Results 11 to 20 of about 887,215 (364)
Revisiting non-Gaussianity from non-attractor inflation models [PDF]
Non-attractor inflation is known as the only single field inflationary scenario that can violate non-Gaussianity consistency relation with the Bunch-Davies vacuum state and generate large local non-Gaussianity.
Yi-Fu Cai+5 more
semanticscholar +5 more sources
neighborhood U satisfying X = f~ f”U. We will study the real homology of hyperbolic n=0 expanding attractors (defined below in the appendix) using the branched manifolds of [S] and dynamical properties of [l] and [71. One can assume that X is connected and in an appropriate sense oriented (expanding attractors are locally homeomorphic to Euclidean ...
Dennis Sullivan, R. F. Williams
openalex +4 more sources
28 pages, 4 figures, LaTeX; v.2: references added, coffee stains removed; v.3: footnote added, minor typos ...
Goldstein, Kevin+2 more
openaire +2 more sources
We apply the entropy formalism to the study of the near-horizon geometry of extremal black p-brane intersections in D>5 dimensional supergravities. The scalar flow towards the horizon is described in terms an effective potential given by the superposition of the kinetic energies of all the forms under which the brane is charged.
Ferrara, Sergio+3 more
openaire +2 more sources
Supersymmetry and attractors [PDF]
20 pages, 2 figures, LaTeX. few misprints removed, version to appear in Phys.
Sergio Ferrara, Renata Kallosh
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Attractor as a convex combination of a set of attractors
Abstract This paper presents an effective approach to constructing numerical attractors of a general class of continuous homogenous dynamical systems: decomposing an attractor as a convex combination of a set of other existing attractors. For this purpose, the convergent Parameter Switching (PS) numerical method is used to integrate the underlying ...
Nikolay Kuznetsov+5 more
openaire +3 more sources
47 pages, 4 figures, LaTex, Reference ...
Ashoke Sen+4 more
openaire +2 more sources
This paper summarizes our recent attempts to integrate action and perception within a single optimization framework. We start with a statistical formulation of Helmholtz's ideas about neural energy to furnish a model of perceptual inference and learning that can explain a remarkable range of neurobiological facts.
FRISTON, KARL, KIEBEL, STEFAN
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Speaker-Independent Speech Separation With Deep Attractor Network [PDF]
Despite the recent success of deep learning for many speech processing tasks, single-microphone, speaker-independent speech separation remains challenging for two main reasons.
Yi Luo, Zhuo Chen, N. Mesgarani
semanticscholar +1 more source
AbstractWe review recent results in the study of attractor horizon geometries (with non‐vanishing Bekenstein‐Hawking entropy) of dyonic extremal d = 4 black holes in supergravity. We focus on 𝒩 = 2, d = 4 ungauged supergravity coupled to a number nVof Abelian vector multiplets, outlining the fundamentals of the special Kähler geometry of the vector ...
Stefano Bellucci+3 more
openaire +3 more sources