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Variational Inference

1946 directly classified papers

Papers per year

Papers

FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NIPS 2024
Joint control variate for faster black-box variational inference AISTATS 2024
Reparameterized Variational Rejection Sampling AISTATS 2024
Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation NIPS 2024
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models NIPS 2024
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? AISTATS 2024
Learning Diffusion Priors from Observations by Expectation Maximization NIPS 2024
Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation AAAI 2024
VAE-based Phoneme Alignment Using Gradient Annealing and SSL Acoustic Features INTERSPEECH 2024
Unity by Diversity: Improved Representation Learning for Multimodal VAEs NIPS 2024
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations INTERSPEECH 2024
S2MAE: A Spatial-Spectral Pretraining Foundation Model for Spectral Remote Sensing Data CVPR 2024
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NIPS 2024
Poisson Variational Autoencoder NIPS 2024
WorDepth: Variational Language Prior for Monocular Depth Estimation CVPR 2024
Deep Hierarchical Video Compression AAAI 2024
QUADify: Extracting Meshes with Pixel-level Details and Materials from Images CVPR 2024
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NIPS 2024
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder NAACL 2024
MEMORY-VQ: Compression for Tractable Internet-Scale Memory NAACL 2024
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders NAACL 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits NIPS 2024
Frogs into princes: A generative model to understand the success of product descriptions COLING 2024
CV-VAE: A Compatible Video VAE for Latent Generative Video Models NIPS 2024