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Generative Models

7,221 papers

Papers per year

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34
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Papers

Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training NIPS 2021
Particle Cloud Generation with Message Passing Generative Adversarial Networks NIPS 2021
Densely connected normalizing flows NIPS 2021
On the Stochastic Stability of Deep Markov Models NIPS 2021
On the Power of Edge Independent Graph Models NIPS 2021
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees NIPS 2021
Estimating High Order Gradients of the Data Distribution by Denoising NIPS 2021
Collapsed Variational Bounds for Bayesian Neural Networks NIPS 2021
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision NIPS 2021
Learning with Holographic Reduced Representations NIPS 2021
Implicit Generative Copulas NIPS 2021
Characterizing possible failure modes in physics-informed neural networks NIPS 2021
Artistic Style Transfer with Internal-external Learning and Contrastive Learning NIPS 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows NIPS 2021
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction NIPS 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation NIPS 2021
Instance-Conditioned GAN NIPS 2021
A Unified View of cGANs with and without Classifiers NIPS 2021
Identifiable Generative models for Missing Not at Random Data Imputation NIPS 2021
A generative nonparametric Bayesian model for whole genomes NIPS 2021
On Memorization in Probabilistic Deep Generative Models NIPS 2021
Conditional Generation Using Polynomial Expansions NIPS 2021
Topographic VAEs learn Equivariant Capsules NIPS 2021
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation NIPS 2021
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild NIPS 2021