Generative Adversarial Perturbations O Poursaeed, I Katsman, B Gao, S Belongie IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), 2018 | 424 | 2018 |
Enhancing Adversarial Example Transferability with an Intermediate Level Attack Q Huang, I Katsman, H He, Z Gu, S Belongie, SN Lim IEEE International Conference on Computer Vision (ICCV 2019), 2019 | 265 | 2019 |
Differentiating through the Fréchet Mean A Lou, I Katsman, Q Jiang, S Belongie, SN Lim, C De Sa International Conference on Machine Learning (ICML 2020), 2020 | 84 | 2020 |
Neural Manifold Ordinary Differential Equations A Lou, D Lim, I Katsman, L Huang, Q Jiang, SN Lim, C De Sa Advances in Neural Information Processing Systems (NeurIPS 2020), 2020 | 76 | 2020 |
Equivariant Manifold Flows I Katsman, A Lou, D Lim, Q Jiang, SN Lim, C De Sa Advances in Neural Information Processing Systems (NeurIPS 2021), 2021 | 19 | 2021 |
Riemannian Residual Neural Networks I Katsman, EM Chen, S Holalkere, A Asch, A Lou, SN Lim, C De Sa Advances in Neural Information Processing Systems (NeurIPS 2023), 2023 | 9 | 2023 |
Riemannian Geometry in Machine Learning I Katsman | | 2022 |
Adversarial Example Decomposition H He, A Lou, Q Jiang, I Katsman, S Belongie, SN Lim International Conference on Machine Learning, Workshop on Security and …, 2019 | | 2019 |