The frontier of simulation-based inference

4 November 2019

Papers citing "The frontier of simulation-based inference"

50 / 84 papers shown

Title
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Muyao Zhong Yushi Lin Peng Yang AI4TS 51 0 0 04 May 2025
Power-scaled Bayesian Inference with Score-based Generative Models Huseyin Tuna Erdinc Yunlin Zeng A. Gahlot Felix J. Herrmann 23 0 0 15 Apr 2025
Discriminative versus Generative Approaches to Simulation-based Inference Benjamin Sluijter S. Diefenbacher W. Bhimji Benjamin Nachman 46 0 0 11 Mar 2025
Robust Simulation-Based Inference under Missing Data via Neural Processes Yogesh Verma Ayush Bharti Vikas K. Garg 63 0 0 03 Mar 2025
Multifidelity Simulation-based Inference for Computationally Expensive Simulators Anastasia N. Krouglova Hayden R. Johnson Basile Confavreux Michael Deistler P. J. Gonçalves 71 1 0 17 Feb 2025
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects Natalí S. M. de Santi F. Villaescusa-Navarro L. Abramo Helen Shao Lucia A. Perez ... F. Marinacci D. Spergel K. Dolag L. Hernquist M. Vogelsberger 59 4 0 28 Jan 2025
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation Yifei Xiong Xiliang Yang Sanguo Zhang Zhijian He 108 2 0 17 Jan 2025
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Gert Aarts Kenji Fukushima Tetsuo Hatsuda Andreas Ipp S. Shi L. Wang K. Zhou AI4CE PINN 41 2 0 09 Jan 2025
When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer Emily C. Hector Amanda Lenzi 36 1 0 31 Dec 2024
Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods Julia Walchessen Amanda Lenzi Mikael Kuusela 30 9 0 31 Dec 2024
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Ruben Ohana Michael McCabe Lucas Meyer Rudy Morel Fruzsina J. Agocs ... François Rozet Liam Parker M. Cranmer S. Ho Shirley Ho PINN AI4CE 66 7 1 30 Nov 2024
Compositional simulation-based inference for time series Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 37 1 0 05 Nov 2024
Full-waveform earthquake source inversion using simulation-based inference A. A. Saoulis Davide Piras A. Spurio Mancini B. Joachimi A. M. G. Ferreira 35 0 0 30 Oct 2024
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows Stefan Wahl Armand Rousselot Felix Dräxler Ullrich Kothe Ullrich Köthe 24 0 0 25 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 41 4 0 20 Oct 2024
Predictive variational inference: Learn the predictively optimal posterior distribution Jinlin Lai Yuling Yao BDL 26 0 0 18 Oct 2024
Deep Optimal Sensor Placement for Black Box Stochastic Simulations Paula Cordero-Encinar Tobias Schröder P. Yatsyshin Andrew Duncan 45 0 0 15 Oct 2024
Simulation-based inference with the Python Package sbijax Simon Dirmeier S. Ulzega Antonietta Mira Carlo Albert 21 1 0 28 Sep 2024
Amortized Bayesian Multilevel Models Daniel Habermann Marvin Schmitt Lars Kühmichel Andreas Bulling Stefan T. Radev Paul-Christian Burkner 50 3 0 23 Aug 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 43 0 0 10 May 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 34 3 0 29 Apr 2024
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion Alexander Shmakov Kevin Greif M. Fenton A. Ghosh Pierre Baldi D. Whiteson DiffM 108 9 0 22 Apr 2024
Copula Approximate Bayesian Computation Using Distribution Random Forests G. Karabatsos 32 1 0 28 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Pablo Lemos Sammy N. Sharief Nikolay Malkin Laurence Perreault Levasseur Y. Hezaveh Laurence Perreault-Levasseur Yashar Hezaveh 19 3 0 06 Feb 2024
Leveraging Nested MLMC for Sequential Neural Posterior Estimation with Intractable Likelihoods Xiliang Yang Yifei Xiong Zhijian He 21 0 0 30 Jan 2024
Hybrid Modeling Design Patterns Maja Rudolph Stefan Kurz Barbara Rakitsch AI4CE 21 7 0 29 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 23 1 0 11 Dec 2023
Amortized Bayesian Decision Making for simulation-based models Mila Gorecki Jakob H. Macke Michael Deistler 18 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 6 1 0 03 Dec 2023
A Metaheuristic for Amortized Search in High-Dimensional Parameter Spaces Dominic Boutet Sylvain Baillet 14 0 0 28 Sep 2023
Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence Thorsten Glüsenkamp Frank Jenko Nils Thuerey AI4CE 32 4 0 28 Sep 2023
Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics Michael Kagan Lukas Heinrich 24 9 0 31 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 19 6 0 04 Aug 2023
Amortised Experimental Design and Parameter Estimation for User Models of Pointing Antti Keurulainen Isak Westerlund Oskar Keurulainen Andrew Howes 17 7 0 19 Jul 2023
A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty A. Agrawal P. Koutsourelakis AI4CE 11 15 0 05 Jul 2023
Multiscale Flow for Robust and Optimal Cosmological Analysis B. Dai U. Seljak 19 17 0 07 Jun 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta A. Jagadish M. Botvinick Jane X. Wang Eric Schulz 26 23 0 12 Apr 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference Pablo Lemos A. Coogan Y. Hezaveh Laurence Perreault Levasseur 27 30 0 06 Feb 2023
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference Ryan P. Kelly David J. Nott David T. Frazier D. Warne Christopher C. Drovandi 20 10 0 31 Jan 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 36 12 0 27 Jan 2023
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 24 63 0 30 Nov 2022
Validation Diagnostics for SBI algorithms based on Normalizing Flows J. Linhart Alexandre Gramfort P. L. C. R. M. -. Inria 33 7 0 17 Nov 2022
$Rare event ABC-SMC$^{2}$$ Rare event ABC-SMC $^{2}$ Ivis Kerama Thomas Thorne R. Everitt 13 0 0 03 Nov 2022
Efficient Data Mosaicing with Simulation-based Inference Andrew Gambardella Youngjun Choi Doyo Choi Jinjoon Lee 16 0 0 26 Oct 2022
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows Maksim Zhdanov L. Randolph T. Kluge M. Nakatsutsumi C. Gutt M. Ganeva Nico Hoffmann 34 0 0 04 Oct 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 60 24 0 28 Sep 2022
Improved Marginal Unbiased Score Expansion (MUSE) via Implicit Differentiation M. Millea 16 4 0 21 Sep 2022
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation Arnaud Delaunoy Joeri Hermans François Rozet Antoine Wehenkel Gilles Louppe 24 30 0 29 Aug 2022
Uncovering dark matter density profiles in dwarf galaxies with graph neural networks Tri Nguyen S. Mishra-Sharma R. Williams L. Necib 18 2 0 26 Aug 2022
Interpretable Uncertainty Quantification in AI for HEP Thomas Y. Chen B. Dey A. Ghosh Michael Kagan Brian D. Nord Nesar Ramachandra 22 7 0 05 Aug 2022