Variational Inference

On Divergence Measures for Training GFlowNets NeurIPS 2024 On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024 Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder WACV 2024 PARAN: Variational Autoencoder-based End-to-End Articulation-to-Speech System for Speech Intelligibility Interspeech 2024 Particle Semi-Implicit Variational Inference NeurIPS 2024 pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization NeurIPS 2024 Period Singer: Integrating Periodic and Aperiodic Variational Autoencoders for Natural-Sounding End-to-End Singing Voice Synthesis Interspeech 2024 PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024 Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models ICLR 2024 Poisson Variational Autoencoder NeurIPS 2024 Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024 Pre-training Feature Guided Diffusion Model for Speech Enhancement Interspeech 2024 Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness NeurIPS 2024 QUADify: Extracting Meshes with Pixel-level Details and Materials from Images CVPR 2024 Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024 QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation NeurIPS 2024 RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates AAAI 2024 R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning ICLR 2024 Reparameterization invariance in approximate Bayesian inference NeurIPS 2024 Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks ICML 2024 Reparameterized Variational Rejection Sampling AISTATS 2024 Robustly overfitting latents for flexible neural image compression NeurIPS 2024 S2MAE: A Spatial-Spectral Pretraining Foundation Model for Spectral Remote Sensing Data CVPR 2024 Scale-VAE: Preventing Posterior Collapse in Variational Autoencoder COLING 2024 Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits NeurIPS 2024