| Zeroth-order sampling methods for non-log-concave distributions: Alleviating metastability by denoising diffusion Y He, K Rojas, M Tao Advances in Neural Information Processing Systems 37, 71122-71161, 2024 | 22 | 2024 |
| Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces K Rojas, Y Zhu, S Zhu, FXF Ye, M Tao arXiv preprint arXiv:2506.07903, 2025 | 11 | 2025 |
| Theory-informed improvements to classifier-free guidance for discrete diffusion models K Rojas, Y He, CH Lai, Y Takida, Y Mitsufuji, M Tao arXiv preprint arXiv:2507.08965, 2025 | 5 | 2025 |
| Improving reasoning for diffusion language models via group diffusion policy optimization K Rojas, J Lin, K Rasul, A Schneider, Y Nevmyvaka, M Tao, W Deng arXiv preprint arXiv:2510.08554, 2025 | 4 | 2025 |
| What Exactly Does Guidance Do in Masked Discrete Diffusion Models H Ye, R Kevin, T Molei arXiv preprint arXiv:2506.10971, 2025 | 4 | 2025 |
| Variational Schr\" odinger Momentum Diffusion K Rojas, Y Tan, M Tao, Y Nevmyvaka, W Deng arXiv preprint arXiv:2501.16675, 2025 | 2 | 2025 |
| DFU: scale-robust diffusion model for zero-shot super-resolution image generation A Havrilla, K Rojas, W Liao, M Tao arXiv preprint arXiv:2401.06144, 2023 | 1 | 2023 |
| Dual Fourier Unet: scale-robust diffusion model for zero-shot super-resolution image generation A Havrilla, K Rojas, W Liao, M Tao NeurIPS 2023 Workshop on Diffusion Models, 2023 | | 2023 |
