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Variational Inference

1,952 papers

Papers per year

2
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31
252
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Papers

Revisiting Structured Variational Autoencoders ICML 2023
Markovian Gaussian Process Variational Autoencoders ICML 2023
Cross-Domain Facial Expression Recognition via Disentangling Identity Representation IJCAI 2023
Disentanglement of Latent Representations via Causal Interventions IJCAI 2023
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement IJCAI 2023
HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE IJCAI 2023
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation IJCAI 2023
Graph-based Polyphonic Multitrack Music Generation IJCAI 2023
Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion INTERSPEECH 2023
A neural architecture for selective attention to speech features INTERSPEECH 2023
S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion INTERSPEECH 2023
Flow-VAE VC: End-to-End Flow Framework with Contrastive Loss for Zero-shot Voice Conversion INTERSPEECH 2023
Self-supervised Predictive Coding Models Encode Speaker and Phonetic Information in Orthogonal Subspaces INTERSPEECH 2023
Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge INTERSPEECH 2023
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer INTERSPEECH 2023
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023
Monotonic Alpha-divergence Minimisation for Variational Inference JMLR 2023
Variational Inference for Deblending Crowded Starfields JMLR 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
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics JMLR 2023
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders JMLR 2023
Physics-enhanced Gaussian Process Variational Autoencoder L4DC 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification MIDL 2023
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs MIDL 2023