amortized inference

Adaptive teachers for amortized samplers ICLR 2025 Amortized Probabilistic Conditioning for Optimization, Simulation and Inference AISTATS 2025 Ant Colony Sampling with GFlowNets for Combinatorial Optimization AISTATS 2025 Conditional diffusions for amortized neural posterior estimation AISTATS 2025 Inverse decision-making using neural amortized Bayesian actors ICLR 2025 Learning Spatiotemporal Dynamical Systems from Point Process Observations ICLR 2025 Position: The Future of Bayesian Prediction Is Prior-Fitted ICML 2025 Robust Simulation-Based Inference under Missing Data via Neural Processes ICLR 2025 Zero-shot Imputation with Foundation Inference Models for Dynamical Systems ICLR 2025 Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction AAAI 2024 All-in-one simulation-based inference ICML 2024 Amortized Active Causal Induction with Deep Reinforcement Learning NeurIPS 2024 AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification ICLR 2024 An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation ICML 2024 A Variational Approach to Bayesian Phylogenetic Inference JMLR 2024 CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference NeurIPS 2024 Delta-AI: Local objectives for amortized inference in sparse graphical models ICLR 2024 Direct Amortized Likelihood Ratio Estimation AAAI 2024 FUSE: Fast Unified Simulation and Estimation for PDEs NeurIPS 2024 Improved off-policy training of diffusion samplers NeurIPS 2024 Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning ICML 2024 Neural Amortized Inference for Nested Multi-Agent Reasoning AAAI 2024 Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference AISTATS 2024 Simulation-Based Stacking AISTATS 2024 Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution NeurIPS 2024