Ines Chami

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Citations	703	700
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Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
Frederic SalaAssistant Professor, University of WisconsinVerified email at cs.wisc.edu
Bryan PerozziStony Brook UniversityVerified email at cs.stonybrook.edu
Zhitao (Rex) YingStanford UniversityVerified email at stanford.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Sami Abu-El-HaijaPhD Student, USCVerified email at usc.edu
Kevin MurphyResearch Scientist, GoogleVerified email at google.com
Albert GuStanford UniversityVerified email at stanford.edu
Ranjay KrishnaUniversity of Washington, Facebook AI ResearchVerified email at fb.com
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Youssef TamaazoustiLead Data-Scientist, G42Verified email at g42.ai
Hervé Le BorgneCEA List, FranceVerified email at cea.fr
Vaggos ChatziafratisStanford UniversityVerified email at cs.stanford.edu

Ines Chami

Stanford University

Verified email at stanford.edu - Homepage

Machine Learning Representation Learning Geometric Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Hyperbolic graph convolutional neural networks I Chami, Z Ying, C Ré, J Leskovec Advances in neural information processing systems 32, 2019	274	2019
Low-dimensional hyperbolic knowledge graph embeddings I Chami, A Wolf, DC Juan, F Sala, S Ravi, C Ré arXiv preprint arXiv:2005.00545, 2020	164	2020
Machine learning on graphs: A model and comprehensive taxonomy I Chami, S Abu-El-Haija, B Perozzi, C Ré, K Murphy arXiv preprint arXiv:2005.03675, 1, 2020	125	2020
Referring relationships R Krishna, I Chami, M Bernstein, L Fei-Fei Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	69	2018
From trees to continuous embeddings and back: Hyperbolic hierarchical clustering I Chami, A Gu, V Chatziafratis, C Ré Advances in Neural Information Processing Systems 33, 15065-15076, 2020	38	2020
AMECON: abstract meta-concept features for text-illustration I Chami, Y Tamaazousti, H Le Borgne Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017	13	2017
Machine learning on graphs: a model and comprehensive taxonomy. 2020 I Chami, S Abu-El-Haija, B Perozzi, C Ré, K Murphy URL http://arxiv. org/abs, 2005	7	2005
Horopca: Hyperbolic dimensionality reduction via horospherical projections I Chami, A Gu, DP Nguyen, C Ré International Conference on Machine Learning, 1419-1429, 2021	5	2021
Image Annotation and Two Paths to Text Illustration. H Le Borgne, E Gadeski, I Chami, TQN Tran, Y Tamaazousti, AL Gînsca, ... CLEF (Working Notes), 322-333, 2016	4	2016
Tree Covers: An Alternative to Metric Embeddings R Sahoo, I Chami, C Ré Differential Geometry for Machine Learning Workshop at NeurIPS, 2020	2	2020
Chris R. 2019 B Hancock, C McCreery, I Chami, V Chen, S Wu, J Dunnmon, P Varma, ... Massive multi-task learning with snorkel metal: Bringing more supervision to …, 0	2
Can Foundation Models Wrangle Your Data? A Narayan, I Chami, L Orr, C Ré arXiv preprint arXiv:2205.09911, 2022		2022
Representation Learning and Algorithms in Hyperbolic Spaces I Chami Stanford University, 2021		2021
Reconnaissance visuelle des émotions B Aubœuf, I Chami, E Gautier, DI de França, L James

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