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Learning a Robust Representation via a Deep Network on Symmetric
  Positive Definite Manifolds

Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds

17 November 2017
Zhi Gao
Yuwei Wu
Xingyuan Bu
Yunde Jia
ArXivPDFHTML

Papers citing "Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds"

4 / 4 papers shown
Title
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models
J. Liu
Hangyu Guo
Ranjie Duan
Xingyuan Bu
Yancheng He
...
Yingshui Tan
Yanan Wu
Jihao Gu
Y. Li
J. Zhu
MLLM
121
0
0
25 Apr 2025
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet
  Transform based on Helgason-Fourier Analysis
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
Sho Sonoda
Isao Ishikawa
Masahiro Ikeda
11
15
0
03 Mar 2022
Vector-valued Distance and Gyrocalculus on the Space of Symmetric
  Positive Definite Matrices
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
F. López
Beatrice Pozzetti
Steve J. Trettel
Michael Strube
Anna Wienhard
22
17
0
26 Oct 2021
geomstats: a Python Package for Riemannian Geometry in Machine Learning
geomstats: a Python Package for Riemannian Geometry in Machine Learning
Nina Miolane
Johan Mathe
Claire Donnat
Mikael Jorda
Xavier Pennec
AI4CE
15
123
0
21 May 2018
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