{"list":"other","total":67,"rows":[{"id":"2011.13456","title":"Score-Based Generative Modeling through Stochastic Differential Equations","created":"2020-11-26","cited_by_count":9122},{"id":"2210.02747","title":"Flow Matching for Generative Modeling","created":"2022-10-06","cited_by_count":5702},{"id":"1601.00670","title":"Variational Inference: A Review for Statisticians","created":"2016-01-04","cited_by_count":1472},{"id":"1912.02762","title":"Normalizing Flows for Probabilistic Modeling and Inference","created":"2019-12-05","cited_by_count":1323},{"id":"1906.04032","title":"Neural Spline Flows","created":"2019-06-10","cited_by_count":596},{"id":"1911.01429","title":"The frontier of simulation-based inference","created":"2019-11-04","cited_by_count":502},{"id":"1610.06545","title":"Revisiting Classifier Two-Sample Tests","created":"2016-10-20","cited_by_count":268},{"id":"1711.05597","title":"Advances in Variational Inference","created":"2017-11-15","cited_by_count":236},{"id":"1805.07226","title":"Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows","created":"2018-05-18","cited_by_count":221},{"id":"1905.07488","title":"Automatic Posterior Transformation for Likelihood-Free Inference","created":"2019-05-17","cited_by_count":219},{"id":"1711.01861","title":"Flexible statistical inference for mechanistic models of neural dynamics","created":"2017-11-06","cited_by_count":163},{"id":"2101.04653","title":"Benchmarking Simulation-Based Inference","created":"2021-01-12","cited_by_count":162},{"id":"2003.06281","title":"BayesFlow: Learning complex stochastic models with invertible neural networks","created":"2020-03-13","cited_by_count":144},{"id":"1804.06788","title":"Validating Bayesian Inference Algorithms with Simulation-Based Calibration","created":"2018-04-18","cited_by_count":124},{"id":"2305.17161","title":"Flow Matching for Scalable Simulation-Based Inference","created":"2023-05-26","cited_by_count":101},{"id":"2002.03712","title":"On Contrastive Learning for Likelihood-free Inference","created":"2020-02-10","cited_by_count":98},{"id":"1506.02169","title":"Approximating Likelihood Ratios with Calibrated Discriminative Classifiers","created":"2015-06-06","cited_by_count":90},{"id":"1611.10242","title":"Likelihood-free inference by ratio estimation","created":"2016-11-30","cited_by_count":81},{"id":"2106.12594","title":"Real-time gravitational-wave science with neural posterior estimation","created":"2021-06-23","cited_by_count":78},{"id":"2010.10079","title":"Neural Approximate Sufficient Statistics for Implicit Models","created":"2020-10-20","cited_by_count":74},{"id":"2404.09636","title":"All-in-one simulation-based inference","created":"2024-04-15","cited_by_count":74},{"id":"1805.09294","title":"Likelihood-free inference with emulator networks","created":"2018-05-23","cited_by_count":61},{"id":"2112.08866","title":"Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks","created":"2021-12-16","cited_by_count":49},{"id":"2209.14249","title":"Compositional Score Modeling for Simulation-based Inference","created":"2022-09-28","cited_by_count":48},{"id":"2305.15871","title":"Learning Robust Statistics for Simulation-based Inference under Model Misspecification","created":"2023-05-25","cited_by_count":48},{"id":"2210.06564","title":"Robust Neural Posterior Estimation and Statistical Model Criticism","created":"2022-10-12","cited_by_count":46},{"id":"2302.03026","title":"Sampling-Based Accuracy Testing of Posterior Estimators for General Inference","created":"2023-02-06","cited_by_count":46},{"id":"2209.01845","title":"Investigating the Impact of Model Misspecification in Neural Simulation-based Inference","created":"2022-09-05","cited_by_count":45},{"id":"2203.04176","title":"Variational methods for simulation-based inference","created":"2022-03-08","cited_by_count":43},{"id":"2210.04815","title":"Truncated proposals for scalable and hassle-free simulation-based inference","created":"2022-10-10","cited_by_count":41},{"id":"2302.09125","title":"JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models","created":"2023-02-17","cited_by_count":41},{"id":"1510.02175","title":"Learning Summary Statistic for Approximate Bayesian Computation via Deep Neural Network","created":"2015-10-08","cited_by_count":39},{"id":"2203.06481","title":"GATSBI: Generative Adversarial Training for Simulation-Based Inference","created":"2022-03-12","cited_by_count":36},{"id":"2306.16015","title":"BayesFlow: Amortized Bayesian Workflows With Neural