 Vec2Face: Unveil Human Faces from their Blackbox Features in Face
RecognitionComputer Vision and Pattern Recognition (CVPR), 2020 |
 BayesFlow: Learning complex stochastic models with invertible neural
networksIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 |
 Generalized Energy Based ModelsInternational Conference on Learning Representations (ICLR), 2020 |
 Training Deep Energy-Based Models with f-Divergence MinimizationInternational Conference on Machine Learning (ICML), 2020 |
 Deterministic Decoding for Discrete Data in Variational AutoencodersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Daniil Polykovskiy Dmitry Vetrov |
 Gaussianization FlowsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 |
 Predictive Coding for Locally-Linear ControlInternational Conference on Machine Learning (ICML), 2020 |
 Permutation Invariant Graph Generation via Score-Based Generative
ModelingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 |
 Woodbury Transformations for Deep Generative FlowsNeural Information Processing Systems (NeurIPS), 2020 You Lu Bert Huang |
 Composing Normalizing Flows for Inverse ProblemsInternational Conference on Machine Learning (ICML), 2020 |
 Modeling Continuous Stochastic Processes with Dynamic Normalizing FlowsNeural Information Processing Systems (NeurIPS), 2020 |
 Predictive Sampling with Forecasting Autoregressive ModelsInternational Conference on Machine Learning (ICML), 2020 |
 VFlow: More Expressive Generative Flows with Variational Data
AugmentationInternational Conference on Machine Learning (ICML), 2020 |
 Regularized Autoencoders via Relaxed Injective Probability FlowInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 |
 Inductive Representation Learning on Temporal GraphsInternational Conference on Learning Representations (ICLR), 2020 |
 Source Separation with Deep Generative PriorsInternational Conference on Machine Learning (ICML), 2020 |
 Learning Bijective Feature Maps for Linear ICAInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 |
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 Deep Gaussian Markov Random FieldsInternational Conference on Machine Learning (ICML), 2020 Per Sidén Fredrik Lindsten |
 Stochastic Normalizing FlowsNeural Information Processing Systems (NeurIPS), 2020 |
 Latent Normalizing Flows for Many-to-Many Cross-Domain MappingsInternational Conference on Learning Representations (ICLR), 2020 |
 Latent Variable Modelling with Hyperbolic Normalizing FlowsInternational Conference on Machine Learning (ICML), 2020 |
 Multivariate Probabilistic Time Series Forecasting via Conditioned
Normalizing FlowsInternational Conference on Learning Representations (ICLR), 2020 |
 Targeted free energy estimation via learned mappingsJournal of Chemical Physics (JCP), 2020 |
 Kullback-Leibler Divergence-Based Out-of-Distribution Detection with
Flow-Based Generative ModelsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 |
 How to train your neural ODE: the world of Jacobian and kinetic
regularizationInternational Conference on Machine Learning (ICML), 2020 |
 Closing the Dequantization Gap: PixelCNN as a Single-Layer FlowNeural Information Processing Systems (NeurIPS), 2020 |
 Normalizing Flows on Tori and SpheresInternational Conference on Machine Learning (ICML), 2020 |
 Policy Gradient based Quantum Approximate Optimization AlgorithmMathematical and Scientific Machine Learning (MSML), 2020 |
 Automatic structured variational inferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 |
 Time-Domain Audio Source Separation Based on Wave-U-Net Combined with
Discrete Wavelet TransformIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Tomohiko Nakamura Hiroshi Saruwatari |
 GraphAF: a Flow-based Autoregressive Model for Molecular Graph
GenerationInternational Conference on Learning Representations (ICLR), 2020 |
 Safe Robot Navigation via Multi-Modal Anomaly DetectionIEEE Robotics and Automation Letters (RA-L), 2020 |
 Invertible Generative Modeling using Linear Rational SplinesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 |
