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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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Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem*Brian L. Trippe1, Jason Yim1, Doug Tischer, Tamara Broderick, David Baker, Regina Barzilay, Tommi JaakkolaarXiv 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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Guided Diffusion Model for Adversarial PurificationJinyi Wang1, Zhaoyang Lyu1, Dahua Lin, Bo Dai, Hongfei FuarXiv 2022. Paper  2022-05-302022-05-30
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Diffusion-LM Improves Controllable Text GenerationXiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. HashimotoarXiv 2022. Paper  2022-05-272022-05-27
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Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic ModelsNamrata Anand, Tudor Achim2022-05-262022-05-26
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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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Diffusion Models for Adversarial PurificationWeili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Anima Anandkumar2022-05-162022-05-16
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Bayesian Learning via Stochastic Gradient Langevin DynamicsMax Welling, Yee Whye Teh2022-04-202022-04-20
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A Score-based Geometric Model for Molecular Dynamics SimulationsFang Wu1, Qiang Zhang1, Xurui Jin, Yinghui Jiang, Stan Z. LiarXiv 2022. Paper  2022-04-192022-04-19
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Equivariant Diffusion for Molecule Generation in 3DEmiel Hoogeboom1, Victor Garcia Satorras1, Clément Vignac, Max WellingarXiv 2022. Paper  2022-03-312022-03-31
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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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GeoDiff: a Geometric Diffusion Model for Molecular Conformation GenerationMinkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian TangICLR 2022. Paper  2022-03-062022-03-06
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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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TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic modelsTijin Yan, Tong Zhou, Yufeng Zhan, Yuanqing XiaarXiv 2021. Paper  2021-12-202021-12-20
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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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Zero-Shot Translation using Diffusion ModelsEliya Nachmani1, Shaked Dovrat1arXiv 2021. 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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CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series ImputationYusuke Tashiro, Jiaming Song, Yang Song, Stefano Ermon2021-07-072021-07-07
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ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative ModelsTijin Yan, Hongwei Zhang, Tong Zhou, Yufeng Zhan, Yuanqing Xia2021-06-182021-06-18
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Adversarial purification with Score-based generative modelsJongmin Yoon, Sung Ju Hwang, Juho Lee2021-06-112021-06-11
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Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series ForecastingKashif Rasul, Calvin Seward, Ingmar Schuster, Roland Vollgraf2021-02-022021-02-02
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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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A Connection Between Score Matching and Denoising AutoencodersPascal VincentNeural Computation 2011. Paper  2011-07-072011-07-07
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