Generative Models

Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation ACL 2022 Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints NeurIPS 2022 Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness NeurIPS 2022 Physical Simulation Layer for Accurate 3D Modeling CVPR 2022 Poisson Flow Generative Models NeurIPS 2022 Private Set Generation with Discriminative Information NeurIPS 2022 Regularized Molecular Conformation Fields NeurIPS 2022 Retrieval-Augmented Diffusion Models NeurIPS 2022 Whitening Convergence Rate of Coupling-based Normalizing Flows NeurIPS 2022 Zero-Shot Logit Adjustment IJCAI 2022 Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation CVPR 2021 A Unified View of cGANs with and without Classifiers NeurIPS 2021 A Variational Perspective on Diffusion-Based Generative Models and Score Matching NeurIPS 2021 CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator NeurIPS 2021 CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation NeurIPS 2021 CTAB-GAN: Effective Table Data Synthesizing ACML 2021 Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data NeurIPS 2021 Densely connected normalizing flows NeurIPS 2021 Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling NeurIPS 2021 Dual Contradistinctive Generative Autoencoder CVPR 2021 Flow-Based Kernel Prior With Application to Blind Super-Resolution CVPR 2021 Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design ICML 2021 Implicit Generative Copulas NeurIPS 2021 Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions NeurIPS 2021 LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity CVPR 2021