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Variational Inference

1,952 papers

Papers per year

2
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31
252
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Papers

Topic Modeling Revisited: A Document Graph-based Neural Network Perspective NIPS 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling NIPS 2021
Structured Dropout Variational Inference for Bayesian Neural Networks NIPS 2021
Large-Scale Wasserstein Gradient Flows NIPS 2021
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning NIPS 2021
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck NIPS 2021
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency NIPS 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds NIPS 2021
Online Variational Filtering and Parameter Learning NIPS 2021
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression NIPS 2021
Model Selection for Bayesian Autoencoders NIPS 2021
Optimality of variational inference for stochasticblock model with missing links NIPS 2021
Uncertainty Quantification and Deep Ensembles NIPS 2021
Laplace Redux - Effortless Bayesian Deep Learning NIPS 2021
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition NIPS 2021
Nested Variational Inference NIPS 2021
Variational Inference for Continuous-Time Switching Dynamical Systems NIPS 2021
Amortized Variational Inference for Simple Hierarchical Models NIPS 2021
Variational Diffusion Models NIPS 2021
Learning Disentangled Behavior Embeddings NIPS 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization NIPS 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching NIPS 2021
Probabilistic Transformer For Time Series Analysis NIPS 2021
Multiwavelet-based Operator Learning for Differential Equations NIPS 2021
DiBS: Differentiable Bayesian Structure Learning NIPS 2021