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Variational Inference

1946 directly classified papers

Papers per year

Papers

Knowledge Distillation via Constrained Variational Inference AAAI 2022
Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations AAAI 2022
Posterior Matching for Arbitrary Conditioning NIPS 2022
Hierarchical and Multi-Scale Variational Autoencoder for Diverse and Natural Non-Autoregressive Text-to-Speech INTERSPEECH 2022
VACA: Designing Variational Graph Autoencoders for Causal Queries AAAI 2022
Total Variation Optimization Layers for Computer Vision CVPR 2022
Fully Spiking Variational Autoencoder AAAI 2022
Latent Time Neural Ordinary Differential Equations AAAI 2022
Graph Structure Learning with Variational Information Bottleneck AAAI 2022
Latent Space Explanation by Intervention AAAI 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE ACML 2022
Posterior Collapse of a Linear Latent Variable Model NIPS 2022
Semi-Supervised Generative Models for Multiagent Trajectories NIPS 2022
Flowification: Everything is a normalizing flow NIPS 2022
Multi-Sample Training for Neural Image Compression NIPS 2022
Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022
Cross-Linked Unified Embedding for cross-modality representation learning NIPS 2022
HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis NIPS 2022
Hiding Images in Deep Probabilistic Models NIPS 2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning ICML 2022
Identifiability of deep generative models without auxiliary information NIPS 2022
Concentration of Data Encoding in Parameterized Quantum Circuits NIPS 2022
Laplacian Autoencoders for Learning Stochastic Representations NIPS 2022
Path-Gradient Estimators for Continuous Normalizing Flows ICML 2022
Wasserstein Iterative Networks for Barycenter Estimation NIPS 2022