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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
Efficient identification of informative features in simulation-based inference Jonas Beck Michael Deistler Yves Bernaerts Jakob Macke Philipp Berens 45 3 0 21 Oct 2022
Meta-Uncertainty in Bayesian Model Comparison Marvin Schmitt Stefan T. Radev Paul-Christian Bürkner UD 49 10 0 13 Oct 2022
Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference R. Khabibullin S. Seleznev 52 1 0 13 Oct 2022
Robust Neural Posterior Estimation and Statistical Model Criticism Daniel Ward Patrick W Cannon Mark Beaumont Matteo Fasiolo Sebastian M. Schmon 90 39 0 12 Oct 2022
Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference Maximilian Dax Stephen R. Green J. Gair M. Purrer J. Wildberger Jakob H. Macke A. Buonanno Bernhard Schölkopf BDL 99 58 0 11 Oct 2022
A Geometric Perspective on Bayesian and Generalized Fiducial Inference Yang Liu Jan Hannig Alexander C. Murph 65 0 0 11 Oct 2022
Contrastive Neural Ratio Estimation for Simulation-based Inference Benjamin Kurt Miller Christoph Weniger Patrick Forré 62 13 0 11 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 114 39 0 10 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 78 0 0 04 Oct 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 135 30 0 28 Sep 2022
Improved Marginal Unbiased Score Expansion (MUSE) via Implicit Differentiation M. Millea 30 4 0 21 Sep 2022
Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography W. E. Kerzendorf Nutan Chen Jack O'Brien J. Buchner Patrick van der Smagt MedIm 29 0 0 20 Sep 2022
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference Patrick W Cannon Daniel Ward Sebastian M. Schmon 78 36 0 05 Sep 2022
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation Arnaud Delaunoy Joeri Hermans François Rozet Antoine Wehenkel Gilles Louppe 80 34 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 90 2 0 26 Aug 2022
Generative Models: An Interdisciplinary Perspective Kris Sankaran Susan P. Holmes AI4CE 31 8 0 11 Aug 2022
Interpretable Uncertainty Quantification in AI for HEP Thomas Y. Chen B. Dey A. Ghosh Michael Kagan Brian D. Nord Nesar Ramachandra 60 7 0 05 Aug 2022
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 61 3 0 04 Aug 2022
Reliable amortized variational inference with physics-based latent distribution correction Ali Siahkoohi G. Rizzuti Rafael Orozco Felix J. Herrmann 77 29 0 24 Jul 2022
Language Model Cascades David Dohan Winnie Xu Aitor Lewkowycz Jacob Austin David Bieber ... Henryk Michalewski Rif A. Saurous Jascha Narain Sohl-Dickstein Kevin Patrick Murphy Charles Sutton ReLM LRM 107 102 0 21 Jul 2022
Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks Pablo Lemos M. Cranmer Muntazir M. Abidi C. Hahn Michael Eickenberg E. Massara David Yallup S. Ho 26 23 0 18 Jul 2022
j-Wave: An open-source differentiable wave simulator A. Stanziola Simon Arridge B. Cox B. Treeby VLM 74 22 0 30 Jun 2022
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport Ricardo Baptista Lianghao Cao Joshua Chen Omar Ghattas Fengyi Li Youssef M. Marzouk J. Oden 65 11 0 22 Jun 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi Satoshi Hayakawa Martin Jørgensen Harald Oberhauser Michael A. Osborne 73 20 0 09 Jun 2022
Field Level Neural Network Emulator for Cosmological N-body Simulations Drew Jamieson Yin Li Renan Alves de Oliveira F. Villaescusa-Navarro S. Ho D. Spergel 47 30 0 09 Jun 2022
Simple lessons from complex learning: what a neural network model learns about cosmic structure formation Drew Jamieson Yin Li Siyu He F. Villaescusa-Navarro S. Ho R. A. Oliveira D. Spergel 58 6 0 09 Jun 2022
