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Researchers
Career
·
Chief Scientist and Co-Founder
,
Numbers Station
2021–
·
Intern
,
Google Research
2018–
·
Intern
,
Microsoft AI and Research
2017–
·
Graduate Student
,
Ecole Centrale Paris
2015–
·
Ph.D. Candidate
,
Stanford University
2015–2021
Publications
(20)
Hyperbolic Graph Convolutional Neural Networks
Neural Information Processing Systems · 2019
775
cited
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Annual Meeting of the Association for Computational Linguistics · 2020
447
cited
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Journal of machine learning research · 2020
333
cited
Can Foundation Models Wrangle Your Data?
Proceedings of the VLDB Endowment · 2022
290
cited
Ask Me Anything: A simple strategy for prompting language models
International Conference on Learning Representations · 2022
256
cited
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
Neural Information Processing Systems · 2020
110
cited
Referring Relationships
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
95
cited
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections
International Conference on Machine Learning · 2021
57
cited
AMECON: Abstract Meta-Concept Features for Text-Illustration
International Conference on Multimedia Retrieval · 2017
10
cited
Low-Dimensional Knowledge Graph Embeddings via Hyperbolic Rotations
2019
9
cited
Image Annotation and Two Paths to Text Illustration
Conference and Labs of the Evaluation Forum · 2016
5
cited
Tree Covers: An Alternative to Metric Embeddings
2020
1
cited
CS 231 N Final Report : Single-Stream Action Proposals in Videos
2017
Numerical Artifacts in the Generalized Porous Medium Equation: Why Harmonic Averaging Itself is not to Blame
2018
Sotabase
Ines Chami | Researcher Profile | Sotabase | Sotabase