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Generative Models

6,381 papers

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Papers

Improved Denoising Diffusion Probabilistic Models ICML 2021
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points ICML 2021
Vector Quantized Models for Planning ICML 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification ICML 2021
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation ICML 2021
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders ICML 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting ICML 2021
Generative Particle Variational Inference via Estimation of Functional Gradients ICML 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding ICML 2021
Simple and Effective VAE Training with Calibrated Decoders ICML 2021
Learning Gradient Fields for Molecular Conformation Generation ICML 2021
GANMEX: One-vs-One Attributions using GAN-based Model Explainability ICML 2021
Moreau-Yosida $f$-divergences ICML 2021
Monte Carlo Variational Auto-Encoders ICML 2021
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model ICML 2021
PixelTransformer: Sample Conditioned Signal Generation ICML 2021
Deep Generative Learning via Schrödinger Bridge ICML 2021
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings ICML 2021
A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting ICML 2021
Solving Inverse Problems with a Flow-based Noise Model ICML 2021
Composing Normalizing Flows for Inverse Problems ICML 2021
Conjugate Energy-Based Models ICML 2021
Adversarial Purification with Score-based Generative Models ICML 2021
Whittle Networks: A Deep Likelihood Model for Time Series ICML 2021
Learning Generalized Intersection Over Union for Dense Pixelwise Prediction ICML 2021