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The frontier of simulation-based inference

4 November 2019

Papers citing "The frontier of simulation-based inference"

50 / 337 papers shown

Title
Leveraging Nested MLMC for Sequential Neural Posterior Estimation with Intractable Likelihoods Xiliang Yang Yifei Xiong Zhijian He 84 0 0 30 Jan 2024
Finetuning Foundation Models for Joint Analysis Optimization M. Vigl N. Hartman L. Heinrich 88 14 0 24 Jan 2024
Simulation-Based Inference with Quantile Regression He Jia 66 2 0 04 Jan 2024
Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation Henri Pesonen J. Corander 59 0 0 30 Dec 2023
Hybrid Modeling Design Patterns Maja Rudolph Stefan Kurz Barbara Rakitsch AI4CE 85 9 0 29 Dec 2023
Isolated pulsar population synthesis with simulation-based inference V. Graber M. Ronchi C. Pardo-Araujo N. Rea 42 5 0 22 Dec 2023
Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings D. Chatterjee Philip C. Harris Maanas Goel Malina Desai Michael W. Coughlin E. Katsavounidis 68 1 0 11 Dec 2023
Consistency Models for Scalable and Fast Simulation-Based Inference Marvin Schmitt Valentin Pratz Ullrich Kothe Paul-Christian Bürkner Stefan T. Radev 107 13 0 09 Dec 2023
From concrete mixture to structural design -- a holistic optimization procedure in the presence of uncertainties A. Agrawal Erik Tamsen P. Koutsourelakis Joerg F. Unger 80 3 0 06 Dec 2023
Amortized Bayesian Decision Making for simulation-based models Mila Gorecki Jakob H. Macke Michael Deistler 51 1 0 05 Dec 2023
Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers Guy Moss V. Višnjević Olaf Eisen Falk M. Oraschewski Cornelius Schroder Jakob H. Macke R. Drews 53 3 0 03 Dec 2023
Pseudo-Likelihood Inference Theo Gruner Boris Belousov Fabio Muratore Daniel Palenicek Jan Peters 67 0 0 28 Nov 2023
Multi-fidelity Constrained Optimization for Stochastic Black Box Simulators A. Agrawal Kislaya Ravi P. Koutsourelakis H. Bungartz 88 5 0 25 Nov 2023
Deep Calibration of Market Simulations using Neural Density Estimators and Embedding Networks Namid R Stillman R. Baggott Justin Lyon Jianfei Zhang Dingqui Zhu Tao Chen Perukrishnen Vytelingum 124 1 0 20 Nov 2023
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference Marvin Schmitt Stefan T. Radev Paul-Christian Bürkner 153 5 0 17 Nov 2023
Direct Amortized Likelihood Ratio Estimation Adam D. Cobb Brian Matejek Daniel Elenius Anirban Roy Susmit Jha 54 2 0 17 Nov 2023
Gradient-free online learning of subgrid-scale dynamics with neural emulators Hugo Frezat Ronan Fablet G. Balarac Julien Le Sommer 117 5 0 30 Oct 2023
Simulation-based stacking Yuling Yao Bruno Régaldo-Saint Blancard Justin Domke 85 4 0 25 Oct 2023
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability Maciej Falkiewicz Naoya Takeishi Imahn Shekhzadeh Antoine Wehenkel Arnaud Delaunoy Gilles Louppe Alexandros Kalousis 76 8 0 20 Oct 2023
Neural Likelihood Approximation for Integer Valued Time Series Data Luke O'Loughlin John Maclean Andrew Black AI4TS 44 0 0 19 Oct 2023
Fast Parameter Inference on Pulsar Timing Arrays with Normalizing Flows David Shih M. Freytsis Stephen R. Taylor J. A. Dror Nolan Smyth 51 4 0 18 Oct 2023
Sensitivity-Aware Amortized Bayesian Inference Lasse Elsemüller Hans Olischläger Marvin Schmitt Paul-Christian Bürkner Ullrich Kothe Stefan T. Radev 118 9 0 17 Oct 2023
Towards Data-Conditional Simulation for ABC Inference in Stochastic Differential Equations P. Jovanovski Andrew Golightly Umberto Picchini 61 1 0 16 Oct 2023
Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk Control Matteo Zecchin Sangwoo Park Osvaldo Simeone 208 16 0 16 Oct 2023
