Zobrazeno 1 - 10
of 1 533
pro vyhledávání: '"Wang George"'
We introduce refined variants of the Local Learning Coefficient (LLC), a measure of model complexity grounded in singular learning theory, to study the development of internal structure in transformer language models during training. By applying thes
Externí odkaz:
http://arxiv.org/abs/2410.02984
Autor:
Wang, George C. P., Chapman, Scott C., Sulzenauer, Nikolaus, Bertoldi, Frank, Hayward, Christopher C., Hill, Ryley, Kikuta, Satoshi, Matsuda, Yuichi, Rennehan, Douglas, Scott, Douglas, Smail, Ian, Steidel, Charles C.
We present wide-field mapping at 850 $\mu$m and 450 $\mu$m of the $z$ = 2.85 protocluster in the HS1549$+$19 field using the Submillimetre Common User Bolometer Array 2 (SCUBA-2). Spectroscopic follow-up of 18 bright sources selected at 850 $\mu$m, u
Externí odkaz:
http://arxiv.org/abs/2406.16637
Autor:
Hoogland, Jesse, Wang, George, Farrugia-Roberts, Matthew, Carroll, Liam, Wei, Susan, Murfet, Daniel
We show that in-context learning emerges in transformers in discrete developmental stages, when they are trained on either language modeling or linear regression tasks. We introduce two methods for detecting the milestones that separate these stages,
Externí odkaz:
http://arxiv.org/abs/2402.02364
The Local Learning Coefficient (LLC) is introduced as a novel complexity measure for deep neural networks (DNNs). Recognizing the limitations of traditional complexity measures, the LLC leverages Singular Learning Theory (SLT), which has long recogni
Externí odkaz:
http://arxiv.org/abs/2308.12108
Autor:
Chapman, Scott C., Hill, Ryley, Aravena, Manuel, Archipley, Melanie, Babul, Arif, Burgoyne, James, Canning, Rebecca E. A., De Breuck, Carlos, Gonzalez, Anthony H., Hayward, Christopher C., Kim, Seon Woo, Malkan, Matt, Marrone, Dan P., McIntyre, Vincent, Murphy, Eric, Pass, Emily, Perry, Ryan W., Phadke, Kedar A., Rennehan, Douglas, Reuter, Cassie, Rotermund, Kaja M., Scott, Douglas, Seymour, Nick, Solimano, Manuel, Spilker, Justin, Stark, Anthony A., Sulzenauer, Nikolaus, Tothill, Nick, Vieira, Joaquin D., Vizgan, David, Wang, George, Weiss, Axel
We have observed the z=4.3 protocluster SPT2349-56 with ATCA with the aim of detecting radio-loud active galactic nuclei (AGN) amongst the ~30 submillimeter galaxies identified in the structure. We detect the central complex of SMGs at 2.2\,GHz with
Externí odkaz:
http://arxiv.org/abs/2301.01375
Autor:
Li, Tianjing, Wang, George Sam, Bero, Lisa, Brooks-Russell, Ashley, Tung, Gregory, Samet, Jonathan M. jon.samet@cuanschutz.edu
Publikováno v:
American Journal of Public Health. 2024 Suppl 8, Vol. 114, pS639-S644. 6p.
Publikováno v:
In Ocean Engineering 1 November 2024 311 Part 2
Autor:
Hill, Ryley, Chapman, Scott, Phadke, Kedar A., Aravena, Manuel, Archipley, Melanie, Ashby, Matthew L. N., Bethermin, Matthieu, Canning, Rebecca E. A., Gonzalez, Anthony, Greve, Thomas R., Gururajan, Gayathri, Hayward, Christopher C., Hezaveh, Yashar, Jarugula, Sreevani, MacIntyre, Duncan, Marrone, Daniel P., Miller, Tim, Rennehan, Douglas, Reuter, Cassie, Rotermund, Kaja, Scott, Douglas, Spilker, Justin, Vieira, Joaquin D., Wang, George, Weiss, Axel
Publikováno v:
MNRAS 512(3), 4352, 2022
The protocluster SPT2349$-$56 at $z\,{=}\,4.3$ contains one of the most actively star-forming cores known, yet constraints on the total stellar mass of this system are highly uncertain. We have therefore carried out deep optical and infrared observat
Externí odkaz:
http://arxiv.org/abs/2109.04534