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amortized inference

102 papers

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Co-occurring keywords

variational inference (2069) variational autoencoder (1288) neural network (6616) generative model (2892) bayesian inference (1907) posterior approximation (132) latent variable model (564) importance sampling (318) latent variable (541) gaussian process (1200)

Papers

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences AAAI 2024
A Variational Approach to Bayesian Phylogenetic Inference JMLR 2024
Improved off-policy training of diffusion samplers NIPS 2024
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference NIPS 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution NIPS 2024
Amortized Active Causal Induction with Deep Reinforcement Learning NIPS 2024
Simulation-Based Stacking AISTATS 2024
FUSE: Fast Unified Simulation and Estimation for PDEs NIPS 2024
Neural Amortized Inference for Nested Multi-Agent Reasoning AAAI 2024
Direct Amortized Likelihood Ratio Estimation AAAI 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference AISTATS 2024
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction AAAI 2024
A theory of continuous generative flow networks ICML 2023
Better Training of GFlowNets with Local Credit and Incomplete Trajectories ICML 2023
A decoder suffices for query-adaptive variational inference UAI 2023
Efficient Shapley Values Estimation by Amortization for Text Classification ACL 2023
Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States NIPS 2023
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels UAI 2023
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series ICML 2023
Taming Continuous Posteriors for Latent Variational Dialogue Policies AAAI 2023
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs NIPS 2023
Jana: Jointly amortized neural approximation of complex Bayesian models UAI 2023
From Perception to Programs: Regularize, Overparameterize, and Amortize ICML 2023
Practical Equivariances via Relational Conditional Neural Processes NIPS 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation NIPS 2023