| Dataset distillation by matching training trajectories G Cazenavette, T Wang, A Torralba, AA Efros, JY Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 211 | 2022 |
| Laying the foundation to use Raspberry Pi 3 V2 camera module imagery for scientific and engineering purposes MA Pagnutti, RE Ryan, GJ Cazenavette, MJ Gold, R Harlan, E Leggett, ... Journal of Electronic Imaging 26 (1), 013014, 2017 | 139 | 2017 |
| Generalizing dataset distillation via deep generative prior G Cazenavette, T Wang, A Torralba, AA Efros, JY Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 31 | 2023 |
| Diffusion with forward models: Solving stochastic inverse problems without direct supervision A Tewari, T Yin, G Cazenavette, S Rezchikov, J Tenenbaum, F Durand, ... Advances in Neural Information Processing Systems 36, 2024 | 30 | 2024 |
| Architectural adversarial robustness: The case for deep pursuit G Cazenavette, C Murdock, S Lucey Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 23 | 2021 |
| MixerGAN: An MLP-based architecture for unpaired image-to-image translation G Cazenavette, ML De Guevara arXiv preprint arXiv:2105.14110, 2021 | 12 | 2021 |
| Towards lossless dataset distillation via difficulty-aligned trajectory matching Z Guo, K Wang, G Cazenavette, H Li, K Zhang, Y You arXiv preprint arXiv:2310.05773, 2023 | 9 | 2023 |
| Wearable imagenet: Synthesizing tileable textures via dataset distillation G Cazenavette, T Wang, A Torralba, AA Efros, JY Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 7 | 2022 |
| Reframing neural networks: deep structure in overcomplete representations C Murdock, G Cazenavette, S Lucey IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 964-979, 2022 | 3 | 2022 |
| On the bias against inductive biases G Cazenavette, S Lucey arXiv preprint arXiv:2105.14077, 2021 | 1 | 2021 |
| Generalizing Dataset Distillation via Deep Generative Prior Supplemental Material G Cazenavette, T Wang, A Torralba, AA Efros, JY Zhu, AM Visualizations | | |
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
