MAXENT2024: 43RD INTERNATIONAL WORKSHOP ON BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING

This page contains an index consisting of author-provided keywords.

1
13C Metabolic Flux Analysis	Constrained Trans-Dimensional Diffusive Nested Sampling for Metabolic Network Inference
A
AI	Understanding Exoplanet Habitability: an AI Framework for Predicting Atmospheric Absorption Spectra
Algorithms	Computational Inference
Analytical Bayesian Frameworks	Analytical Bayesian Framework for Differential Gene Expression Analysis Using RNA-Seq Data
anomalies	Rational Responses to Extraordinary Hypotheses
Arithmetic	The Arithmetic of Maths and Physics
Artificial Intelligence	Bayesian Inference and Physics-Informed Deep Neural Networks Methods for Inverse Problems Interpretable Deep Neural Networks and Bayesian Inference as Real Tools for Orthodontics
Astronomy	Understanding populations of light curves and spectra: Bayesian functional data analysis in astronomy
Astrophysics
Astrostatistics	Understanding populations of light curves and spectra: Bayesian functional data analysis in astronomy
automotive	Sensor Fusion Approaches in Automotive Perception
Axiomatics
B
Bayes Factors	Analytical Bayesian Framework for Differential Gene Expression Analysis Using RNA-Seq Data
Bayes theorem	Bayesian Basics
Bayesian Analysis	Probabilistic Analysis of RNA Delivery: Insights from Lipid Nanoparticle-Mediated Transport and Release in Cellular Systems
Bayesian evidence	Learned Harmonic Mean with Normalizing Flows for Bayesian Model Comparison in Cosmology
Bayesian experimental design	Bayesian Integrated Data Analysis and Experimental Design for External Magnetic Plasma Diagnostics: Plasma Current, Centroid Position, and Shape in DEMO
Bayesian inference	Bayesian Inference and Physics-Informed Deep Neural Networks Methods for Inverse Problems On Singular Bayesian Inference of Underdetermined Quantities Automatic Modelling and Object Identification in Radio Astronomy Bayesian Regularization for Dynamical System Identification Inverse Bayesian Methods for Groundwater Vulnerability Assessment Interpretable Deep Neural Networks and Bayesian Inference as Real Tools for Orthodontics Advanced Sampling Methods for Bayesian Inference of Constitutive Behavior Bayesian Soft X-Ray Tomography and Integrated Estimation of Tungsten Impurity Concentration Profiles at the WEST Tokamak Bayesian Deep Learning for Infrared Image Segmentation Understanding populations of light curves and spectra: Bayesian functional data analysis in astronomy
Bayesian Model Averaging	Constrained Trans-Dimensional Diffusive Nested Sampling for Metabolic Network Inference
Bayesian nonparametrics	Nonparametric FBST for Validating Linear Models
Bayesian optimisation
Bayesian Statistics	Nonparametric Full Bayesian Significance Testing for Bayesian Histograms
Boolean algebra	From Cox's Foundation of Probability Theory to Physics
breakthroughs	Rational Responses to Extraordinary Hypotheses
C
Canonical Commutation Rules	Exploring Quantized Entropy Production Strength in Mesoscopic Irreversible Thermodynamics
Cauchy distribution	Bayesian Basics
Cephalometry	Interpretable Deep Neural Networks and Bayesian Inference as Real Tools for Orthodontics
Clusters	Nested Sampling for Exploring Lennard - Jones Clusters
COMPLEX SYSTEMS	Towards the Prediction and Control of Driven Dense Active Matter: Cross-Diffusion and Maxent Open New Avenues
COMPUTATIONAL FLUID DYNAMICS (CFD)	The Maximum Entropy Method in Turbulence Research
constitutive modeling	Advanced Sampling Methods for Bayesian Inference of Constitutive Behavior
Convex Polytopes	Constrained Trans-Dimensional Diffusive Nested Sampling for Metabolic Network Inference
cooperative fusion	Sensor Fusion Approaches in Automotive Perception
cosmology
CROSS-DIFFUSION	Towards the Prediction and Control of Driven Dense Active Matter: Cross-Diffusion and Maxent Open New Avenues
Current tomography inference	Bayesian Integrated Data Analysis and Experimental Design for External Magnetic Plasma Diagnostics: Plasma Current, Centroid Position, and Shape in DEMO
D
Decision theory
Deep Learning	Deep Learning Prediction of Waiting Times in Non-Equilibrium Melting
Deeplab	Bayesian Deep Learning for Infrared Image Segmentation
Demonstration power plant DEMO	Bayesian Integrated Data Analysis and Experimental Design for External Magnetic Plasma Diagnostics: Plasma Current, Centroid Position, and Shape in DEMO
density operators	Agreeing to Disagree Within Objective Quantum Bayesianism: Compatibility of Different Observers’ Quantum States
derivative information	REVISITING OUTLIER-ROBUST SURROGATE MODELING
DFT
Differential Gene Expression	Analytical Bayesian Framework for Differential Gene Expression Analysis Using RNA-Seq Data
DIVERGENCE	Impact of Data Degradation on Information Theory Indices: the Case of the Lim Approach to Food Web Analysis
Diversity measures
dynamical systems	Bayesian Regularization for Dynamical System Identification
E
e-posterior	E Is the New P
e-value	The E-Value and the Full Bayesian Significance Test: Logical Properties and Philosophical Consequences E Is the New P
E-values	E-Values Analysis in Computational Science
ENTROPY	Impact of Data Degradation on Information Theory Indices: the Case of the Lim Approach to Food Web Analysis
Entropy functionals
Exoplanet	Understanding Exoplanet Habitability: an AI Framework for Predicting Atmospheric Absorption Spectra
Exoplanet characterization
