v1v2v3 (latest)

The frontier of simulation-based inference

4 November 2019

Papers citing "The frontier of simulation-based inference"

50 / 337 papers shown

Title
Bias and Identifiability in the Bounded Confidence Model Claudio Borile Jacopo Lenti Valentina Ghidini Corrado Monti G. D. F. Morales 64 0 0 13 Jun 2025
Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history Pedro Pessoa Juan Andres Martinez Vincent Vandenbroucke Frank Delvigne Steve Pressé 52 0 0 11 Jun 2025
G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration Samuel Holt Max Ruiz Luyten Antonin Berthon M. Schaar 30 1 0 10 Jun 2025
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition Daolang Huang Xinyi Wen Ayush Bharti Samuel Kaski Luigi Acerbi 16 0 0 08 Jun 2025
Direct Fisher Score Estimation for Likelihood Maximization Sherman Khoo Yakun Wang Song Liu Mark Beaumont 15 0 0 06 Jun 2025
Data-Driven High-Dimensional Statistical Inference with Generative Models Oz Amram Manuel Szewc 17 0 0 06 Jun 2025
Multilevel neural simulation-based inference Yuga Hikida Ayush Bharti Niall Jeffrey F. Briol 48 0 0 06 Jun 2025
On the Need to Align Intent and Implementation in Uncertainty Quantification for Machine Learning Shubhendu Trivedi Brian D. Nord 47 0 0 03 Jun 2025
Generator Based Inference (GBI) Chi Lung Cheng Ranit Das Runze Li R. Mastandrea Vinicius Mikuni Benjamin Nachman David Shih Gup Singh 15 0 0 30 May 2025
Position: The Future of Bayesian Prediction Is Prior-Fitted Samuel G. Müller Arik Reuter Noah Hollmann David Rügamer Frank Hutter 20 0 0 29 May 2025
A Methodology to Evaluate Strategies Predicting Rankings on Unseen Domains Sébastien Piérard Adrien Deliège Anaïs Halin Marc Van Droogenbroeck 29 0 0 21 May 2025
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data Antony Sikorski Michael Ivanitskiy Nathan Lenssen Douglas Nychka Daniel McKenzie DiffM 441 0 0 14 May 2025
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models Stefania Scheurer Philipp Reiser Tim Brünnette Wolfgang Nowak A. Guthke Paul-Christian Bürkner 55 0 0 13 May 2025
ConDiSim: Conditional Diffusion Models for Simulation Based Inference Mayank Nautiyal Andreas Hellander Prashant Singh DiffM 112 0 0 13 May 2025
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Muyao Zhong Yushi Lin Peng Yang AI4TS 90 0 0 04 May 2025
Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology Henrik Häggström Sebastian Persson Marija Cvijovic Umberto Picchini 55 0 0 15 Apr 2025
Cryo-em images are intrinsically low dimensional Luke Evans Octavian-Vlad Murad Lars Dingeldein Pilar Cossio Roberto Covino Marina Meila AI4CE 57 0 0 15 Apr 2025
Power-scaled Bayesian Inference with Score-based Generative Models Huseyin Tuna Erdinc Yunlin Zeng A. Gahlot Felix J. Herrmann 76 0 0 15 Apr 2025
DML-RAM: Deep Multimodal Learning Framework for Robotic Arm Manipulation using Pre-trained Models Sathish Kumar Swaroop Damodaran Naveen Kumar Kuruba S. Jha Arvind Ramanathan 41 1 0 04 Apr 2025
Discriminative versus Generative Approaches to Simulation-based Inference Benjamin Sluijter S. Diefenbacher W. Bhimji Benjamin Nachman 86 0 0 11 Mar 2025
Robust Simulation-Based Inference under Missing Data via Neural Processes Yogesh Verma Ayush Bharti Vikas Garg 106 1 0 03 Mar 2025
PABBO: Preferential Amortized Black-Box Optimization Xinyu Zhang Daolang Huang Samuel Kaski Julien Martinelli 84 1 0 02 Mar 2025
Multifidelity Simulation-based Inference for Computationally Expensive Simulators Anastasia N. Krouglova Hayden R. Johnson Basile Confavreux Michael Deistler P. J. Gonçalves 216 4 0 17 Feb 2025
