Zobrazeno 1 - 10
of 4 707
pro vyhledávání: '"Keller T."'
Despite nearly a decade of literature on style transfer, there is no undisputed definition of artistic style. State-of-the-art models produce impressive results but are difficult to interpret since, without a coherent definition of style, the problem
Externí odkaz:
http://arxiv.org/abs/2412.04441
There is now substantial evidence for traveling waves and other structured spatiotemporal recurrent neural dynamics in cortical structures; but these observations have typically been difficult to reconcile with notions of topographically organized se
Externí odkaz:
http://arxiv.org/abs/2409.13669
A prominent theory of affective response to music revolves around the concepts of surprisal and expectation. In prior work, this idea has been operationalized in the form of probabilistic models of music which allow for precise computation of song (o
Externí odkaz:
http://arxiv.org/abs/2310.03500
A prominent goal of representation learning research is to achieve representations which are factorized in a useful manner with respect to the ground truth factors of variation. The fields of disentangled and equivariant representation learning have
Externí odkaz:
http://arxiv.org/abs/2309.13167
Traveling waves of neural activity have been observed throughout the brain at a diversity of regions and scales; however, their precise computational role is still debated. One physically inspired hypothesis suggests that the cortical sheet may act l
Externí odkaz:
http://arxiv.org/abs/2309.08045
Autor:
Suau, Xavier, Danieli, Federico, Keller, T. Anderson, Blaas, Arno, Huang, Chen, Ramapuram, Jason, Busbridge, Dan, Zappella, Luca
Multiview Self-Supervised Learning (MSSL) is based on learning invariances with respect to a set of input transformations. However, invariance partially or totally removes transformation-related information from the representations, which might harm
Externí odkaz:
http://arxiv.org/abs/2306.16058
Despite the significant recent progress in deep generative models, the underlying structure of their latent spaces is still poorly understood, thereby making the task of performing semantically meaningful latent traversals an open research challenge.
Externí odkaz:
http://arxiv.org/abs/2304.12944
In this work, we observe that many existing self-supervised learning algorithms can be both unified and generalized when seen through the lens of equivariant representations. Specifically, we introduce a general framework we call Homomorphic Self-Sup
Externí odkaz:
http://arxiv.org/abs/2211.08282
Autor:
Trepka, H., Keller, T., Krautloher, M., Xu, J., Habicht, K., Böhm, M., Keimer, B., Hepting, M.
Publikováno v:
Phys. Rev. Research 4, 023181 (2022)
Materials realizing the XY model in two dimensions (2D) are sparse. Here we use neutron triple-axis spectroscopy to investigate the critical static and dynamical magnetic fluctuations in the square-lattice antiferromagnets Ca$_{2}$RuO$_{4}$ and Ca$_{
Externí odkaz:
http://arxiv.org/abs/2206.01708
Publikováno v:
In Resuscitation January 2025 206
