| 2025 | ICLR | Formation of Representations in Neural Networks. | Liu Ziyin, Isaac L. Chuang, Tomer Galanti, Tomaso A. Poggio |
| 2025 | ICLR | Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference. | Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon-Kiwkowitz, David Harel |
| 2023 | ICML | Feature learning in deep classifiers through Intermediate Neural Collapse. | Akshay Rangamani, Marius Lindegaard, Tomer Galanti, Tomaso A. Poggio |
| 2022 | ECCV | Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models. | Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka |
| 2022 | ICLR | On the Role of Neural Collapse in Transfer Learning. | Tomer Galanti, Andrs Gyrgy, Marcus Hutter |
| 2021 | UAI | On random kernels of residual architectures. | Etai Littwin, Tomer Galanti, Lior Wolf |
| 2019 | AIES | A Formal Approach to Explainability. | Lior Wolf, Tomer Galanti, Tamir Hazan |
| 2019 | ICCV | Domain Intersection and Domain Difference. | Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf |
| 2019 | ICLR | Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. | Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf |
| 2019 | ICLR | Unsupervised Learning of the Set of Local Maxima. | Lior Wolf, Sagie Benaim, Tomer Galanti |
| 2018 | ECCV | Estimating the Success of Unsupervised Image to Image Translation. | Sagie Benaim, Tomer Galanti, Lior Wolf |
| 2018 | ICLR | The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings. | Tomer Galanti, Lior Wolf, Sagie Benaim |