Differentiating through the Fréchet Mean

29 February 2020

Ser-Nam Lim

Papers citing "Differentiating through the Fréchet Mean"

36 / 36 papers shown

Title
The Mean of Multi-Object Trajectories Tran Thien Dat Nguyen Ba Tuong Vo B. Vo Hoa Van Nguyen Changbeom Shim 27 0 0 29 Apr 2025
A group-theoretic framework for machine learning in hyperbolic spaces Vladimir Jaćimović 44 0 0 12 Jan 2025
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Y. Lin Ronald R. Coifman Gal Mishne Ronen Talmon 40 2 0 28 Oct 2024
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space Nabarun Goswami Yusuke Mukuta Tatsuya Harada 40 4 0 18 Mar 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks Jing Gu Dongmian Zou 37 3 0 06 Mar 2024
Accelerating hyperbolic t-SNE Martin Skrodzki Hunter van Geffen Nicolas F. Chaves-de-Plaza T. Höllt E. Eisemann Klaus Hildebrandt 39 3 0 23 Jan 2024
Riemannian Residual Neural Networks Isay Katsman Eric Chen Sidhanth Holalkere Anna Asch Aaron Lou Ser-Nam Lim Christopher De Sa 26 10 0 16 Oct 2023
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks Jiaxu Liu Xinping Yi Xiaowei Huang 41 2 0 03 Oct 2023
Extragradient Type Methods for Riemannian Variational Inequality Problems Zihao Hu Guanghui Wang Xi Wang Andre Wibisono Jacob D. Abernethy Molei Tao 31 4 0 25 Sep 2023
A survey of manifold learning and its applications for multimedia Hannes Fassold 42 1 0 08 Sep 2023
Hyperbolic Random Forests Lars Doorenbos Pablo Márquez-Neila Raphael Sznitman Pascal Mettes 18 5 0 25 Aug 2023
Geometry-Aware Adaptation for Pretrained Models Nicholas Roberts Xintong Li Dyah Adila Sonia Cromp Tzu-Heng Huang Jitian Zhao Frederic Sala VLM 31 1 0 23 Jul 2023
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift Luca Franco Paolo Mandica Konstantinos Kallidromitis Devin Guillory Yu-Teng Li Trevor Darrell Fabio Galasso 54 9 0 19 Jun 2023
HypLL: The Hyperbolic Learning Library Max van Spengler Philipp Wirth Pascal Mettes AI4CE 13 5 0 09 Jun 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Wee Peng Tay 19 12 0 30 May 2023
Fully Hyperbolic Convolutional Neural Networks for Computer Vision Ahmad Bdeir Kristian Schwethelm Niels Landwehr 41 10 0 28 Mar 2023
Poincaré ResNet Max van Spengler E. Berkhout Pascal Mettes SSL 48 12 0 24 Mar 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Rui She Wee Peng Tay 38 0 0 02 Mar 2023
Minimizing Dynamic Regret on Geodesic Metric Spaces Zihao Hu Guanghui Wang Jacob D. Abernethy 20 6 0 17 Feb 2023
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning Menglin Yang Min Zhou Lujia Pan Irwin King 29 18 0 04 Dec 2022
Are we certain it's anomalous? Alessandro Flaborea Bardh Prenkaj Bharti Munjal Marco Aurelio Sterpa Dario Aragona L. Podo Fabio Galasso 24 8 0 16 Nov 2022
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces Jiahang Cao Jinyuan Fang Zaiqiao Meng Shangsong Liang 26 60 0 07 Nov 2022
Finding the global semantic representation in GAN through Frechet Mean Jaewoong Choi Geonho Hwang Hyunsoo Cho Myung-joo Kang GAN DRL 19 2 0 11 Oct 2022
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Xiaofeng Cao Weixin Bu Sheng-Jun Huang Minling Zhang Ivor W. Tsang Yew-Soon Ong James T. Kwok 35 1 0 29 Jul 2022
Data-Efficient Learning via Minimizing Hyperspherical Energy Xiaofeng Cao Weiyang Liu Ivor W. Tsang 19 8 0 30 Jun 2022
Near out-of-distribution detection for low-resolution radar micro-Doppler signatures Martin Bauw Santiago Velasco-Forero Jesús Angulo C. Adnet O. Airiau OODD 29 5 0 12 May 2022
Hyperbolic Image Segmentation Mina Ghadimi Atigh Julian Schoep Erman Acar Nanne van Noord Pascal Mettes 48 86 0 11 Mar 2022
Universal Prototype Transport for Zero-Shot Action Recognition and Localization Pascal Mettes 14 5 0 08 Mar 2022
Hyperbolic Graph Neural Networks: A Review of Methods and Applications Menglin Yang Min Zhou Zhihao Li Jiahong Liu Lujia Pan Hui Xiong Irwin King 21 52 0 28 Feb 2022
Deep Efficient Continuous Manifold Learning for Time Series Modeling Seungwoo Jeong Wonjun Ko A. Mulyadi Heung-Il Suk AI4TS 29 8 0 03 Dec 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 43 21 0 23 Nov 2021
Universal Approximation Under Constraints is Possible with Transformers Anastasis Kratsios Behnoosh Zamanlooy Tianlin Liu Ivan Dokmanić 53 26 0 07 Oct 2021
Hyperbolic Busemann Learning with Ideal Prototypes Mina Ghadimi Atigh Martin Keller-Ressel Pascal Mettes 33 36 0 28 Jun 2021
Bayesian Active Learning by Disagreements: A Geometric Perspective Xiaofeng Cao Ivor W. Tsang 17 8 0 06 May 2021
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 29 96 0 15 Apr 2021
Limit Theorems for Fréchet Mean Sets S. Evans Adam Quinn Jaffe 27 5 0 23 Dec 2020