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Generative Models

6,381 papers

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Papers

Variational Sparse Coding with Learned Thresholding ICML 2022
Principled Knowledge Extrapolation with GANs ICML 2022
A Neural Tangent Kernel Perspective of GANs ICML 2022
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data ICML 2022
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization ICML 2022
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity ICML 2022
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields ICML 2022
G-Mixup: Graph Data Augmentation for Graph Classification ICML 2022
General-purpose, long-context autoregressive modeling with Perceiver AR ICML 2022
Conditional GANs with Auxiliary Discriminative Classifier ICML 2022
Forward Operator Estimation in Generative Models with Kernel Transfer Operators ICML 2022
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design ICML 2022
Biological Sequence Design with GFlowNets ICML 2022
Training Your Sparse Neural Network Better with Any Mask ICML 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization ICML 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations ICML 2022
Efficient Approximate Inference for Stationary Kernel on Frequency Domain ICML 2022
Composing Partial Differential Equations with Physics-Aware Neural Networks ICML 2022
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation ICML 2022
Generative Cooperative Networks for Natural Language Generation ICML 2022
Marginal Tail-Adaptive Normalizing Flows ICML 2022
Neural Inverse Transform Sampler ICML 2022
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows ICML 2022
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling ICML 2022
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching ICML 2022