Showing 1–19 of 19 results
/ Date/ Name
Feb 6, 2022Riemannian Score-Based Generative ModellingMay 31, 2022Learning Instance-Specific Augmentations by Capturing Local InvariancesJun 18, 2020Riemannian Continuous Normalizing FlowsJun 25, 2021On Incorporating Inductive Biases into VAEsDec 6, 2018Disentangling Disentanglement in Variational AutoencodersJun 18, 2021On Contrastive Representations of Stochastic ProcessesJul 11, 2023Geometric Neural Diffusion ProcessesAug 20, 2023SE(3) Equivariant Augmented Coupling FlowsJan 17, 2019Continuous Hierarchical Representations with Poincaré Variational Auto-EncodersDec 14, 2023A framework for conditional diffusion modelling with applications in motif scaffolding for protein designFeb 5, 2023SE(3) diffusion model with application to protein backbone generationJan 8, 2024Improved motif-scaffolding with SE(3) flow matchingOct 21, 2024On conditional diffusion models for PDE simulationsApr 11, 2023Diffusion Models for Constrained DomainsJul 9, 2018Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse NetworksJul 7, 2022Riemannian Diffusion Schrödinger BridgeSep 28, 2022Spectral Diffusion ProcessesJun 3, 2024DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-transformJul 11, 2023Metropolis Sampling for Constrained Diffusion Models