Showing 1–20 of 24 results
/ Date/ Name
Jan 30, 2019Emerging Convolutions for Generative Normalizing FlowsJul 16, 2021Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic ModelsJun 17, 2025Accurate and scalable exchange-correlation with deep learningFeb 1, 2023Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular DynamicsMay 17, 2019Integer Discrete Flows and Lossless CompressionOct 5, 2021Autoregressive Diffusion ModelsJun 22, 2020IDF++: Analyzing and Improving Integer Discrete Flows for Lossless CompressionJul 7, 2021Structured Denoising Diffusion Models in Discrete State-SpacesMar 17, 2017Modeling Relational Data with Graph Convolutional NetworksOct 2, 2018Sinkhorn AutoEncodersJun 10, 2021Gradual Domain Adaptation in the Wild:When Intermediate Distributions are AbsentJun 7, 2017Graph Convolutional Matrix CompletionJun 17, 2025Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical spaceJun 18, 2019Differentiable probabilistic models of scientific imaging with the Fourier slice theoremOct 12, 2018Predictive Uncertainty through QuantizationAug 3, 2020A Spectral Energy Distance for Parallel Speech SynthesisMar 15, 2018Sylvester Normalizing Flows for Variational InferenceJul 24, 2014Competing interactions in semiconductor quantum dotsSep 30, 2022Protein structure generation via folding diffusionSep 8, 2022Clifford Neural Layers for PDE Modeling