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Neural Diffusion ProcessesVincent Dutordoir, Alan Saul, Zoubin Ghahramani, Fergus SimpsonarXiv 2022. Paper  2022-06-082022-06-08
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Theory and Algorithms for Diffusion Processes on Riemannian ManifoldsBowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi Jaakkola2022-06-012022-06-01
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Planning with Diffusion for Flexible Behavior SynthesisMichael Janner, Yilun Du, Joshua B. Tenenbaum, Sergey Levinearxiv 2022. Paper  2022-05-202022-05-20
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Stochastic Trajectory Prediction via Motion Indeterminacy DiffusionTianpei Gu1, Guangyi Chen1, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen LarXiv 2022. Paper  2022-03-252022-03-25
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Riemannian Score-Based Generative ModelingValentin De Bortoli1, Emile Mathieu1, Michael Hutchinson, James Thornton, Yee Whye Teh, Arnaud DoucetarXiv 2022. Paper  2022-02-062022-02-06
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Deep Diffusion Models for Robust Channel EstimationMarius Arvinte, Jonathan I Tamir2021-11-162021-11-16
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Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility informationPadmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien LuarXiv 2021. Paper  2021-11-092021-11-09
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Realistic galaxy image simulation via score-based generative modelsMichael J. Smith (Hertfordshire), James E. Geach, Ryan A. Jackson, Nikhil Arora, Connor Stone, Stéphane CourteauMNRAS 2022. Paper  2021-11-022021-11-02
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Crystal Diffusion Variational Autoencoder for Periodic Material GenerationTian Xie1, Xiang Fu1, Octavian-Eugen Ganea1, Regina Barzilay, Tommi JaakkolarXiv 2021. Paper  2021-10-122021-10-12
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Diffusion models for Handwriting GenerationTroy Luhman1, Eric Luhman12020-11-132020-11-13
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Permutation Invariant Graph Generation via Score-Based Generative ModelingChenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon2020-03-022020-03-02
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