The frontier of simulation-based inference

4 November 2019

Papers citing "The frontier of simulation-based inference"

34 / 84 papers shown

Title
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 19 3 0 04 Aug 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 22 98 0 21 Jul 2022
j-Wave: An open-source differentiable wave simulator A. Stanziola Simon Arridge B. Cox B. Treeby VLM 28 21 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 19 11 0 22 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 8 27 0 09 Jun 2022
Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output J. Corander Ulpu Remes Ida Holopainen T. Koski 25 0 0 22 May 2022
Accelerated Bayesian SED Modeling using Amortized Neural Posterior Estimation C. Hahn Peter Melchior 13 28 0 14 Mar 2022
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty Rel Guzman Rafael Oliveira Fabio Ramos 10 3 0 01 Mar 2022
Differentiable Matrix Elements with MadJax Lukas Heinrich Michael Kagan 17 19 0 28 Feb 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 18 42 0 09 Feb 2022
Population Calibration using Likelihood-Free Bayesian Inference Christopher C. Drovandi Brodie A. J. Lawson A. Jenner A. Browning 17 2 0 04 Feb 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 15 138 0 20 Dec 2021
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 22 34 0 16 Dec 2021
Group equivariant neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Michael Deistler Bernhard Schölkopf Jakob H. Macke BDL 31 31 0 25 Nov 2021
Composite Goodness-of-fit Tests with Kernels Oscar Key A. Gretton F. Briol T. Fernandez 22 14 0 19 Nov 2021
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes D. Warne Thomas P. Prescott Ruth Baker Matthew J. Simpson 18 15 0 26 Oct 2021
Detecting and Quantifying Malicious Activity with Simulation-based Inference Andrew Gambardella Bogdan State Naemullah Khan Leo Tsourides Philip H. S. Torr A. G. Baydin 15 2 0 06 Oct 2021
Simulation-based Bayesian inference for multi-fingered robotic grasping Norman Marlier O. Bruls Gilles Louppe 29 6 0 29 Sep 2021
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation Eric Heiden Chris Denniston David Millard Fabio Ramos Gaurav Sukhatme 22 21 0 18 Sep 2021
Neural Networks for Parameter Estimation in Intractable Models Amanda Lenzi J. Bessac J. Rudi Michael L. Stein BDL 16 49 0 29 Jul 2021
Real-time gravitational-wave science with neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Jakob H. Macke A. Buonanno Bernhard Schölkopf 13 130 0 23 Jun 2021
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models Louis Rouillard Demian Wassermann 28 2 0 23 Jun 2021
Fitting summary statistics of neural data with a differentiable spiking network simulator G. Bellec Shuqi Wang Alireza Modirshanechi Johanni Brea W. Gerstner 26 11 0 18 Jun 2021
Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds Steven Kleinegesse Michael U. Gutmann FedML 22 25 0 10 May 2021
Learning physical properties of anomalous random walks using graph neural networks Hippolyte Verdier M. Duval François Laurent Alhassan Cassé Christian L. Vestergaard Jean-Baptiste Masson 13 25 0 22 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 22 54 0 25 Feb 2021
Sequential Neural Posterior and Likelihood Approximation Samuel Wiqvist J. Frellsen Umberto Picchini BDL 26 33 0 12 Feb 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 96 184 0 12 Jan 2021
Towards constraining warm dark matter with stellar streams through neural simulation-based inference Joeri Hermans N. Banik Christoph Weniger G. Bertone Gilles Louppe 25 29 0 30 Nov 2020
Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time Benjamin Kurt Miller A. Cole Gilles Louppe Christoph Weniger 11 19 0 27 Nov 2020
On Contrastive Learning for Likelihood-free Inference Conor Durkan Iain Murray George Papamakarios BDL 34 117 0 10 Feb 2020
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation Mattias Åkesson Prashant Singh Fredrik Wrede A. Hellander BDL 6 32 0 31 Jan 2020
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 40 57 0 05 Jun 2019
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016