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Variational Inference

1,952 papers

Papers per year

2
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31
252
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Papers

Latent SDEs on Homogeneous Spaces NIPS 2023
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs NIPS 2023
Collapsed Inference for Bayesian Deep Learning NIPS 2023
Fine-Tuning Generative Models as an Inference Method for Robotic Tasks CORL 2023
Stochastic Occupancy Grid Map Prediction in Dynamic Scenes CORL 2023
Knowledge Graph Embedding by Normalizing Flows AAAI 2023
Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows AAAI 2023
Continuous Mixtures of Tractable Probabilistic Models AAAI 2023
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks AAAI 2023
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process AAAI 2023
Causal Recurrent Variational Autoencoder for Medical Time Series Generation AAAI 2023
Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective AAAI 2023
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models AAAI 2023
Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations AAAI 2023
Latent Autoregressive Source Separation AAAI 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning AAAI 2023
BridgeTower: Building Bridges between Encoders in Vision-Language Representation Learning AAAI 2023
Disentangled Representation for Causal Mediation Analysis AAAI 2023
Learning Dynamic Latent Spaces for Lifelong Generative Modelling AAAI 2023
Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy AAAI 2023
Continual Variational Autoencoder via Continual Generative Knowledge Distillation AAAI 2023
Neural Dynamic Focused Topic Model AAAI 2023
UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis AAAI 2023
Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry AAAI 2023
Disentangled CVAEs with Contrastive Learning for Explainable Recommendation AAAI 2023