26,193 research outputs found
Rumba : a Python framework for automating large-scale recursive internet experiments on GENI and FIRE+
It is not easy to design and run Convolutional Neural Networks (CNNs) due to: 1) finding the optimal number of filters (i.e., the width) at each layer is tricky, given an architecture; and 2) the computational intensity of CNNs impedes the deployment on computationally limited devices. Oracle Pruning is designed to remove the unimportant filters from a well-trained CNN, which estimates the filters’ importance by ablating them in turn and evaluating the model, thus delivers high accuracy but suffers from intolerable time complexity, and requires a given resulting width but cannot automatically find it. To address these problems, we propose Approximated Oracle Filter Pruning (AOFP), which keeps searching for the least important filters in a binary search manner, makes pruning attempts by masking out filters randomly, accumulates the resulting errors, and finetunes the model via a multi-path framework. As AOFP enables simultaneous pruning on multiple layers, we can prune an existing very deep CNN with acceptable time cost, negligible accuracy drop, and no heuristic knowledge, or re-design a model which exerts higher accuracy and faster inferenc
Generalized Spinfoams
We reconsider the spinfoam dynamics that has been recently introduced, in the
generalized Kaminski-Kisielowski-Lewandowski (KKL) version where the foam is
not dual to a triangulation. We study the Euclidean as well as the Lorentzian
case. We show that this theory can still be obtained as a constrained BF theory
satisfying the simplicity constraint, now discretized on a general oriented
2-cell complex. This constraint implies that boundary states admit a (quantum)
geometrical interpretation in terms of polyhedra, generalizing the tetrahedral
geometry of the simplicial case. We also point out that the general solution to
this constraint (imposed weakly) depends on a quantum number r_f in addition to
those of loop quantum gravity. We compute the vertex amplitude and recover the
KKL amplitude in the Euclidean theory when r_f=0. We comment on the eventual
physical relevance of r_f, and the formal way to eliminate it.Comment: 16 pages, 3 figure
LHC Phenomenology of the Type II Seesaw Mechanism: Observability of Neutral Scalars in the Nondegenerate Case
This is a sequel to our previous work on LHC phenomenology of the type II
seesaw model in the nondegenerate case. In this work, we further study the pair
and associated production of the neutral scalars H^0/A^0. We restrict ourselves
to the so-called negative scenario characterized by the mass order
M_{H^{\pm\pm}}>M_{H^\pm}>M_{H^0/A^0}, in which the H^0/A^0 production receives
significant enhancement from cascade decays of the charged scalars
H^{\pm\pm},~H^\pm. We consider three important signal
channels---b\bar{b}\gamma\gamma, b\bar{b}\tau^+\tau^-,
---and perform detailed simulations. We find
that at the 14 TeV LHC with an integrated luminosity of 3000/fb, a 5\sigma mass
reach of 151, 150, and 180 GeV, respectively, is possible in the three channels
from the pure Drell-Yan H^0A^0 production, while the cascade-decay-enhanced
H^0/A^0 production can push the mass limit further to 164, 177, and 200 GeV.
The neutral scalars in the negative scenario are thus accessible at LHC run II.Comment: v1: 32 pages, 17 figures, 3 tables. v2: added 2 refs (2nd in [61] and
[66]), revised Acknowledgments, and corrected grammatical errors according to
proofs; no other change
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