Zobrazeno 1 - 10
of 3 922
pro vyhledávání: '"Tigges, A."'
Most currently deployed large language models (LLMs) undergo continuous training or additional finetuning. By contrast, most research into LLMs' internal mechanisms focuses on models at one snapshot in time (the end of pre-training), raising the ques
Externí odkaz:
http://arxiv.org/abs/2407.10827
This paper investigates the ability of transformer-based models to learn structural recursion from examples. Recursion is a universal concept in both natural and formal languages. Structural recursion is central to the programming language and formal
Externí odkaz:
http://arxiv.org/abs/2401.12947
Sentiment is a pervasive feature in natural language text, yet it is an open question how sentiment is represented within Large Language Models (LLMs). In this study, we reveal that across a range of models, sentiment is represented linearly: a singl
Externí odkaz:
http://arxiv.org/abs/2310.15154
Neural networks have in recent years shown promise for helping software engineers write programs and even formally verify them. While semantic information plays a crucial part in these processes, it remains unclear to what degree popular neural archi
Externí odkaz:
http://arxiv.org/abs/2305.14699
Autor:
Mika, Kevin, Griessl, René, Kucza, Nils, Porrmann, Florian, Kaiser, Martin, Tigges, Lennart, Hagemeyer, Jens, Trancoso, Pedro, Azhar, Muhammad Waqar, Qararyah, Fareed, Zouzoula, Stavroula, Ménétrey, Jämes, Pasin, Marcelo, Felber, Pascal, Marcus, Carina, Brunnegard, Oliver, Eriksson, Olof, Salomonsson, Hans, Ödman, Daniel, Ask, Andreas, Casimiro, Antonio, Bessani, Alysson, Carvalho, Tiago, Gugala, Karol, Zierhoffer, Piotr, Latosinski, Grzegorz, Tassemeier, Marco, Porrmann, Mario, Heyn, Hans-Martin, Knauss, Eric, Mao, Yufei, Meierhöfer, Franz
Publikováno v:
CF'23: 20th ACM International Conference on Computing Frontiers, May 2023, Bologna, Italy
The VEDLIoT project aims to develop energy-efficient Deep Learning methodologies for distributed Artificial Intelligence of Things (AIoT) applications. During our project, we propose a holistic approach that focuses on optimizing algorithms while add
Externí odkaz:
http://arxiv.org/abs/2305.05388
Autor:
Vivian Tran, Getulio Pereira de Oliveira‐Jr, Stephanie Chidester, Shulin Lu, Michelle L. Pleet, Alexander R. Ivanov, John Tigges, Moua Yang, Steven Jacobson, Maria C. B. Gonçalves, Alec A. Schmaier, Jennifer Jones, Ionita C. Ghiran
Publikováno v:
Journal of Extracellular Biology, Vol 3, Iss 10, Pp n/a-n/a (2024)
Abstract Circulating RNAs have been investigated systematically for over 20 years, both as constituents of circulating extracellular vesicles (EVs) or, more recently, non‐EV RNA carriers, such as exomeres and supermeres. The high level of variabili
Externí odkaz:
https://doaj.org/article/1cdbcbe5e5a74142981d1c2cec79397c
Autor:
James Kim, Shihan Xu, Seung‐Ryoung Jung, Alya Nguyen, Yuanhua Cheng, Mengxia Zhao, Bryant S. Fujimoto, Wyatt Nelson, Perry Schiro, Jeffrey L. Franklin, James N. Higginbotham, Robert J. Coffey, Min Shi, Lucia N. Vojtech, Florian Hladik, Muneesh Tewari, John Tigges, Ionita Ghiran, Tijana Jovanovic‐Talisman, Louise C. Laurent, Saumya Das, Olesia Gololobova, Kenneth W. Witwer, Tuoye Xu, Al Charest, Kendall Van Keuren Jensen, Robert L. Raffai, Jennifer C. Jones, Joshua A. Welsh, John P. Nolan, Daniel T. Chiu
Publikováno v:
Journal of Extracellular Vesicles, Vol 13, Iss 8, Pp n/a-n/a (2024)
Abstract High‐sensitivity flow cytometers have been developed for multi‐parameter characterization of single extracellular vesicles (EVs), but performance varies among instruments and calibration methods. Here we compare the characterization of i
Externí odkaz:
https://doaj.org/article/7ea6b425e4f14da5b65bb5379df9a944
