| Star-shaped denoising diffusion probabilistic models A Okhotin, D Molchanov, A Vladimir, G Bartosh, V Ohanesian, A Alanov, ... Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Neural Diffusion Models G Bartosh, D Vetrov, CA Naesseth arXiv preprint arXiv:2310.08337, 2023 | 2 | 2023 |
| Variational Flow Matching for Graph Generation F Eijkelboom, G Bartosh, CA Naesseth, M Welling, JW van de Meent arXiv preprint arXiv:2406.04843, 2024 | | 2024 |
| Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling G Bartosh, D Vetrov, CA Naesseth arXiv preprint arXiv:2404.12940, 2024 | | 2024 |
| TEncDM: Understanding the Properties of Diffusion Model in the Space of Language Model Encodings A Shabalin, V Meshchaninov, T Badmaev, D Molchanov, G Bartosh, ... arXiv preprint arXiv:2402.19097, 2024 | | 2024 |
Dmitry VetrovProfessor of Computer Science at Constructor University, BremenVerified email at constructor.university
