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Generative Models

197 papers

Papers per year

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14
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Papers

Conditional Loss and Deep Euler Scheme for Time Series Generation AAAI 2022
Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation ACL 2022
Dynamic Dual-Output Diffusion Models CVPR 2022
Generating High Fidelity Data From Low-Density Regions Using Diffusion Models CVPR 2022
Physical Simulation Layer for Accurate 3D Modeling CVPR 2022
Gradient-based Constrained Sampling from Language Models EMNLP 2022
Model Criticism for Long-Form Text Generation EMNLP 2022
It’s Raw! Audio Generation with State-Space Models ICML 2022
Zero-Shot Logit Adjustment IJCAI 2022
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator NIPS 2021
Modified Frank Wolfe in Probability Space NIPS 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions NIPS 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds NIPS 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling NIPS 2021
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data NIPS 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching NIPS 2021
Densely connected normalizing flows NIPS 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation NIPS 2021
Implicit Generative Copulas NIPS 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows NIPS 2021
A Unified View of cGANs with and without Classifiers NIPS 2021
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization AAAI 2021
Flow-Based Kernel Prior With Application to Blind Super-Resolution CVPR 2021
Dual Contradistinctive Generative Autoencoder CVPR 2021
Partition-Guided GANs CVPR 2021