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Score-based generative models exhibit state of the art performance on density estimation and generative modeling tasks.
Diagonal equivalence to matrices with prescribed row and column sums
Sinkhorn, R · 1967
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Time reversal of diffusions
Haussmann, U. G. and Pardoux, E · 1986
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A stochastic estimator of the trace of the influence matrix for Laplacian smoothing splines
Hutchinson, M. F · 1989
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From the Schrödinger problem to the Monge–Kantorovich problem
Léonard, C · 2012
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Entropic and displacement interpolation: a computational approach using the Hilbert metric
Chen, Y., Georgiou, T., and Pavon, M · 2016
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Global active archive of large flood events
Brakenridge, G · 2017
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Introduction to Riemannian manifolds
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Time reversal of diffusion processes under a finite entropy condition
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Diffusion Schrödinger bridge with applications to score-based generative modeling
Solving Schrödinger bridges via maximum likelihood
Vargas, F., Thodoroff, P., Lamacraft, A., and Lawrence, N · 2021
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Likelihood training of Schrödinger bridge using forward-backward SDEs theory
Chen, T., Liu, G.-H., and Theodorou, E. A · 2022
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Riemannian score-based generative modeling
De Bortoli, V., Mathieu, E., Hutchinson, M., Thornton, J., Teh, Y. W., and Doucet, A · 2022
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Torsional diffusion for molecular conformer generation
Jing, B., Corso, G., Barzilay, R., and Jaakkola, T. S · 2022
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Stability of Schrödinger potentials and convergence of Sinkhorn’s algorithm
Nutz, M. and Wiesel, J · 2022
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De Bortoli, V., Thornton, J., Heng, J., and Doucet, A · 2021
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Denoising diffusion implicit models
Song, J., Meng, C., and Ermon, S
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Score-based generative modeling through stochastic differential equations
Song, Y., Sohl-Dickstein, J., Kingma, D. P., Kumar, A., Ermon, S., and Poole, B
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Xiao, Z., Kreis, K., and Vahdat, A · 2022
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