Diffusevae: Efficient, controllable and high-fidelity generation from low-dimensional latents K Pandey, A Mukherjee, P Rai, A Kumar arXiv preprint arXiv:2201.00308, 2022 | 78 | 2022 |
Vaes meet diffusion models: Efficient and high-fidelity generation K Pandey, A Mukherjee, P Rai, A Kumar NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021 | 15 | 2021 |
Inference of cell state transitions and cell fate plasticity from single-cell with MARGARET K Pandey, H Zafar Nucleic Acids Research 50 (15), e86-e86, 2022 | 11 | 2022 |
A complete recipe for diffusion generative models K Pandey, S Mandt Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3* | 2023 |
Efficient Integrators for Diffusion Generative Models K Pandey, M Rudolph, S Mandt arXiv preprint arXiv:2310.07894, 2023 | 1 | 2023 |
On the Challenges and Opportunities in Generative AI L Manduchi, K Pandey, R Bamler, R Cotterell, S Däubener, S Fellenz, ... arXiv preprint arXiv:2403.00025, 2024 | | 2024 |
Towards Fast Stochastic Sampling in Diffusion Generative Models K Pandey, M Rudolph, S Mandt arXiv preprint arXiv:2402.07211, 2024 | | 2024 |