Cover Image

Learning robust parameter inference and density reconstruction in flyer plate impact experiments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bell, Evan, Serino, Daniel A., Southworth, Ben S., Wilcox, Trevor, Klasky, Marc L.
Format:	Preprint
Published:	2025
Subjects:	Computational Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions
by: Serino, Daniel A., et al.
Published: (2024)

Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks
by: Serino, Daniel A., et al.
Published: (2024)

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions
by: Maltba, Tyler E., et al.
Published: (2025)

ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data
by: Prakash, Aviral, et al.
Published: (2025)

Machine Learning Techniques for Data Reduction of Climate Applications
by: Li, Xiao, et al.
Published: (2024)

Beyond Muon: MUD (MomentUm Decorrelation) for Faster Transformer Training
by: Southworth, Ben S., et al.
Published: (2026)

Gradient estimators for parameter inference in discrete stochastic kinetic models
by: Burger, Ludwig, et al.
Published: (2026)

RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging
by: Iskender, Berk, et al.
Published: (2023)

Material Identification using Multi-Modal Intrinsic Radiation and Radiography
by: Nguyen, Khoa, et al.
Published: (2026)

Training robust and generalizable quantum models
by: Berberich, Julian, et al.
Published: (2023)

Revealing Low-Dimensional Structure in 2D Richtmyer-Meshkov Instabilities via Parametric Reduced-Order Modeling
by: Messenger, Daniel, et al.
Published: (2025)

High-performance training and inference for deep equivariant interatomic potentials
by: Tan, Chuin Wei, et al.
Published: (2025)

PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
by: Hassanaly, Malik, et al.
Published: (2023)

Deep Learning reconstruction with uncertainty estimation for $γ$ photon interaction in fast scintillator detectors
by: Daniel, Geoffrey, et al.
Published: (2023)

PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model
by: Hassanaly, Malik, et al.
Published: (2023)

Doubly robust inference via calibration
by: van der Laan, Lars, et al.
Published: (2024)

Physics-guided impact localisation and force estimation in composite plates with uncertainty quantification
by: Xiao, Dong, et al.
Published: (2025)

Crossing the Sim2Real Gap Between Simulation and Ground Testing to Space Deployment of Autonomous Free-flyer Control
by: Stewart, Kenneth, et al.
Published: (2025)

Amortised and provably-robust simulation-based inference
by: Bharti, Ayush, et al.
Published: (2026)

Conformalised imprecise inference for robust extrapolation under limited data
by: Chen, Yu, et al.
Published: (2026)

Counterfactual inference in sequential experiments
by: Dwivedi, Raaz, et al.
Published: (2022)

Graph-neural-network predictions of solid-state NMR parameters from spherical tensor decomposition
by: Mahmoud, Chiheb Ben, et al.
Published: (2024)

Neural Network Representations of Multiphase Equations of State
by: Kevrekidis, George A., et al.
Published: (2024)

Machine learning interatomic potential can infer electrical response
by: Zhong, Peichen, et al.
Published: (2025)

Supervised Reconstruction for Silhouette Tomography
by: Bell, Evan, et al.
Published: (2024)

Misspecification-robust likelihood-free inference in high dimensions
by: Thomas, Owen, et al.
Published: (2020)

MixFlows: principled variational inference via mixed flows
by: Xu, Zuheng, et al.
Published: (2022)

Noise-robust Contrastive Learning for Critical Transition Detection in Dynamical Systems
by: Fang, Wenqi, et al.
Published: (2025)

Variational phylogenetic inference with products over bipartitions
by: Sidrow, Evan, et al.
Published: (2025)

Learning density ratios in causal inference using Bregman-Riesz regression
by: Hines, Oliver J., et al.
Published: (2025)

Verde: Verification via Refereed Delegation for Machine Learning Programs
by: Arun, Arasu, et al.
Published: (2025)

Optimal algorithmic complexity of inference in quantum kernel methods
by: Gil-Fuster, Elies, et al.
Published: (2026)

High-fidelity simulations of shock initiation of an energetic crystal-binder system due to flyer impact
by: Roy, Shobhan, et al.
Published: (2026)

Learning finitely correlated states: stability of the spectral reconstruction
by: Fanizza, Marco, et al.
Published: (2023)

Enhanced sampling of robust molecular datasets with uncertainty-based collective variables
by: Tan, Aik Rui, et al.
Published: (2024)

AutoQML: A Framework for Automated Quantum Machine Learning
by: Roth, Marco, et al.
Published: (2025)

BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading
by: Periyasamy, Maniraman, et al.
Published: (2023)

Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor
by: Zhang, Hai-Feng, et al.
Published: (2025)

Misspecification-robust amortised simulation-based inference using variational methods
by: O'Callaghan, Matthew, et al.
Published: (2025)

Fast and Generalizable parameter-embedded Neural Operators for Lithium-Ion Battery Simulation
by: Panahi, Amir Ali, et al.
Published: (2025)