According to news reporting originating in College Park, Maryland,by NewsRx journalists, research stated, "We introduce a framework for compactly representing light fieldcontent with th e novel concept of neural subspaces. While the recently proposed neural light fi eldrepresentation achieves great ...
The robustness of the flow fields under different visual feedback projections supports the hypothesis that neural population activity is constrained to follow specific time courses. We wondered whether these temporal constraints were present only in specific subspaces or whether the time courses of neural...
Improving Neural Network SubspacesIn spite of the success of deep learning, we know relatively little about the many possible solutions to which a trained network can converge. Networks generally converge to some local minima—a region in space where the loss function increases in every direction—...
and dendritic integration –the neural network framework uses explanatory objects that are novel to many in the cognitive neuroscience field, such as state-space, dynamical landscape, attractor state, the geometry of manifolds, dimensionality of manifolds, activity subspaces, communication subspaces, trajec...
6g–i). The pairwise correlations are altered during sighs in comparison to eupnea in room air, but the principal angles between the eupneic and sigh low-dimensional projections show that the subspaces are largely overlapping (Extended Data Fig. 8), indicating a minor and temporary disruption ...
Contrary to the conventional deep learning techniques such as CNN and LSTMs where the focus is more on the predictive power of the network rather than the explanatory power, in TFNN each hidden layer can be visualized as a Tucker decomposition of a N-Dimensional tensor into subspaces Discussion...
Mip-NeRF: A multiscale representation for anti-aliasing neu- ral radiance fields, 2021. 2, 4, 6, 8, 1 [4] R. Basri and D.W. Jacobs. Lambertian reflectance and lin- ear subspaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(2):218–233, 2003. 2 ...
NeRV: Neural reflectance and visibility fields for relighting and view synthesis. In CVPR, 2021. 4 [41] Tiancheng Sun, Kai-En Lin, Sai Bi, Zexiang Xu, and Ravi Ramamoorthi. Nelf: Neural light-transport field for portrait view synthesis and relighting. EGSR, ...
(TD)-based distribution, a flexible compound Poisson-gamma model that simultaneously models both exact zero occurrences and continuous positive values. The choice of the TD distribution is motivated by its established efficacy in fields challenged by nonnormal distributions, such as crash frequency ...
For example, O’Leary-Roseberry et al. [23] propose a framework, in a fluid dynamics context, where dimensionality reduction is carried out with linear approximations (e.g., principal component analysis, proper orthogonal decomposition, and active subspaces) and the surrogate construction on the ...