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference Marvin Schmitt Desi R. Ivanova Daniel Habermann Baixu Chen Jie Jiang Stefan T. Radev FedML 88 7 0 06 Oct 2023
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs T. Lucas Makinen Justin Alsing Benjamin Dan Wandelt GNN FedML 58 3 0 05 Oct 2023
Simulation-based Inference with the Generalized Kullback-Leibler Divergence Benjamin Kurt Miller Marco Federici Christoph Weniger Patrick Forré 101 5 0 03 Oct 2023
Deterministic Langevin Unconstrained Optimization with Normalizing Flows James M. Sullivan U. Seljak 46 0 0 01 Oct 2023
A Metaheuristic for Amortized Search in High-Dimensional Parameter Spaces Dominic Boutet Sylvain Baillet 46 0 0 28 Sep 2023
Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence Thorsten Glüsenkamp Frank Jenko Nils Thuerey AI4CE 61 6 0 28 Sep 2023
High Throughput Training of Deep Surrogates from Large Ensemble Runs Lucas Meyer M. Schouler R. Caulk Alejandro Ribés Bruno Raffin AI4CE 42 6 0 28 Sep 2023
An Extendable Python Implementation of Robust Optimisation Monte Carlo Vasilis Gkolemis Michael U. Gutmann Henri Pesonen 40 1 0 19 Sep 2023
Distribution learning via neural differential equations: a nonparametric statistical perspective Youssef Marzouk Zhi Ren Sven Wang Jakob Zech 85 12 0 03 Sep 2023
Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics Michael Kagan Lukas Heinrich 75 9 0 31 Aug 2023
A transport approach to sequential simulation-based inference Paul-Baptiste Rubio Youssef Marzouk M. Parno 110 1 0 26 Aug 2023
Estimating Treatment Effects Using Costly Simulation Samples from a Population-Scale Model of Opioid Use Disorder Abdulrahman A. Ahmed M. Amin Rahimian Mark S. Roberts 11 4 0 24 Aug 2023
Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models F. Bockting Stefan T. Radev Paul-Christian Bürkner 59 11 0 22 Aug 2023
Kernel-Based Tests for Likelihood-Free Hypothesis Testing P. R. Gerber Tianze Jiang Yury Polyanskiy Rui Sun VLM 55 2 0 17 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 67 8 0 04 Aug 2023
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation Simon Dirmeier Carlo Albert Fernando Perez-Cruz 134 7 0 02 Aug 2023
InVAErt networks: a data-driven framework for model synthesis and identifiability analysis Guoxiang Grayson Tong Carlos A. Sing Long Daniele E. Schiavazzi 54 7 0 24 Jul 2023
Amortised Experimental Design and Parameter Estimation for User Models of Pointing Antti Keurulainen Isak Westerlund Oskar Keurulainen Andrew Howes 76 7 0 19 Jul 2023
Solving multiphysics-based inverse problems with learned surrogates and constraints Ziyi Yin Rafael Orozco M. Louboutin Felix J. Herrmann AI4CE 108 10 0 18 Jul 2023
A generative flow for conditional sampling via optimal transport Jason Alfonso Ricardo Baptista Anupam Bhakta Noam Gal Alfin Hou I. Lyubimova Daniel Pocklington Josef Sajonz G. Trigila Ryan Tsai OT 50 5 0 09 Jul 2023
A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty A. Agrawal P. Koutsourelakis AI4CE 46 17 0 05 Jul 2023
Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference Vincent D. Zaballa E. Hui 64 2 0 27 Jun 2023
Hierarchical Neural Simulation-Based Inference Over Event Ensembles Lukas Heinrich S. Mishra-Sharma C. Pollard Philipp Windischhofer 111 7 0 21 Jun 2023
Minimax optimal testing by classification P. R. Gerber Yanjun Han Yury Polyanskiy 77 3 0 19 Jun 2023
Mimicking Better by Matching the Approximate Action Distribution Joao A. Candido Ramos Lionel Blondé Naoya Takeishi Alexandros Kalousis 64 2 0 16 Jun 2023
Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data and machine learning surrogate Lianghao Cao Keyi Wu J. Oden P. Chen Omar Ghattas 52 3 0 08 Jun 2023