Generative Model

Automatic Fact-Guided Sentence Modification AAAI 2020 Collaborative Sampling in Generative Adversarial Networks AAAI 2020 Compositional Visual Generation with Energy Based Models NeurIPS 2020 Efficient Learning of Generative Models via Finite-Difference Score Matching NeurIPS 2020 Exchangeable Generative Models with Flow Scans AAAI 2020 Guiding Deep Molecular Optimization with Genetic Exploration NeurIPS 2020 InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models AAAI 2020 On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond ACL 2020 Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NeurIPS 2020 Residual Energy-Based Models for Text Generation ICLR 2020 Wavelet Flow: Fast Training of High Resolution Normalizing Flows NeurIPS 2020 A Generative Adversarial Density Estimator CVPR 2019 A Solvable High-Dimensional Model of GAN NeurIPS 2019 BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN AAAI 2019 Compression with Flows via Local Bits-Back Coding NeurIPS 2019 Learning to Sample Hard Instances for Graph Algorithms ACML 2019 Theoretical guarantees for sampling and inference in generative models with latent diffusions COLT 2019 Discriminative Training of Sum-Product Networks by Extended Baum-Welch PGM 2018 GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets ICLR 2018 Generative modeling for protein structures NeurIPS 2018 Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation NeurIPS 2018 The Perception-Distortion Tradeoff CVPR 2018 Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017 Dual Discriminator Generative Adversarial Nets NeurIPS 2017 Predicting User Activity Level In Point Processes With Mass Transport Equation NeurIPS 2017