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pro vyhledávání: '"Miles, P."'
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OpenAI, Hurst, Aaron, Lerer, Adam, Goucher, Adam P., Perelman, Adam, Ramesh, Aditya, Clark, Aidan, Ostrow, AJ, Welihinda, Akila, Hayes, Alan, Radford, Alec, Mądry, Aleksander, Baker-Whitcomb, Alex, Beutel, Alex, Borzunov, Alex, Carney, Alex, Chow, Alex, Kirillov, Alex, Nichol, Alex, Paino, Alex, Renzin, Alex, Passos, Alex Tachard, Kirillov, Alexander, Christakis, Alexi, Conneau, Alexis, Kamali, Ali, Jabri, Allan, Moyer, Allison, Tam, Allison, Crookes, Amadou, Tootoochian, Amin, Tootoonchian, Amin, Kumar, Ananya, Vallone, Andrea, Karpathy, Andrej, Braunstein, Andrew, Cann, Andrew, Codispoti, Andrew, Galu, Andrew, Kondrich, Andrew, Tulloch, Andrew, Mishchenko, Andrey, Baek, Angela, Jiang, Angela, Pelisse, Antoine, Woodford, Antonia, Gosalia, Anuj, Dhar, Arka, Pantuliano, Ashley, Nayak, Avi, Oliver, Avital, Zoph, Barret, Ghorbani, Behrooz, Leimberger, Ben, Rossen, Ben, Sokolowsky, Ben, Wang, Ben, Zweig, Benjamin, Hoover, Beth, Samic, Blake, McGrew, Bob, Spero, Bobby, Giertler, Bogo, 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GPT-4o is an autoregressive omni model that accepts as input any combination of text, audio, image, and video, and generates any combination of text, audio, and image outputs. It's trained end-to-end across text, vision, and audio, meaning all inputs
Externí odkaz:
http://arxiv.org/abs/2410.21276
We present improved approximation algorithms for some problems in the related areas of Flexible Graph Connectivity and Capacitated Network Design. In the $(p,q)$-Flexible Graph Connectivity problem, denoted $(p,q)$-FGC, the input is a graph $G(V, E)$
Externí odkaz:
http://arxiv.org/abs/2411.18809
Training large language models is a computationally intensive process that often requires substantial resources to achieve state-of-the-art results. Incremental layer-wise training has been proposed as a potential strategy to optimize the training pr
Externí odkaz:
http://arxiv.org/abs/2411.18700
Autor:
Pereira, C. L., Braga-Ribas, F., Sicardy, B., Morgado, B. E., Ortiz, J. L., Assafin, M., Miles, R., Desmars, J., Camargo, J. I. B., Benedetti-Rossi, G., Kretlow, M., Vieira-Martins, R.
Comets offer valuable insights into the early Solar System's conditions and processes. Stellar occultations enables detailed study of cometary nuclei typically hidden by their coma. Observing the star's light passing through the coma helps infer dust
Externí odkaz:
http://arxiv.org/abs/2411.16358
Autor:
Rowland, Melanie J., Morley, Caroline V., Miles, Brittany E., Suárez, Genaro, Faherty, Jacqueline K., Skemer, Andrew J., Beiler, Samuel A., Line, Michael R., Bjoraker, Gordon L., Fortney, Jonathan J., Vos, Johanna M., Merchan, Sherelyn Alejandro, Marley, Mark, Burningham, Ben, Freedman, Richard, Gharib-Nezhad, Ehsan, Batalha, Natasha, Lupu, Roxana, Visscher, Channon, Schneider, Adam C., Geballe, T. R., Carter, Aarynn, Allers, Katelyn, Mang, James, Apai, Dániel, Limbach, Mary Anne, Wilson, Mikayla J.
The coldest Y spectral type brown dwarfs are similar in mass and temperature to cool and warm ($\sim$200 -- 400 K) giant exoplanets. We can therefore use their atmospheres as proxies for planetary atmospheres, testing our understanding of physics and
Externí odkaz:
http://arxiv.org/abs/2411.14541
Autor:
Simon, Miles
In this paper we survey some results on Ricci flowing non-smooth initial data. Among other things, we give a non-exhaustive list of various weak initial data which can be evolved with the Ricci flow. We also survey results which show that various cur
Externí odkaz:
http://arxiv.org/abs/2411.13204
We introduce a dataset of natural-language questions in the decision theory of so-called Newcomb-like problems. Newcomb-like problems include, for instance, decision problems in which an agent interacts with a similar other agent, and thus has to rea
Externí odkaz:
http://arxiv.org/abs/2411.10588
Autor:
Tsoi, Ho Fung, Rankin, Dylan, Caillol, Cecile, Cranmer, Miles, Dasu, Sridhara, Duarte, Javier, Harris, Philip, Lipeles, Elliot, Loncar, Vladimir
We introduce SymbolFit, a framework that automates parametric modeling by using symbolic regression to perform a machine-search for functions that fit the data, while simultaneously providing uncertainty estimates in a single run. Traditionally, cons
Externí odkaz:
http://arxiv.org/abs/2411.09851
Modelling fluid turbulence using a `skeleton' of coherent structures has traditionally progressed by focusing on a few canonical laboratory experiments such as pipe flow and Taylor-Couette flow. We here consider the stratified inclined duct, a sustai
Externí odkaz:
http://arxiv.org/abs/2411.08062
Autor:
Turchetta, Marco, Linares, Manuel, Koljonen, Karri, Casares, Jorge, Miles-Páez, Paulo A., Rodríguez-Gil, Pablo, Shahbaz, Tariq, Simpson, Jordan A.
We report here the results obtained from a systematic optical photometric survey aimed at finding new compact binary millisecond pulsars (also known as "spiders"): the COmpact BInary PULsar SEarch (COBIPULSE). We acquired multi-band optical images ov
Externí odkaz:
http://arxiv.org/abs/2410.18199