← Models
Deep Learning › Models ›

Variational Inference

1946 directly classified papers

Papers per year

Papers

Hierarchical VAEs provide a normative account of motion processing in the primate brain NIPS 2023
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data JMLR 2023
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations JMLR 2023
Monotonic Alpha-divergence Minimisation for Variational Inference JMLR 2023
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023
Markovian Gaussian Process Variational Autoencoders ICML 2023
Complementary Intrinsics From Neural Radiance Fields and CNNs for Outdoor Scene Relighting CVPR 2023
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders JMLR 2023
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows NIPS 2023
Differentiable Random Partition Models NIPS 2023
Variational Gaussian processes for linear inverse problems NIPS 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023
Variational Inference with Gaussian Score Matching NIPS 2023
Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States NIPS 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NIPS 2023
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking CVPR 2023
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation CVPR 2023
Gradient-Free Kernel Stein Discrepancy NIPS 2023
Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction CVPR 2023
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions NIPS 2023
Flat Seeking Bayesian Neural Networks NIPS 2023
Dynamic Mesh Recovery from Partial Point Cloud Sequence ICCV 2023
Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection CVPR 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations ICML 2023
Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction ICCV 2023