Zobrazeno 1 - 10
of 8 285
pro vyhledávání: '"Gorton, A."'
Autor:
Gorton, Liv
We introduce group crosscoders, an extension of crosscoders that systematically discover and analyse symmetrical features in neural networks. While neural networks often develop equivariant representations without explicit architectural constraints,
Externí odkaz:
http://arxiv.org/abs/2410.24184
Optical-model potentials (OMPs) are critical ingredients for basic and applied nuclear physics. Present-day computational capabilities allow us to generate data-driven nucleon-nucleus OMPs that are non-local and exactly dispersive (as theoretically r
Externí odkaz:
http://arxiv.org/abs/2410.19269
Autor:
Gorton, Oliver C., Escher, Jutta E.
Porter-Thomas fluctuations of neutron widths skew compound nuclear decay probabilities from their statistical Hauser-Feshbach values. We present a straightforward method to correct Hauser-Feshbach calculations for these fluctuations, useful for model
Externí odkaz:
http://arxiv.org/abs/2410.01074
Autor:
Gorton, Oliver C., Johnson, Calvin W.
Publikováno v:
Phys. Rev. C 110, 034305 - Published 4 September 2024
The interacting shell model, a configuration-interaction method, is a venerable approach for low-lying nuclear structure calculations; but it is hampered by the exponential growth of its basis dimension as one increases the single-particle space and/
Externí odkaz:
http://arxiv.org/abs/2406.10120
The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision
Autor:
Gorton, Liv
Recent work on sparse autoencoders (SAEs) has shown promise in extracting interpretable features from neural networks and addressing challenges with polysemantic neurons caused by superposition. In this paper, we apply SAEs to the early vision layers
Externí odkaz:
http://arxiv.org/abs/2406.03662
With the recent advances in machine learning, creating agents that behave realistically in simulated air combat has become a growing field of interest. This survey explores the application of machine learning techniques for modeling air combat behavi
Externí odkaz:
http://arxiv.org/abs/2404.13954
Autor:
Gorton, Matthew, Green, Anne M.
Publikováno v:
SciPost Phys. 17, 032 (2024)
Primordial black holes (PBHs) can make up all of the dark matter (DM) if their mass, $m$, is in the so-called 'asteroid-mass window', $10^{17} \, {\rm g} \lesssim m \lesssim 10^{22} \, {\rm g}$. Observational constraints on the abundance of PBHs are
Externí odkaz:
http://arxiv.org/abs/2403.03839
A substantial part of fighter pilot training is simulation-based and involves computer-generated forces controlled by predefined behavior models. The behavior models are typically manually created by eliciting knowledge from experienced pilots, which
Externí odkaz:
http://arxiv.org/abs/2304.14423
Autor:
Escher, Jutta, Bergstrom, Kirana, Chimanski, Emanuel, Gorton, Oliver, In, Eun Jin, Kruse, Michael, Péru, Sophie, Pruitt, Cole, Rahman, Rida, Shinkle, Emily, Thapa, Aaina, Younes, Walid
Nuclear reaction data required for astrophysics and applications is incomplete, as not all nuclear reactions can be measured or reliably predicted. Neutron-induced reactions involving unstable targets are particularly challenging, but often critical
Externí odkaz:
http://arxiv.org/abs/2304.10034
Intimacy is an essential element of human relationships and language is a crucial means of conveying it. Textual intimacy analysis can reveal social norms in different contexts and serve as a benchmark for testing computational models' ability to und
Externí odkaz:
http://arxiv.org/abs/2303.02758