Suchergebnisse
Suchergebnisse:
6. Mai 2024 · PCA solves these invariances by constraining the factors to be orthogonal and ranking them by variance explained, resulting in a unique solution (under certain weak conditions, for example, up...
Vor 14 Stunden · Abstract. In recent years, one of the most transformative subfields of machine learning has been computer vision. With substantial breakthroughs in the early 2010s, this field has seen improvements in tasks ranging from image classification, retrieval (similarity search), and denoising to more recent generative aspects such as image generation ...
Vor einem Tag · The classifier part of the trained ss-rVAE inherits the rotational (and translational) invariances and can be deployed independently of the other parts of the model. The performance of the ss-rVAE is illustrated using the synthetic data sets with known factors of variation. We further demonstrate its application for experimental data sets of ...
29. Apr. 2024 · Model metamers reveal divergent invariances between biological and artificial neural networks The authors test artificial neural networks with stimuli whose activations are matched to those of a...
5. Mai 2024 · Navier-Stokes equations revealed invariances under assumed symmetries [34]. However, fractional operators typically challenge the preservation of periodic or symmetric solutions due to their memory characteristics, necessitating careful consideration and specific as-
15. Mai 2024 · A. Rüland,A. Tribuzio: On Scaling Laws for Multi-Well Nucleation Problems without Gauge Invariances. ...
5. Mai 2024 · Abstract. We propose our account of the meaning of local symmetries. We argue that the general covariance principle and gauge principle both are principles of democratic epistemic access to the law of physics, leading to ontological insights about the objective nature of spacetime.