Networks","created":"2023-06-28","cited_by_count":32},{"id":"1802.06153","title":"A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks","created":"2018-02-16","cited_by_count":31},{"id":"2102.06522","title":"Sequential Neural Posterior and Likelihood Approximation","created":"2021-02-12","cited_by_count":30},{"id":"2102.10473","title":"Diagnostics for Conditional Density Models and Bayesian Inference Algorithms","created":"2021-02-20","cited_by_count":28},{"id":"2210.05686","title":"Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference","created":"2022-10-11","cited_by_count":28},{"id":"2405.08719","title":"Addressing Misspecification in Simulation-based Inference through Data-driven Calibration","created":"2024-05-14","cited_by_count":27},{"id":"2411.17337","title":"sbi reloaded: a toolkit for simulation-based inference workflows","created":"2024-11-26","cited_by_count":23},{"id":"2312.05440","title":"Consistency Models for Scalable and Fast Simulation-Based Inference","created":"2023-12-09","cited_by_count":22},{"id":"2407.09602","title":"Real-time gravitational-wave inference for binary neutron stars using machine learning","created":"2024-07-12","cited_by_count":21},{"id":"2310.11122","title":"Sensitivity-Aware Amortized Bayesian Inference","created":"2023-10-17","cited_by_count":20},{"id":"2404.07593","title":"Diffusion posterior sampling for simulation-based inference in tall data settings","created":"2024-04-11","cited_by_count":19},{"id":"2306.03580","title":"L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference","created":"2023-06-06","cited_by_count":18},{"id":"2305.15208","title":"Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation","created":"2023-05-24","cited_by_count":17},{"id":"2111.13139","title":"Group equivariant neural posterior estimation","created":"2021-11-25","cited_by_count":16},{"id":"2202.00625","title":"Black-box Bayesian inference for economic agent-based models","created":"2022-02-01","cited_by_count":13},{"id":"2504.17660","title":"Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models","created":"2025-04-24","cited_by_count":13},{"id":"2110.06931","title":"A neural simulation-based inference approach for characterizing the Galactic Center $\\gamma$-ray excess","created":"2021-10-13","cited_by_count":12},{"id":"2010.06439","title":"Simulation-based inference methods for particle physics","created":"2020-10-13","cited_by_count":11},{"id":"2501.13483","title":"Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data","created":"2025-01-23","cited_by_count":11},{"id":"2406.03154","title":"Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation","created":"2024-06-05","cited_by_count":8},{"id":"2203.07391","title":"Accelerated Bayesian SED Modeling using Amortized Neural Posterior Estimation","created":"2022-03-14","cited_by_count":7},{"id":"2210.06170","title":"Contrastive Neural Ratio Estimation for Simulation-based Inference","created":"2022-10-11","cited_by_count":7},{"id":"2409.19435","title":"Simulation-based Inference with the Python Package sbijax","created":"2024-09-28","cited_by_count":6},{"id":"2210.11915","title":"Efficient identification of informative features in simulation-based inference","created":"2022-10-21","cited_by_count":5},{"id":"2210.14756","title":"Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference","created":"2022-10-26","cited_by_count":5},{"id":"2211.08801","title":"Adapting to noise distribution shifts in flow-based gravitational-wave inference","created":"2022-11-16","cited_by_count":5},{"id":"2505.22573","title":"FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators","created":"2025-05-28","cited_by_count":4},{"id":"2012.02807","title":"Learning summary features of time series for likelihood free inference","created":"2020-12-04","cited_by_count":3},{"id":"2309.16743","title":"High Throughput Training of Deep Surrogates from Large Ensemble Runs","created":"2023-09-28","cited_by_count":3},{"id":"2410.21477","title":"Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels","created":"2024-10-28","cited_by_count":3},{"id":"2502.03279","title":"Posterior SBC: Simulation-Based Calibration Checking Conditional on Data","created":"2025-02-05","cited_by_count":3},{"id":"2311.05742","title":"Optimal simulation-based Bayesian decisions","created":"2023-11-09","cited_by_count":2},{"id":"2312.02674","title":"Amortized Bayesian Decision Making for simulation-based models","created":"2023-12-05","cited_by_count":1},{"id":"2506.22607","title":"Learning Individual Reproductive Behavior from Aggregate Fertility Rates via Neural Posterior Estimation","created":"2025-06-27","cited_by_count":1}],"next_cursor":null}