Generative Models

Poisoning Generative Replay in Continual Learning to Promote Forgetting ICML 2023 Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting NeurIPS 2023 Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark NeurIPS 2023 Reinforcement Learning for Topic Models ACL 2023 Scaling Up GANs for Text-to-Image Synthesis CVPR 2023 SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis NeurIPS 2023 TabMT: Generating tabular data with masked transformers NeurIPS 2023 Text Augmentation Using Dataset Reconstruction for Low-Resource Classification ACL 2023 Trans-Dimensional Generative Modeling via Jump Diffusion Models NeurIPS 2023 UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models NeurIPS 2023 Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation NeurIPS 2023 A Kernelised Stein Statistic for Assessing Implicit Generative Models NeurIPS 2022 Amortized Projection Optimization for Sliced Wasserstein Generative Models NeurIPS 2022 Are GANs overkill for NLP? NeurIPS 2022 Conditional Loss and Deep Euler Scheme for Time Series Generation AAAI 2022 Dynamic Dual-Output Diffusion Models CVPR 2022 First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data NeurIPS 2022 Generating High Fidelity Data From Low-Density Regions Using Diffusion Models CVPR 2022 Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN) NeurIPS 2022 Gradient-based Constrained Sampling from Language Models EMNLP 2022 GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs NeurIPS 2022 Hiding Images in Deep Probabilistic Models NeurIPS 2022 It’s Raw! Audio Generation with State-Space Models ICML 2022 Low-Light Image Enhancement with Normalizing Flow AAAI 2022 Model Criticism for Long-Form Text Generation EMNLP 2022