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Amine Natik
Amine Natik
PhD Student of Applied Mathematics, Mila
Verified email at umontreal.ca - Homepage
Title
Cited by
Cited by
Year
Reliability of cka as a similarity measure in deep learning
MR Davari, S Horoi, A Natik, G Lajoie, G Wolf, E Belilovsky
arXiv preprint arXiv:2210.16156, 2022
212022
Diffusion earth mover’s distance and distribution embeddings
AY Tong, G Huguet, A Natik, K MacDonald, M Kuchroo, R Coifman, ...
International Conference on Machine Learning, 10336-10346, 2021
182021
On the inadequacy of CKA as a measure of similarity in deep learning
MR Davari, S Horoi, A Natik, G Lajoie, G Wolf, E Belilovsky
ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022
122022
Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald Coifman, Guy Wolf, and Smita Krishnaswamy. Diffusion earth mover’s distance and distribution embeddings
AY Tong, G Huguet
International Conference on Machine Learning, 10336-10346, 0
12
Embedding signals on graphs with unbalanced diffusion earth mover’s distance
A Tong, G Huguet, D Shung, A Natik, M Kuchroo, G Lajoie, G Wolf, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
72022
Consistency of spectral seriation
A Natik, A Smith
arXiv preprint arXiv:2112.04408, 2021
52021
Consistency of the spectral seriation algorithm
A Natik
Université d'Ottawa/University of Ottawa, 2019
22019
Deceiving the CKA Similarity Measure in Deep Learning
MR Davari, S Horoi, A Natik, G Lajoie, G Wolf, E Belilovsky
NeurIPS ML Safety Workshop, 2022
12022
La croissance tumorale en équations
A Natik, S Fadel
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Articles 1–9