRR abs/2201.07372 (2022) - Samuel R. Bowman, Jeeyoon Hyun, Ethan Perez, Edwin Chen, Craig Pettit, Scott Heiner, Kamile Lukosiute, Amanda Askell, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, Christopher Olah, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Jackson Kernion, Jamie Kerr, Jared Mueller, Jeffrey Ladish, Joshua Landau, Kamal Ndousse, Liane Lovitt, Nelson Elhage, Nicholas Schiefer, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Robin Larson, Sam McCandlish, Sandipan Kundu, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Ben Mann, Jared Kaplan:
Measuring Progress on Scalable Oversight for Large Language Models. CoRR abs/2211.03540 (2022)
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