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Variational Inference

1,952 papers

Papers per year

2
9
31
252
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Papers

A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024
Adversarial Purification with the Manifold Hypothesis AAAI 2024
Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster AAAI 2024
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation AAAI 2024
Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment AAAI 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024
IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment AAAI 2024
Explainable Earnings Call Representation Learning (Student Abstract) AAAI 2024
Soft Knowledge Prompt: Help External Knowledge Become a Better Teacher to Instruct LLM in Knowledge-based VQA ACL 2024
Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics ACL 2024
VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE ACL 2024
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media ACL 2024
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? AISTATS 2024
Reparameterized Variational Rejection Sampling AISTATS 2024
Joint control variate for faster black-box variational inference AISTATS 2024
Variational Gaussian Process Diffusion Processes AISTATS 2024
Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing AISTATS 2024
Learning Sparse Codes with Entropy-Based ELBOs AISTATS 2024
Mixed variational flows for discrete variables AISTATS 2024
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation AISTATS 2024
Symmetric Equilibrium Learning of VAEs AISTATS 2024
On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024
Variational Resampling AISTATS 2024
Identifiable Feature Learning for Spatial Data with Nonlinear ICA AISTATS 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024