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Variational Inference

1946 directly classified papers

Papers per year

Papers

Scaling Structured Inference with Randomization ICML 2022
Concentration of Data Encoding in Parameterized Quantum Circuits NIPS 2022
NP-Match: When Neural Processes meet Semi-Supervised Learning ICML 2022
Variational On-the-Fly Personalization ICML 2022
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design ICML 2022
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields ICML 2022
SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion NIPS 2022
MMVAE at SemEval-2022 Task 5: A Multi-modal Multi-task VAE on Misogynous Meme Detection SEMEVAL 2022
Learning Manifold Dimensions with Conditional Variational Autoencoders NIPS 2022
Posterior Matching for Arbitrary Conditioning NIPS 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection RSS 2022
Distinguishing Unseen From Seen for Generalized Zero-Shot Learning CVPR 2022
Multi-Sample Training for Neural Image Compression NIPS 2022
Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization CVPR 2022
Learning To Listen: Modeling Non-Deterministic Dyadic Facial Motion CVPR 2022
Improving Subgraph Recognition With Variational Graph Information Bottleneck CVPR 2022
Riemannian Diffusion Models NIPS 2022
HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis NIPS 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NIPS 2022
Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation CVPR 2022
MMVAE at SemEval-2022 Task 5: A Multi-modal Multi-task VAE on Misogynous Meme Detection NAACL 2022
Langevin Autoencoders for Learning Deep Latent Variable Models NIPS 2022
Variational inference via Wasserstein gradient flows NIPS 2022
Wasserstein Iterative Networks for Barycenter Estimation NIPS 2022
Revisiting Active Sets for Gaussian Process Decoders NIPS 2022