v1v2 (latest)

A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks

16 February 2018

Papers citing "A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks"

29 / 29 papers shown

Title
Simulation-Based Inference: A Practical Guide Michael Deistler Jan Boelts Peter Steinbach Guy Moss Thomas Moreau ... Benjamin Kurt Miller P. J. Gonçalves Jan-Matthis Lueckmann Cornelius Schroder Jakob H Macke 184 4 0 18 Aug 2025
JIR-Arena: The First Benchmark Dataset for Just-in-time Information Recommendation Ke Yang Kevin Ros Shankar Kumar Senthil Kumar ChengXiang Zhai 167 0 0 19 May 2025
Robust Simulation-Based Inference under Missing Data via Neural ProcessesInternational Conference on Learning Representations (ICLR), 2025 Yogesh Verma Ayush Bharti Vikas Garg 221 4 0 03 Mar 2025
Compositional simulation-based inference for time seriesInternational Conference on Learning Representations (ICLR), 2024 Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 370 8 0 05 Nov 2024
Constructing Ancestral Recombination Graphs through Reinforcement Learning Mélanie Raymond Marie-Hélène Descary Cédric Beaulac Fabrice Larribe 109 1 0 17 Jun 2024
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration Antoine Wehenkel Juan L. Gamella Ozan Sener Jens Behrmann Guillermo Sapiro Marco Cuturi J. Jacobsen UQLM 505 22 0 14 May 2024
All-in-one simulation-based inference Manuel Gloeckler Michael Deistler Christian D. Weilbach Frank Wood Jakob H. Macke 366 58 0 15 Apr 2024
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference Marvin Schmitt Stefan T. Radev Paul-Christian Bürkner 353 6 0 17 Nov 2023
Spatial Bayesian Neural Networks A. Zammit‐Mangion Michael D. Kaminski Ba-Hien Tran Maurizio Filippone Noel Cressie BDL 211 12 0 16 Nov 2023
Sensitivity-Aware Amortized Bayesian Inference Lasse Elsemüller Hans Olischläger Marvin Schmitt Paul-Christian Bürkner Ullrich Kothe Stefan T. Radev 558 17 0 17 Oct 2023
Towards Data-Conditional Simulation for ABC Inference in Stochastic Differential EquationsBayesian Analysis (Bayes. Anal.), 2023 P. Jovanovski Andrew Golightly Umberto Picchini 201 3 0 16 Oct 2023
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 1.0K 23 0 04 Oct 2023
Neural Bayes estimators for censored inference with peaks-over-threshold models J. Richards Matthew Sainsbury-Dale A. Zammit‐Mangion Raphael Huser 678 10 0 27 Jun 2023
Learning Robust Statistics for Simulation-based Inference under Model MisspecificationNeural Information Processing Systems (NeurIPS), 2023 Daolang Huang Ayush Bharti Amauri Souza Luigi Acerbi Samuel Kaski 398 50 0 25 May 2023
Simultaneous identification of models and parameters of scientific simulatorsInternational Conference on Machine Learning (ICML), 2023 Cornelius Schroder Jakob H. Macke 261 8 0 24 May 2023
Adversarial robustness of amortized Bayesian inferenceInternational Conference on Machine Learning (ICML), 2023 Manuel Glöckler Michael Deistler Jakob H. Macke AAML 239 18 0 24 May 2023
Robust Neural Posterior Estimation and Statistical Model CriticismNeural Information Processing Systems (NeurIPS), 2022 Daniel Ward Patrick W Cannon Mark Beaumont Matteo Fasiolo Sebastian M. Schmon 214 50 0 12 Oct 2022
Contrastive Neural Ratio Estimation for Simulation-based Inference Benjamin Kurt Miller Christoph Weniger Patrick Forré 321 15 0 11 Oct 2022
Compositional Score Modeling for Simulation-based InferenceInternational Conference on Machine Learning (ICML), 2022 Tomas Geffner George Papamakarios A. Mnih 359 40 0 28 Sep 2022
Likelihood-Free Parameter Estimation with Neural Bayes EstimatorsAmerican Statistician (Am. Stat.), 2022 Matthew Sainsbury-Dale A. Zammit‐Mangion Raphael Huser 554 50 0 27 Aug 2022
Probabilistic Conformal Prediction Using Conditional Random SamplesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Zhendong Wang Ruijiang Gao Mingzhang Yin Mingyuan Zhou David M. Blei TPM 287 35 0 14 Jun 2022
Transformers Can Do Bayesian InferenceInternational Conference on Learning Representations (ICLR), 2021 Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Katharina Eggensperger BDL UQCV 844 232 0 20 Dec 2021
Unifying Likelihood-free Inference with Black-box Optimization and Beyond Dinghuai Zhang Jie Fu Yoshua Bengio Aaron Courville 278 15 0 06 Oct 2021
Benchmarking Simulation-Based InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 385 228 0 12 Jan 2021
Representing and Denoising Wearable ECG Recordings J. Chan Andrew C. Miller E. Fox 81 3 0 30 Nov 2020
Neural Approximate Sufficient Statistics for Implicit ModelsInternational Conference on Learning Representations (ICLR), 2020 Yanzhi Chen Dinghuai Zhang Michael U. Gutmann Aaron Courville Zhanxing Zhu 542 95 0 20 Oct 2020
Neural Density Estimation and Likelihood-free Inference George Papamakarios BDL DRL 191 51 0 29 Oct 2019
Automatic Posterior Transformation for Likelihood-Free InferenceInternational Conference on Machine Learning (ICML), 2019 David S. Greenberg M. Nonnenmacher Jakob H. Macke 530 381 0 17 May 2019
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation Samuel Wiqvist Pierre-Alexandre Mattei Umberto Picchini J. Frellsen BDL 266 35 0 29 Jan 2019