ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.10204
  4. Cited By
Linear Classifiers in Product Space Forms

Linear Classifiers in Product Space Forms

19 February 2021
Puoya Tabaghi
Chao Pan
Eli Chien
Jianhao Peng
Olgica Milenković
ArXivPDFHTML

Papers citing "Linear Classifiers in Product Space Forms"

21 / 21 papers shown
Title
Mixed-Curvature Decision Trees and Random Forests
Mixed-Curvature Decision Trees and Random Forests
Philippe Chlenski
Quentin Chu
I. Pe’er
52
2
0
07 Jun 2024
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
Haitz Sáez de Ocáriz Borde
Anastasis Kratsios
141
5
0
23 Oct 2023
Highly Scalable and Provably Accurate Classification in Poincare Balls
Highly Scalable and Provably Accurate Classification in Poincare Balls
Eli Chien
Chao Pan
Puoya Tabaghi
O. Milenkovic
44
12
0
08 Sep 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
Jindou Dai
Yuwei Wu
Zhi Gao
Yunde Jia
56
77
0
14 Apr 2021
Switch Spaces: Learning Product Spaces with Sparse Gating
Switch Spaces: Learning Product Spaces with Sparse Gating
Shuai Zhang
Yi Tay
Wenqi Jiang
Da-Cheng Juan
Ce Zhang
80
7
0
17 Feb 2021
Geometry of Similarity Comparisons
Geometry of Similarity Comparisons
Puoya Tabaghi
Jianhao Peng
O. Milenkovic
Ivan Dokmanić
52
5
0
17 Jun 2020
Hyperbolic Distance Matrices
Hyperbolic Distance Matrices
Puoya Tabaghi
Ivan Dokmanić
23
29
0
18 May 2020
Robust Large-Margin Learning in Hyperbolic Space
Robust Large-Margin Learning in Hyperbolic Space
Melanie Weber
Manzil Zaheer
A. S. Rawat
A. Menon
Sanjiv Kumar
111
33
0
11 Apr 2020
Mixed-curvature Variational Autoencoders
Mixed-curvature Variational Autoencoders
Ondrej Skopek
O. Ganea
Gary Bécigneul
CML
DRL
BDL
55
102
0
19 Nov 2019
Constant Curvature Graph Convolutional Networks
Constant Curvature Graph Convolutional Networks
Gregor Bachmann
Gary Bécigneul
O. Ganea
GNN
76
136
0
12 Nov 2019
Spherical Text Embedding
Spherical Text Embedding
Yu Meng
Jiaxin Huang
Guangyuan Wang
Chao Zhang
Honglei Zhuang
Lance M. Kaplan
Jiawei Han
RALM
47
117
0
04 Nov 2019
Hyperbolic Graph Convolutional Neural Networks
Hyperbolic Graph Convolutional Neural Networks
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
101
646
0
28 Oct 2019
Hyperbolic Graph Neural Networks
Hyperbolic Graph Neural Networks
Qi Liu
Maximilian Nickel
Douwe Kiela
AI4CE
GNN
71
380
0
28 Oct 2019
Hyperbolic Image Embeddings
Hyperbolic Image Embeddings
Valentin Khrulkov
L. Mirvakhabova
E. Ustinova
Ivan Oseledets
Victor Lempitsky
69
291
0
03 Apr 2019
Poincaré GloVe: Hyperbolic Word Embeddings
Poincaré GloVe: Hyperbolic Word Embeddings
A. Tifrea
Gary Bécigneul
O. Ganea
57
287
0
15 Oct 2018
Large-Margin Classification in Hyperbolic Space
Large-Margin Classification in Hyperbolic Space
Hyunghoon Cho
B. Demeo
Jianhao Peng
Bonnie Berger
43
74
0
01 Jun 2018
Hyperbolic Neural Networks
Hyperbolic Neural Networks
O. Ganea
Gary Bécigneul
Thomas Hofmann
50
602
0
23 May 2018
Representation Tradeoffs for Hyperbolic Embeddings
Representation Tradeoffs for Hyperbolic Embeddings
Christopher De Sa
Albert Gu
Christopher Ré
Frederic Sala
193
411
0
10 Apr 2018
Poincaré Embeddings for Learning Hierarchical Representations
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel
Douwe Kiela
81
1,301
0
22 May 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
716
3,274
0
24 Nov 2016
Importance Weighted Autoencoders
Importance Weighted Autoencoders
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
BDL
254
1,245
0
01 Sep 2015
1