simulation-based inference

Flow Matching for Scalable Simulation-Based Inference NeurIPS 2023 Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation NeurIPS 2023 L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference NeurIPS 2023 Learning Robust Statistics for Simulation-based Inference under Model Misspecification NeurIPS 2023 Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference NeurIPS 2023 Meta-Uncertainty in Bayesian Model Comparison AISTATS 2023 Pseudo-Likelihood Inference NeurIPS 2023 Sampling-Based Accuracy Testing of Posterior Estimators for General Inference ICML 2023 Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation AISTATS 2022 Contrastive Neural Ratio Estimation NeurIPS 2022 Efficient identification of informative features in simulation-based inference NeurIPS 2022 GATSBI: Generative Adversarial Training for Simulation-Based Inference ICLR 2022 Group equivariant neural posterior estimation ICLR 2022 Robust Neural Posterior Estimation and Statistical Model Criticism NeurIPS 2022 Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation NeurIPS 2022 Truncated proposals for scalable and hassle-free simulation-based inference NeurIPS 2022 Variational methods for simulation-based inference ICLR 2022 Benchmarking Simulation-Based Inference AISTATS 2021 HNPE: Leveraging Global Parameters for Neural Posterior Estimation NeurIPS 2021 Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference AISTATS 2021 Truncated Marginal Neural Ratio Estimation NeurIPS 2021 Automatic Posterior Transformation for Likelihood-Free Inference ICML 2019 Hierarchical Implicit Models and Likelihood-Free Variational Inference NeurIPS 2017 Accelerating ABC methods using Gaussian processes AISTATS 2014