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Results: 5
Number of items: 5
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Bartosh, G., Vetrov, D., & Naesseth, C. A. (2025). Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), 38th Conference on Neural Information Processing Systems (NeurIPS 2024): 10-15 December 2024, Vancouver, Canada (pp. 73952-73985). (Advances in Neural Information Processing Systems; Vol. 37). Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-2352 -
Bartosh, G., Vetrov, D., & Naesseth, C. A. (2025). SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations. Proceedings of Machine Learning Research, 267, 3054-3070. https://proceedings.mlr.press/v267/bartosh25a.html
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Eijkelboom, F., Bartosh, G., Naesseth, C. A., Welling, M., & van de Meent, J.-W. (2025). Variational Flow Matching for Graph Generation. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), 38th Conference on Neural Information Processing Systems (NeurIPS 2024): 10-15 December 2024, Vancouver, Canada (pp. 11735-11764). (Advances in Neural Information Processing Systems; Vol. 37). Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-0374
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Cornet, F., Bartosh, G., Schmidt, M. N., & Naesseth, C. A. (2025). Equivariant Neural Diffusion for Molecule Generation. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), 38th Conference on Neural Information Processing Systems (NeurIPS 2024): 10-15 December 2024, Vancouver, Canada (pp. 49429-49460). (Advances in Neural Information Processing Systems; Vol. 37). Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-1564
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Bartosh, G., Vetrov, D., & Naesseth, C. A. (2024). Neural Diffusion Models. Proceedings of Machine Learning Research, 235, 3073-3095. https://proceedings.mlr.press/v235/bartosh24a.html
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