Autor:
Denise L. Monti, Julia C. Gill, Tamarah L. Adair, Sandra D. Adams, Yesmi Patricia Ahumada-Santos, Isabel Amaya, Kirk Anders, Justin R. Anderson, Mauricio S. Antunes, Mary Ayuk, Frederick Baliraine, Tonya C. Bates, Andrea R. Beyer, Suparna Bhalla, Tejas Bouklas, Sharon K. Bullock, Kristen A. Butela, Christine Byrum, Steven M. Caruso, Rebecca Chong, Hui-Min Chung, Stephanie B. Conant, Brett Condon, Katie E. Crump, Tom D'Elia, Megan K. Dennis, Linda C. DeVeaux, Lautaro Diacovich, Arturo Diaz, Iain Duffy, Dustin Edwards, Patricia C. Fallest-Strobl, Ann Findley, Matthew R. Fisher, Marie P. Fogarty, Victoria Jane Frost, Maria D. Gainey, Courtney S. Galle, Bryan Gibb, Urszula Golebiewska, Hugo Gramajo, Anna S. Grinath, Jennifer Guerrero, Nancy Guild, Kathryn E. Gunn, Susan Gurney, Lee E. Hughes, Pradeepa Jayachandran, Kristen Johnson, Allison Johnson, Alison E. Kanak, Michelle L. Kanther, Rodney A. King, Kathryn Kohl, Julia Lee-Soety, Lynn O. Lewis, Heather Lindberg, Jaclyn A. Madden, Breonna J. Martin, Matthew D. Mastropaolo, Sean McClory, Evan C. Merkhofer, Julie A. Merkle, Jon Mitchell, María Alejandra Mussi, Fernando Nieto, Jillian Nissen, Imade Yolanda Nsa, Mary G. O'Donnell, R. Deborah Overath, Shallee T. Page, Andrea Panagakis, Jesús Ricardo Parra Unda, Michelle B. Pass, Tiara Perez Morales, Nick T. Peters, Ruth Plymale, Richard Pollenz, Nathan S. Reyna, Claire A. Rinehart, Jessica Rocheleau, John S. Rombold, Ombeline Rossier, Adam D. Rudner, Elizabeth E. Rueschhoff, Christopher D. Shaffer, Mary Ann V. Smith, Amy B. Sprenkle, C. Nicole Sunnen, Michael A. Thomas, Michelle M. Tigges, Deborah Tobiason, Sara Sybesma Tolsma, Julie Torruellas Garcia, Peter Uetz, Edwin Vazquez, Catherine M. Ward, Vassie C. Ware, Jacqueline M. Washington, Matthew J. Waterman, Daniel E. Westholm, Keith A. Wheaton, Simon J. White, Elizabeth C. Williams, Daniel C. Williams, Ellen M. Wisner, William H. Biederman, Steven G. Cresawn, Danielle M. Heller, Deborah Jacobs-Sera, Daniel A. Russell, Graham F. Hatfull, David J. Asai, David I. Hanauer, Mark J. Graham, Viknesh Sivanathan
Publikováno v:
Frontiers in Education, Vol 9 (2024)
Over the last two decades, there have been numerous initiatives to improve undergraduate student outcomes in STEM. One model for scalable reform is the inclusive Research Education Community (iREC). In an iREC, STEM faculty from colleges and universi
Externí odkaz:
https://doaj.org/article/f50dca97413047c5972e7d31f6d2f587
Autor:
Kaiser, Martin, Griessl, Rene, Kucza, Nils, Haumann, Carola, Tigges, Lennart, Mika, Kevin, Hagemeyer, Jens, Porrmann, Florian, Rückert, Ulrich, dem Berge, Micha vor, Krupop, Stefan., Porrmann, Mario, Tassemeier, Marco, Trancoso, Pedro, Quararyah, Fareed, Zouzoula, Stavroula, Casimiro, Antonio, Bessani, Alysson, Cecilio, Jose, Andersson, Stefan, Brunnegard, Oliver, Eriksson, Olof, Weiss, Roland, Meierhöfer, Franz, Salomonsson, Hans, Malekzadeh, Elaheh, Ödman, Daniel, Khurshid, Anum, Felber, Pascal, Pasin, Marcelo, Schiavoni, Valerio, Ménétrey, Jämes, Gugula, Karol, Zierhoffer, Piotr, Knauss, Eric, Heyn, Hans-Martin
Publikováno v:
DATE'22: Proceedings of the 25th Conference & Exhibition on Design, Automation & Test in Europe, March 2022, pp. 963-968
The VEDLIoT project targets the development of energy-efficient Deep Learning for distributed AIoT applications. A holistic approach is used to optimize algorithms while also dealing with safety and security challenges. The approach is based on a mod
Externí odkaz:
http://arxiv.org/abs/2207.00675
Autor:
Malm, William C., Schichtel, Bret A., Prenni, Anthony J., Day, Derek, Perkins, Russell J., Sullivan, Amy, Tigges, Mark
Publikováno v:
In Atmospheric Environment 15 November 2024 337