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Generative Models

197 directly classified papers

Papers per year

Papers

A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing ACL 2023
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma AAAI 2023
Diffusing Gaussian Mixtures for Generating Categorical Data AAAI 2023
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion NIPS 2023
SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis NIPS 2023
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation NIPS 2023
Poisoning Generative Replay in Continual Learning to Promote Forgetting ICML 2023
Autoregressive Diffusion Model for Graph Generation ICML 2023
Exploring Chemical Space with Score-based Out-of-distribution Generation ICML 2023
Scaling Up GANs for Text-to-Image Synthesis CVPR 2023
Regularized Molecular Conformation Fields NIPS 2022
Poisson Flow Generative Models NIPS 2022
Retrieval-Augmented Diffusion Models NIPS 2022
Private Set Generation with Discriminative Information NIPS 2022
Are GANs overkill for NLP? NIPS 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
Low-Light Image Enhancement with Normalizing Flow AAAI 2022
It’s Raw! Audio Generation with State-Space Models ICML 2022
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data NIPS 2022
Conditional Loss and Deep Euler Scheme for Time Series Generation AAAI 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows NIPS 2022
Amortized Projection Optimization for Sliced Wasserstein Generative Models NIPS 2022