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Variational Inference

1946 directly classified papers

Papers per year

Papers

Riemannian Diffusion Models NIPS 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders NIPS 2022
Posterior Collapse of a Linear Latent Variable Model NIPS 2022
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels NIPS 2022
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks NIPS 2022
VICE: Variational Interpretable Concept Embeddings NIPS 2022
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs NIPS 2022
Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation ICML 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences ICML 2022
Cross-Linked Unified Embedding for cross-modality representation learning NIPS 2022
Wasserstein Iterative Networks for Barycenter Estimation NIPS 2022
Semantic Feature Extraction for Generalized Zero-Shot Learning AAAI 2022
Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning ICML 2022
Identifiability of deep generative models without auxiliary information NIPS 2022
HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis NIPS 2022
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules ICML 2022
Mesoscopic modeling of hidden spiking neurons NIPS 2022
Variational inference via Wasserstein gradient flows NIPS 2022
Lifelong Generative Modelling Using Dynamic Expansion Graph Model AAAI 2022
Knowledge Distillation via Constrained Variational Inference AAAI 2022
Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations AAAI 2022
Path-Gradient Estimators for Continuous Normalizing Flows ICML 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NIPS 2022