Zobrazeno 1 - 10
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pro vyhledávání: '"A Buck"'
We present $\texttt{LAMINAR}$, a novel unsupervised machine learning pipeline designed to enhance the representation of structure within data via producing a more-informative distance metric. Analysis methods in the physical sciences often rely on st
Externí odkaz:
http://arxiv.org/abs/2411.08557
Autor:
Oliver, William H., Buck, Tobias
We demonstrate how the composition of two unsupervised clustering algorithms, $\texttt{AstroLink}$ and $\texttt{FuzzyCat}$, makes for a powerful tool when studying galaxy formation and evolution. $\texttt{AstroLink}$ is a general-purpose astrophysica
Externí odkaz:
http://arxiv.org/abs/2411.03229
Autor:
Storcks, Leonard, Buck, Tobias
We present jf1uids, a one-dimensional fluid solver that can, by virtue of a geometric formulation of the Euler equations, model radially symmetric fluid problems in a conservative manner, i.e., without losing mass or energy. For spherical problems, s
Externí odkaz:
http://arxiv.org/abs/2410.23093
Autor:
Balesni, Mikita, Hobbhahn, Marius, Lindner, David, Meinke, Alexander, Korbak, Tomek, Clymer, Joshua, Shlegeris, Buck, Scheurer, Jérémy, Stix, Charlotte, Shah, Rusheb, Goldowsky-Dill, Nicholas, Braun, Dan, Chughtai, Bilal, Evans, Owain, Kokotajlo, Daniel, Bushnaq, Lucius
We sketch how developers of frontier AI systems could construct a structured rationale -- a 'safety case' -- that an AI system is unlikely to cause catastrophic outcomes through scheming. Scheming is a potential threat model where AI systems could pu
Externí odkaz:
http://arxiv.org/abs/2411.03336
We introduce CODES, a benchmark for comprehensive evaluation of surrogate architectures for coupled ODE systems. Besides standard metrics like mean squared error (MSE) and inference time, CODES provides insights into surrogate behaviour across multip
Externí odkaz:
http://arxiv.org/abs/2410.20886
Autor:
Benton, Joe, Wagner, Misha, Christiansen, Eric, Anil, Cem, Perez, Ethan, Srivastav, Jai, Durmus, Esin, Ganguli, Deep, Kravec, Shauna, Shlegeris, Buck, Kaplan, Jared, Karnofsky, Holden, Hubinger, Evan, Grosse, Roger, Bowman, Samuel R., Duvenaud, David
Sufficiently capable models could subvert human oversight and decision-making in important contexts. For example, in the context of AI development, models could covertly sabotage efforts to evaluate their own dangerous capabilities, to monitor their
Externí odkaz:
http://arxiv.org/abs/2410.21514
Autor:
Ratcliffe, Bridget, Khoperskov, Sergey, Minchev, Ivan, Lee, Nathan D., Buck, Tobias, Marques, Léa, Lu, Lucy, Steinmetz, Matthias
Recent works identified a way to recover the time evolution of a galaxy's disk metallicity gradient from the shape of its age--metallicity relation. However, the success of the method is dependent on how the width of the star-forming region evolves o
Externí odkaz:
http://arxiv.org/abs/2410.17326
Autor:
Buck, Tobias, Schwarz, Christian
Recently, contrastive learning (CL), a technique most prominently used in natural language and computer vision, has been used to train informative representation spaces for galaxy spectra and images in a self-supervised manner. Following this idea, w
Externí odkaz:
http://arxiv.org/abs/2410.16081
Cosmological simulations are a powerful tool to advance our understanding of galaxy formation and many simulations model key properties of real galaxies. A question that naturally arises for such simulations in light of high-quality observational dat
Externí odkaz:
http://arxiv.org/abs/2410.10606
Autor:
Borgert, J. E., Hannig, Jan, Tucker, J. D., Arbeeva, Liubov, Buck, Ashley N., Golightly, Yvonne M., Messier, Stephen P., Nelson, Amanda E., Marron, J. S.
Osteoarthritis (OA) is a prevalent degenerative joint disease, with the knee being the most commonly affected joint. Modern studies of knee joint injury and OA often measure biomechanical variables, particularly forces exerted during walking. However
Externí odkaz:
http://arxiv.org/abs/2409.13938