| Diffusion models as plug-and-play priors A Graikos, N Malkin, N Jojic, D Samaras Advances in Neural Information Processing Systems 35, 14715-14728, 2022 | 113 | 2022 |
| GFlowNet-EM for learning compositional latent variable models EJ Hu, N Malkin, M Jain, KE Everett, A Graikos, Y Bengio International Conference on Machine Learning, 13528-13549, 2023 | 22 | 2023 |
| Single image-based food volume estimation using monocular depth-prediction networks A Graikos, V Charisis, D Iakovakis, S Hadjidimitriou, L Hadjileontiadis Universal Access in Human-Computer Interaction. Applications and Practice …, 2020 | 15 | 2020 |
| Resolving label uncertainty with implicit posterior models E Rolf, N Malkin, A Graikos, A Jojic, C Robinson, N Jojic arXiv preprint arXiv:2202.14000, 2022 | 8 | 2022 |
| PathLDM: Text conditioned latent diffusion model for histopathology S Yellapragada, A Graikos, P Prasanna, T Kurc, J Saltz, D Samaras Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 3 | 2024 |
| S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces H Wu, A Graikos, D Samaras Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Learned representation-guided diffusion models for large-image generation A Graikos, S Yellapragada, MQ Le, S Kapse, P Prasanna, J Saltz, ... arXiv preprint arXiv:2312.07330, 2023 | 1 | 2023 |
| Conditional generation from unconditional diffusion models using denoiser representations A Graikos, S Yellapragada, D Samaras arXiv preprint arXiv:2306.01900, 2023 | 1 | 2023 |
| Resolving label uncertainty with implicit generative models E Rolf, N Malkin, A Graikos, A Jojic, C Robinson, N Jojic | 1 | 2021 |
