| On the Modularity of Hypernetworks T Galanti, L Wolf Advances in Neural Information Processing Systems 33, 10409-10419, 2020 | 43 | 2020 |
| 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 | 38 | 2022 |
| 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 | 37 | 2016 |
| 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 | 34 | 2018 |
| 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 the Role of Neural Collapse in Transfer Learning T Galanti, A György, M Hutter International Conference on Learning Representations (ICLR), 2021 | 25 | 2021 |
| Domain Intersection and Domain Difference S Benaim, M Khaitov, T Galanti, L Wolf Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 23 | 2019 |
| Evaluation metrics for conditional image generation Y Benny, T Galanti, S Benaim, L Wolf International Journal of Computer Vision 129, 1712-1731, 2021 | 21 | 2021 |
| On Infinite-Width Hypernetworks E Littwin*, T Galanti*, L Wolf, G Yang, (*equal contributions) Advances in Neural Information Processing Systems 33, 2020 | 20* | 2020 |
| A Formal Approach to Explainability L Wolf, T Galanti, T Hazan AAAI/ACM Conference on Artificial Intelligence, Ethics and Society 2, 2019 | 19 | 2019 |
| 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 | 12* | 2023 |
| 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 | 11 | 2018 |
| SGD and Weight Decay Provably Induce a Low-Rank Bias in Neural Networks T Galanti, Z Siegel, A Gupte, T Poggio Center for Brains, Minds and Machines (CBMM), 2022 | 9* | 2022 |
| 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 | 8* | 2021 |
| Unsupervised learning of the set of local maxima L Wolf, S Benaim, T Galanti International Conference on Learning Representations (ICLR), 2020 | 7 | 2020 |
| A Critical View of the Structural Causal Model T Galanti, O Nabati, L Wolf arXiv preprint arXiv:2002.10007, 2020 | 6 | 2020 |
| A theory of output-side unsupervised domain adaptation T Galanti, L Wolf arXiv preprint arXiv:1703.01606, 2017 | 6 | 2017 |
| Improved Generalization Bounds for Transfer Learning via Neural Collapse T Galanti, A György, M Hutter First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at …, 2022 | 5 | 2022 |
| On the Implicit Bias Towards Minimal Depth of Deep Neural Networks T Galanti, L Galanti, I Ben-Shaul arXiv preprint arXiv:2202.09028, 2022 | 4 | 2022 |
| Meta internal learning R Bensadoun, S Gur, T Galanti, L Wolf Advances in Neural Information Processing Systems 34, 20645-20656, 2021 | 4 | 2021 |
Lior WolfThe School of Computer Science at Tel Aviv UniversityVerified email at cs.tau.ac.il
