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Tomer Galanti
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Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models
C Xu, S Yang, T Galanti, B Wu, X Yue, B Zhai, W Zhan, P Vajda, K Keutzer, ...
European Conference on Computer Vision, 638-656, 2022
732022
On the Modularity of Hypernetworks
T Galanti, L Wolf
Advances in Neural Information Processing Systems 33, 10409-10419, 2020
672020
On the Role of Neural Collapse in Transfer Learning
T Galanti, A György, M Hutter
International Conference on Learning Representations (ICLR), 2021
552021
Emerging Disentanglement in Auto-Encoder based Unsupervised Image Content Transfer
O Press, T Galanti, S Benaim, L Wolf
International Conference on Learning Representations (ICLR), 2018
422018
A Theoretical Framework for Deep Transfer Learning
T Galanti, L Wolf, T Hazan
Information and Inference: A Journal of the IMA 5 (2), 159-209, 2016
412016
Evaluation metrics for conditional image generation
Y Benny, T Galanti, S Benaim, L Wolf
International Journal of Computer Vision 129, 1712-1731, 2021
382021
Dynamics in Deep Classifiers trained with the Square Loss: normalization, low rank, neural collapse and generalization bounds
M Xu, A Rangamani, Q Liao, T Galanti, T Poggio
Research, 2023
31*2023
A Formal Approach to Explainability
L Wolf, T Galanti, T Hazan
AAAI/ACM Conference on Artificial Intelligence, Ethics and Society 2, 2019
292019
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings
T Galanti, L Wolf, S Benaim
International Conference on Learning Representations (ICLR), 2017
27*2017
On Infinite-Width Hypernetworks
E Littwin*, T Galanti*, L Wolf, G Yang, (*equal contributions)
Advances in Neural Information Processing Systems 33, 2020
25*2020
Domain Intersection and Domain Difference
S Benaim, M Khaitov, T Galanti, L Wolf
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
242019
Characterizing the Implicit Bias of Regularized SGD in Rank Minimization
T Galanti, Z Siegel, A Gupte, T Poggio
Center for Brains, Minds and Machines (CBMM), 2022
22*2022
Feature learning in deep classifiers through intermediate neural collapse
A Rangamani, M Lindegaard, T Galanti, TA Poggio
International Conference on Machine Learning, 28729-28745, 2023
172023
On the Implicit Bias Towards Minimal Depth of Deep Neural Networks
T Galanti, L Galanti, I Ben-Shaul
arXiv preprint arXiv:2202.09028, 2022
152022
Reverse engineering self-supervised learning
I Ben-Shaul, R Shwartz-Ziv, T Galanti, S Dekel, Y LeCun
Advances in Neural Information Processing Systems 36, 58324-58345, 2023
122023
Estimating the success of unsupervised image to image translation
S Benaim*, T Galanti*, L Wolf, (*equal contributions)
Proceedings of the European Conference on Computer Vision (ECCV), 218-233, 2018
122018
Generalization bounds for transfer learning with pretrained classifiers
T Galanti, A György, M Hutter
arXiv preprint arXiv:2212.12532, 2022
112022
Meta internal learning
R Bensadoun, S Gur, T Galanti, L Wolf
Advances in Neural Information Processing Systems 34, 20645-20656, 2021
92021
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs
T Galanti, S Benaim, L Wolf
J. Mach. Learn. Res. 22, 90:1-90:42, 2021
9*2021
The probabilistic stability of stochastic gradient descent
L Ziyin, B Li, T Galanti, M Ueda
arXiv preprint arXiv:2303.13093, 2023
82023
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Articles 1–20