| 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 | 20 | 2022 |
| 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 | 18 | 2021 |
| 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 | 12 | 2022 |
| 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 | 7 | 2022 |
| Consistency of spectral seriation A Natik, A Smith arXiv preprint arXiv:2112.04408, 2021 | 4 | 2021 |
| Consistency of the spectral seriation algorithm A Natik Université d'Ottawa/University of Ottawa, 2019 | 2 | 2019 |
| 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 | 1 | 2022 |
| La croissance tumorale en équations A Natik, S Fadel | | |
Guy WolfUniversité de Montréal; MilaVerified email at umontreal.ca
