| Variational Sparse Coding with Learned Thresholding K Fallah, CJ Rozell Proceedings of the 39th International Conference on Machine Learning, 2022 | 10 | 2022 |
| Learning Identity-Preserving Transformations on Data Manifolds M Connor, K Fallah, C Rozell arXiv preprint arXiv:2106.12096, 2021 | 5 | 2021 |
| Learning sparse codes from compressed representations with biologically plausible local wiring constraints K Fallah, A Willats, N Liu, C Rozell Advances in Neural Information Processing Systems 33, 2020 | 4 | 2020 |
| Manifold Contrastive Learning with Variational Lie Group Operators K Fallah, A Helbling, KA Johnsen, CJ Rozell arXiv preprint arXiv:2306.13544, 2023 | 2 | 2023 |
| Active Learning of Ordinal Embeddings: A User Study on Football Data C Löffler, K Fallah, S Fenu, D Zanca, B Eskofier, CJ Rozell, C Mutschler arXiv preprint arXiv:2207.12710, 2022 | 2 | 2022 |
| Learning to Drive via Asymmetric Self-Play C Zhang, S Biswas, K Wong, K Fallah, L Zhang, D Chen, S Casas, ... European Conference on Computer Vision, 149-168, 2024 | 1 | 2024 |
| PrefGen: Preference Guided Image Generation with Relative Attributes A Helbling, CJ Rozell, M O'Shaughnessy, K Fallah arXiv preprint arXiv:2304.00185, 2023 | 1 | 2023 |
| Manifold Learning of Neural Representations for Efficient Machine Learning Systems K Fallah Georgia Institute of Technology, Atlanta, GA, USA, 2024 | | 2024 |
| Oracle Guided Image Synthesis with Relative Queries A Helbling, CJ Rozell, M O'Shaughnessy, K Fallah ICLR Workshop on Deep Generative Models for Highly Structured Data, 2022 | | 2022 |
Christopher RozellJulian T. Hightower Chaired Professor of Electrical & Computer Engineering, Georgia TechVerified email at gatech.edu
