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Generative Models

7,221 papers

Papers per year

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Papers

Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods NIPS 2021
Improving black-box optimization in VAE latent space using decoder uncertainty NIPS 2021
Alias-Free Generative Adversarial Networks NIPS 2021
Maximum Likelihood Training of Score-Based Diffusion Models NIPS 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks NIPS 2021
Smooth Normalizing Flows NIPS 2021
Deep Self-Dissimilarities as Powerful Visual Fingerprints NIPS 2021
E(n) Equivariant Normalizing Flows NIPS 2021
Improving Robustness using Generated Data NIPS 2021
Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis NIPS 2021
Volume Rendering of Neural Implicit Surfaces NIPS 2021
Score-based Generative Neural Networks for Large-Scale Optimal Transport NIPS 2021
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines NIPS 2021
Posterior Collapse and Latent Variable Non-identifiability NIPS 2021
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder NIPS 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE NIPS 2021
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis NIPS 2021
A 3D Generative Model for Structure-Based Drug Design NIPS 2021
Manifold Topology Divergence: a Framework for Comparing Data Manifolds. NIPS 2021
HyperSPNs: Compact and Expressive Probabilistic Circuits NIPS 2021
Denoising Normalizing Flow NIPS 2021
Data-Efficient Instance Generation from Instance Discrimination NIPS 2021
Compositional Transformers for Scene Generation NIPS 2021
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements NIPS 2021
Towards understanding retrosynthesis by energy-based models NIPS 2021