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Variational Inference

1946 directly classified papers

Papers per year

Papers

Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement AAAI 2025
Community-Aware Variational Autoencoder for Continuous Dynamic Networks AAAI 2025
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025
Time Series Supplier Allocation via Deep Black-Litterman Model AAAI 2025
Auto Encoding Neural Process for Multi-interest Recommendation AAAI 2025
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation AAAI 2025
Learned Image Transmission with Hierarchical Variational Autoencoder AAAI 2025
SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction AAAI 2025
DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration AAAI 2025
Prototype Conditioned Generative Replay for Continual Learning in NLP NAACL 2025
SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints AAAI 2025
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation AAAI 2025
QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer IJCAI 2025
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow AAAI 2025
Posterior and Variational Inference for Deep Neural Networks with Heavy-Tailed Weights JMLR 2025
Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses JMLR 2025
Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms JMLR 2025
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs JMLR 2025
BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation ACL 2025
Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder CONLL 2025
V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat EMNLP 2025
Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder ICCV 2025
Unbiased Missing-modality Multimodal Learning ICCV 2025
Hierarchical Variational Test-Time Prompt Generation for Zero-Shot Generalization ICCV 2025
VideoVAE+: Large Motion Video Autoencoding with Cross-modal Video VAE ICCV 2025