v1v2v3 (latest)

All-in-one simulation-based inference

15 April 2024

Manuel Gloeckler

Michael Deistler

Christian D. Weilbach

Frank Wood

Jakob H. Macke

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Papers citing "All-in-one simulation-based inference"

29 / 29 papers shown

Title
Hyper-Transforming Latent Diffusion Models I. Peis Batuhan Koyuncu Isabel Valera J. Frellsen 177 1 0 23 Apr 2025
Multifidelity Simulation-based Inference for Computationally Expensive Simulators Anastasia N. Krouglova Hayden R. Johnson Basile Confavreux Michael Deistler P. J. Gonçalves 214 3 0 17 Feb 2025
Amortized Bayesian Multilevel Models Daniel Habermann Marvin Schmitt Lars Kühmichel Andreas Bulling Stefan T. Radev Paul-Christian Bürkner 206 4 0 23 Aug 2024
Simulation-based Bayesian inference for robotic grasping Norman Marlier O. Bruls Gilles Louppe 48 4 0 10 Mar 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 93 2,301 0 19 Dec 2022
Truncated proposals for scalable and hassle-free simulation-based inference Michael Deistler P. J. Gonçalves Jakob H Macke 127 50 0 10 Oct 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 111 844 0 29 Sep 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 109 29 0 28 Sep 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 193 3,898 0 26 Jul 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling Tung Nguyen Aditya Grover BDL UQCV 81 106 0 09 Jul 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints Hyungjin Chung Byeongsu Sim Dohoon Ryu J. C. Ye DiffM MedIm 118 464 0 02 Jun 2022
Flexible Diffusion Modeling of Long Videos William Harvey Saeid Naderiparizi Vaden Masrani Christian D. Weilbach Frank Wood DiffM BDL VGen 222 295 0 23 May 2022
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 85 338 0 03 Aug 2021
Approximate Bayesian Computation with Path Signatures Joel Dyer Patrick W Cannon Sebastian M. Schmon 86 15 0 23 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 230 7,857 0 11 May 2021
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data Jonathan Schmidt Nicholas Kramer Philipp Hennig 47 24 0 18 Mar 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 259 195 0 12 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 341 6,480 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 283 7,384 0 06 Oct 2020
BayesFlow: Learning complex stochastic models with invertible neural networks Stefan T. Radev U. Mertens A. Voss Lynton Ardizzone Ullrich Kothe BDL 288 197 0 13 Mar 2020
On Contrastive Learning for Likelihood-free Inference Conor Durkan Iain Murray George Papamakarios BDL 209 123 0 10 Feb 2020
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 185 851 0 04 Nov 2019
Flow Models for Arbitrary Conditional Likelihoods Yongqian Li Shoaib Akbar Junier B. Oliva OOD AI4CE 48 40 0 13 Sep 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,916 0 12 Jul 2019
Automatic Posterior Transformation for Likelihood-Free Inference David S. Greenberg M. Nonnenmacher Jakob H. Macke 384 330 0 17 May 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows George Papamakarios D. Sterratt Iain Murray BDL 533 367 0 18 May 2018
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks Jeffrey Chan Valerio Perrone J. Spence Paul A. Jenkins Sara Mathieson Yun S. Song 317 107 0 16 Feb 2018
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 172 868 0 12 Feb 2015
Adaptive approximate Bayesian computation Mark Beaumont J. Cornuet Jean-Michel Marin Christian P. Robert 185 644 0 15 May 2008