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Distributions of Angles in Random Packing on Spheres

Distributions of Angles in Random Packing on Spheres

2 June 2013
Tony Cai
Jianqing Fan
Tiefeng Jiang
ArXivPDFHTML

Papers citing "Distributions of Angles in Random Packing on Spheres"

13 / 13 papers shown
Title
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee
Youngdo Lee
Takuma Seno
Donghu Kim
Peter Stone
Jaegul Choo
63
1
0
24 Feb 2025
Nonparametric Measure-Transportation-Based Methods for Directional Data
Nonparametric Measure-Transportation-Based Methods for Directional Data
Marc Hallin
Han Liu
Thomas Verdebout
OT
26
10
0
20 Dec 2022
A Perturbation Bound on the Subspace Estimator from Canonical
  Projections
A Perturbation Bound on the Subspace Estimator from Canonical Projections
Karan Srivastava
Daniel L. Pimentel-Alarcón
16
0
0
28 Jun 2022
Prompt-aligned Gradient for Prompt Tuning
Prompt-aligned Gradient for Prompt Tuning
Beier Zhu
Yulei Niu
Yucheng Han
Yuehua Wu
Hanwang Zhang
VLM
175
269
0
30 May 2022
Minimax Optimal Quantization of Linear Models: Information-Theoretic
  Limits and Efficient Algorithms
Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms
R. Saha
Mert Pilanci
Andrea J. Goldsmith
MQ
17
3
0
23 Feb 2022
On a class of Sobolev tests for symmetry of directions, their detection
  thresholds, and asymptotic powers
On a class of Sobolev tests for symmetry of directions, their detection thresholds, and asymptotic powers
Eduardo García-Portugués
D. Paindaveine
Thomas Verdebout
16
4
0
23 Aug 2021
Hopfield Networks is All You Need
Hopfield Networks is All You Need
Hubert Ramsauer
Bernhard Schafl
Johannes Lehner
Philipp Seidl
Michael Widrich
...
David P. Kreil
Michael K Kopp
G. Klambauer
Johannes Brandstetter
Sepp Hochreiter
22
410
0
16 Jul 2020
Learning Rates as a Function of Batch Size: A Random Matrix Theory
  Approach to Neural Network Training
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
Diego Granziol
S. Zohren
Stephen J. Roberts
ODL
21
48
0
16 Jun 2020
Limiting behavior of largest entry of random tensor constructed by
  high-dimensional data
Limiting behavior of largest entry of random tensor constructed by high-dimensional data
Tiefeng Jiang
Junshan Xie
19
8
0
28 Oct 2019
Fast, Parameter free Outlier Identification for Robust PCA
Fast, Parameter free Outlier Identification for Robust PCA
V. Menon
Sheetal Kalyani
22
2
0
13 Apr 2018
Detecting the direction of a signal on high-dimensional spheres:
  Non-null and Le Cam optimality results
Detecting the direction of a signal on high-dimensional spheres: Non-null and Le Cam optimality results
D. Paindaveine
Thomas Verdebout
17
7
0
07 Nov 2017
Power in High-Dimensional Testing Problems
Power in High-Dimensional Testing Problems
Anders Bredahl Kock
David Preinerstorfer
25
22
0
13 Sep 2017
Testing uniformity on high-dimensional spheres against monotone
  rotationally symmetric alternatives
Testing uniformity on high-dimensional spheres against monotone rotationally symmetric alternatives
Christine Cutting
D. Paindaveine
Thomas Verdebout
29
21
0
07 Feb 2015
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