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pro vyhledávání: '"Johnson Daniel P"'
Autor:
Johnson, Daniel D.
Much of today's machine learning research involves interpreting, modifying or visualizing models after they are trained. I present Penzai, a neural network library designed to simplify model manipulation by representing models as simple data structur
Externí odkaz:
http://arxiv.org/abs/2408.00211
Autor:
Vincent, Tom, Liu, Xinyun, Johnson, Daniel, Mester, Lars, Huang, Nathaniel, Kazakova, Olga, Hillenbrand, Rainer, Boland, Jessica Louise
Scattering-type scanning near-field optical microscopy (s-SNOM) is a powerful technique for extreme subwavelength imaging and spectroscopy, with around 20 nm spatial resolution. But quantitative relationships between experiment and material propertie
Externí odkaz:
http://arxiv.org/abs/2405.20948
Autor:
collaboration, CODEX-b, Aielli, Giulio, Alimena, Juliette, Beacham, James, Haim, Eli Ben, Burucs, Andras, Cardarelli, Roberto, Charles, Matthew, Vidal, Xabier Cid, De Roeck, Albert, Dey, Biplab, Dobrescu, Silviu, Durmus, Ozgur, Elashri, Mohamed, Gligorov, Vladimir, Suarez, Rebeca Gonzalez, Gorordo, Thomas, Gray, Zarria, Henderson, Conor, Henry, Louis, Ilten, Philip, Johnson, Daniel, Kautz, Jacob, Knapen, Simon, Liu, Bingxuan, Liu, Yang, Solino, Saul Lopez, Mombacher, Titus, Nachman, Benjamin, Northacker, David, Nowak, Gabriel, Papucci, Michele, Pasztor, Gabriella, Rial, Eloi Pazos, Pfaller, Jake, Pizzimento, Luca, Casasus, Maximo Plo, Rassati, Gian Andrea, Robinson, Dean, Fernandez, Emilio Xose Rodriguez, Sahoo, Debashis, Simsek, Sinem, Sokoloff, Michael, Suresh, Aditya, Swallow, Paul, Swanson, James, Vari, Riccardo, Sierra, Carlos Vazquez, Veres, Gabor, Watson, Nigel, Wilkinson, Michael, Williams, Michael
The CODEX-$\beta$ apparatus is a demonstrator for the proposed future CODEX-b experiment, a long-lived-particle detector foreseen for operation at IP8 during HL-LHC data-taking. The demonstrator project, intended to collect data in 2025, is described
Externí odkaz:
http://arxiv.org/abs/2406.12880
Publikováno v:
JCAP 10 (2024) 055
Strong gravitational lensing is a competitive tool to probe the dark matter and energy content of the universe. However, significant uncertainties can arise from the choice of lens model, and in particular the parameterisation of the line of sight. I
Externí odkaz:
http://arxiv.org/abs/2405.04194
It has been five years since the data sample from the LHCb detector, the first experiment optimized for heavy-flavor physics studies at a hadronic collider, was completed. These data led to many major discoveries in exotic hadron spectroscopy, which
Externí odkaz:
http://arxiv.org/abs/2403.04051
Autor:
Gerber, Michael A., Schroeter, Ronald, Johnson, Daniel, Janssen, Christian P., Rakotonirainy, Andry, Kuo, Jonny, Lenne, Mike G.
This paper reports results from a high-fidelity driving simulator study (N=215) about a head-up display (HUD) that conveys a conditional automated vehicle's dynamic "uncertainty" about the current situation while fallback drivers watch entertaining v
Externí odkaz:
http://arxiv.org/abs/2402.17751
Identifying how much a model ${\widehat{p}}_{\theta}(Y|X)$ knows about the stochastic real-world process $p(Y|X)$ it was trained on is important to ensure it avoids producing incorrect or "hallucinated" answers or taking unsafe actions. But this is d
Externí odkaz:
http://arxiv.org/abs/2402.08733
Soft robotics is a rapidly growing field that spans the fields of chemistry, materials science, and engineering. Due to the diverse background of the field, there have been contrasting naming schemes such as 'intelligent', 'smart' and 'adaptive' mate
Externí odkaz:
http://arxiv.org/abs/2312.06445
Learning from human feedback (LHF) -- and in particular learning from pairwise preferences -- has recently become a crucial ingredient in training large language models (LLMs), and has been the subject of much research. Most recent works frame it as
Externí odkaz:
http://arxiv.org/abs/2311.14115