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium A. Adibi Xu Cao Zongliang Ji Jivat Neet Kaur Winston Chen ... Mohsen Sadatsafavi Dennis L. Shung Shannon McWeeney Jessica Dafflon Sarah Jabbour OOD VLM AI4TS 126 0 0 10 Feb 2025
Amortized In-Context Bayesian Posterior Estimation Sarthak Mittal Niels Leif Bracher Guillaume Lajoie P. Jaini Marcus A. Brubaker 109 2 0 10 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 249 5 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 279 2 0 17 Jan 2025
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Gert Aarts Kenji Fukushima Tetsuo Hatsuda Andreas Ipp S. Shi Lei Wang K. Zhou AI4CE PINN 129 3 0 09 Jan 2025
Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification Shrihan Agarwal A. Ćiprijanović Brian D. Nord OOD 81 1 0 08 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 429 1 0 31 Dec 2024
Simulation-based Inference for Cardiovascular Models Antoine Wehenkel Laura Manduchi Jens Behrmann Guillermo Sapiro Andrew C. Miller Marco Cuturi Ozan Sener Marco Cuturi J. Jacobsen 205 9 0 31 Dec 2024
Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods Julia Walchessen Amanda Lenzi Mikael Kuusela 278 9 0 31 Dec 2024
Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers Laura Manduchi Antoine Wehenkel Jens Behrmann Luca Pegolotti Andy C. Miller Ozan Sener Marco Cuturi Guillermo Sapiro J. Jacobsen OOD 70 1 0 23 Dec 2024
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference Sam Griesemer Defu Cao Zijun Cui Carolina Osorio Yang Liu 120 3 0 07 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 191 23 1 30 Nov 2024
Distribution-Free Calibration of Statistical Confidence Sets Luben M. C. Cabezas Guilherme P. Soares Thiago Rodrigo Ramos R. Stern Rafael Izbicki 142 1 0 28 Nov 2024
Variational Autoencoders for Efficient Simulation-Based Inference Mayank Nautiyal Andrey Shternshis Andreas Hellander Prashant Singh 149 0 0 21 Nov 2024
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps Ricardo Baptista Aram-Alexandre Pooladian Michael C. Brennan Youssef Marzouk Jonathan Niles-Weed OT 66 3 0 11 Nov 2024
CriticAL: Critic Automation with Language Models Michael Y. Li Vivek Vajipey Noah D. Goodman Emily B. Fox 64 0 0 10 Nov 2024
Streaming Bayes GFlowNets Tiago da Silva Daniel Augusto R. M. A. de Souza Diego Mesquita BDL 148 2 0 08 Nov 2024
Compositional simulation-based inference for time series Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 105 4 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 118 0 0 30 Oct 2024
Flow Matching for Posterior Inference with Simulator Feedback Benjamin Holzschuh Nils Thuerey 54 0 0 29 Oct 2024
Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels Timothy D. Gebhard J. Wildberger Maximilian Dax Annalena Kofler Daniel Angerhausen S. Quanz Bernhard Schölkopf 126 2 0 28 Oct 2024
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows Stefan Wahl Armand Rousselot Felix Dräxler Ullrich Kothe Ullrich Köthe 178 1 0 25 Oct 2024
Dimension reduction via score ratio matching Ricardo Baptista Michael C. Brennan Youssef Marzouk 47 1 0 25 Oct 2024
Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis Paxson Swierc Marcos Tamargo-Arizmendi A. Ćiprijanović Brian D. Nord 67 3 0 21 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 104 8 0 20 Oct 2024
Predictive variational inference: Learn the predictively optimal posterior distribution Jinlin Lai Yuling Yao BDL 92 0 0 18 Oct 2024
Neuro-Symbolic Traders: Assessing the Wisdom of AI Crowds in Markets Namid R Stillman R. Baggott AIFin 35 0 0 18 Oct 2024