Likelihood-free Model Choice for Simulator-based Models with the Jensen--Shannon Divergence J. Corander Ulpu Remes T. Koski 18 0 0 08 Jun 2022
Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems Luca Masserano T. Dorigo Rafael Izbicki Mikael Kuusela Ann B. Lee 79 13 0 31 May 2022
Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output J. Corander Ulpu Remes Ida Holopainen T. Koski 135 0 0 22 May 2022
Statistical applications of contrastive learning Michael U. Gutmann Steven Kleinegesse Benjamin Rhodes 61 7 0 29 Apr 2022
On scientific understanding with artificial intelligence Mario Krenn R. Pollice S. Guo Matteo Aldeghi Alba Cervera-Lierta ... Florian Hase A. Jinich AkshatKumar Nigam Zhenpeng Yao Alán Aspuru-Guzik 86 196 0 04 Apr 2022
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting Eric Heiden Miles Macklin Yashraj S. Narang Dieter Fox Animesh Garg Fabio Ramos 107 11 0 19 Mar 2022
Machine Learning and Cosmology C. Dvorkin S. Mishra-Sharma Brian D. Nord V. A. Villar Camille Avestruz ... A. Ćiprijanović Andrew J. Connolly L. Garrison G. Narayan F. Villaescusa-Navarro AI4CE 107 13 0 15 Mar 2022
$Variational inference of fractional Brownian motion with linear computational complexity$ Variational inference of fractional Brownian motion with linear computational complexity Hippolyte Verdier Franccois Laurent Alhassan Cassé Christian L. Vestergaard Jean-Baptiste Masson 185 8 0 15 Mar 2022
Accelerated Bayesian SED Modeling using Amortized Neural Posterior Estimation C. Hahn Peter Melchior 48 28 0 14 Mar 2022
GATSBI: Generative Adversarial Training for Simulation-Based Inference Poornima Ramesh Jan-Matthis Lueckmann Jan Boelts Álvaro Tejero-Cantero David S. Greenberg P. J. Gonçalves Jakob H. Macke GAN 79 37 0 12 Mar 2022
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation D. Torbunov Yi Huang Haiwang Yu Jin-zhi Huang Shinjae Yoo Meifeng Lin B. Viren Yihui Ren ViT 100 83 0 04 Mar 2022
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty Rel Guzman Rafael Oliveira Fabio Ramos 77 3 0 01 Mar 2022
Differentiable Matrix Elements with MadJax Lukas Heinrich Michael Kagan 58 20 0 28 Feb 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 74 45 0 09 Feb 2022
Knowledge-Integrated Informed AI for National Security Anu Myne Kevin J. Leahy Ryan Soklaski 77 0 0 04 Feb 2022
Population Calibration using Likelihood-Free Bayesian Inference Christopher C. Drovandi Brodie A. J. Lawson A. Jenner A. Browning 46 2 0 04 Feb 2022
Physical Design using Differentiable Learned Simulators Kelsey R. Allen Tatiana López-Guevara Kimberly L. Stachenfeld Alvaro Sanchez-Gonzalez Peter W. Battaglia Jessica B. Hamrick Tobias Pfaff AI4CE 95 46 0 01 Feb 2022
Efficient Multifidelity Likelihood-Free Bayesian Inference with Adaptive Computational Resource Allocation Thomas P. Prescott D. Warne R. Baker 50 7 0 22 Dec 2021
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 104 170 0 20 Dec 2021
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks Marvin Schmitt Paul-Christian Bürkner Ullrich Kothe Stefan T. Radev 91 39 0 16 Dec 2021
Domain-informed neural networks for interaction localization within astroparticle experiments Shixiao Liang A. Higuera C. Peters Venkat Roy W. Bajwa H. Shatkay C. Tunnell 71 7 0 15 Dec 2021
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation Rika Antonova Jingyun Yang Priya Sundaresan Dieter Fox Fabio Ramos Jeannette Bohg 93 19 0 09 Dec 2021
A Ubiquitous Unifying Degeneracy in Two-Body Microlensing Systems Keming 名 Zhang 张可 B. Gaudi J. Bloom 13 16 0 26 Nov 2021
Group equivariant neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Michael Deistler Bernhard Schölkopf Jakob H. Macke BDL 98 31 0 25 Nov 2021