exploration	Rational Responses to Extraordinary Hypotheses
Exponential utility	The Value of Information in Economic Contexts
extraordinary claims	Rational Responses to Extraordinary Hypotheses
extraordinary hypothesis	Rational Responses to Extraordinary Hypotheses
F
FBST	Nonparametric FBST for Validating Linear Models
Finite systems	Thermodynamics of Finite Systems via Molecular Dynamics in Generalized Ensembles
Forensic statistics
Foundations	The Arithmetic of Maths and Physics
Frontiers	The Scaling Frontier of Nested Sampling
Full Bayesian significance test	The E-Value and the Full Bayesian Significance Test: Logical Properties and Philosophical Consequences
Functional data analysis	Understanding populations of light curves and spectra: Bayesian functional data analysis in astronomy
G
Gaussian process	Nonparametric FBST for Validating Linear Models Bayesian Soft X-Ray Tomography and Integrated Estimation of Tungsten Impurity Concentration Profiles at the WEST Tokamak
Gaussian process regression	REVISITING OUTLIER-ROBUST SURROGATE MODELING Bayesian Integrated Data Analysis and Experimental Design for External Magnetic Plasma Diagnostics: Plasma Current, Centroid Position, and Shape in DEMO
global optimum	Rational Responses to Extraordinary Hypotheses
Goodness-of-fit tests	Nonparametric Full Bayesian Significance Testing for Bayesian Histograms
Groundwater vulnerability assessment	Inverse Bayesian Methods for Groundwater Vulnerability Assessment
H
Habitability	Understanding Exoplanet Habitability: an AI Framework for Predicting Atmospheric Absorption Spectra
Harmonic mean estimator	Learned Harmonic Mean with Normalizing Flows for Bayesian Model Comparison in Cosmology
hypothesis testing	Nonparametric Full Bayesian Significance Testing for Bayesian Histograms E Is the New P
I
implicit likelihood inference
Imprecise probabilities	Conservative Probabilistic Inference in Quantum Mechanics
Improper probability distributions	On Singular Bayesian Inference of Underdetermined Quantities
Inference	Computational Inference
Information algorithms	The Value of Information in Economic Contexts
Information bounds	The Value of Information in Economic Contexts
Information Theory	Higher-Order Interactions Effects from the Maximum Entropy Principle of Curved Statistical Manifolds
Infrared images	Bayesian Deep Learning for Infrared Image Segmentation
Infrared thermal radiation model	An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference
Infrared thermography	An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference
Integrated data analysis	Bayesian Integrated Data Analysis and Experimental Design for External Magnetic Plasma Diagnostics: Plasma Current, Centroid Position, and Shape in DEMO Bayesian Soft X-Ray Tomography and Integrated Estimation of Tungsten Impurity Concentration Profiles at the WEST Tokamak
Interpretable Deep Learning Neural Network	Interpretable Deep Neural Networks and Bayesian Inference as Real Tools for Orthodontics
Invariance	On Singular Bayesian Inference of Underdetermined Quantities
Inverse problems	Bayesian Inference and Physics-Informed Deep Neural Networks Methods for Inverse Problems On Singular Bayesian Inference of Underdetermined Quantities
J
Joint maximum a posteriori	An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference
L
Lennard-Jones	Nested Sampling for Exploring Lennard - Jones Clusters
LINEAR INVERSE MODELING	Impact of Data Degradation on Information Theory Indices: the Case of the Lim Approach to Food Web Analysis
linear models	Nonparametric FBST for Validating Linear Models
local optima	Rational Responses to Extraordinary Hypotheses
M
Machine Learning	Automatic Modelling and Object Identification in Radio Astronomy Understanding Exoplanet Habitability: an AI Framework for Predicting Atmospheric Absorption Spectra
Machine Learning (ML)	Bayesian Inference and Physics-Informed Deep Neural Networks Methods for Inverse Problems
Magnetic diagnostics	Bayesian Integrated Data Analysis and Experimental Design for External Magnetic Plasma Diagnostics: Plasma Current, Centroid Position, and Shape in DEMO
Markov chain Monte Carlo	Rational Responses to Extraordinary Hypotheses Advanced Sampling Methods for Bayesian Inference of Constitutive Behavior Combining Knowledge about Metabolic Networks and Single-cell Data with Maximum Entropy
Mathematical ecology
mathematics	From Cox's Foundation of Probability Theory to Physics
MAXENT	On Singular Bayesian Inference of Underdetermined Quantities Towards the Prediction and Control of Driven Dense Active Matter: Cross-Diffusion and Maxent Open New Avenues
Maximum a posteriori estimate	Inverse Bayesian Methods for Groundwater Vulnerability Assessment
Maximum Entropy	Combining Knowledge about Metabolic Networks and Single-cell Data with Maximum Entropy
Maximum Entropy distributions	A note on maximum entropy multivariate density estimation
MAXIMUM ENTROPY METHOD (MEM)	The Maximum Entropy Method in Turbulence Research
Maximum Entropy Methods	Nonparametric Full Bayesian Significance Testing for Bayesian Histograms
Maximum Entropy Principle	Higher-Order Interactions Effects from the Maximum Entropy Principle of Curved Statistical Manifolds
MCMC for high-dimensional spaces	Constrained Trans-Dimensional Diffusive Nested Sampling for Metabolic Network Inference
melting	Deep Learning Prediction of Waiting Times in Non-Equilibrium Melting
Mesoscopic Scale	Exploring Quantized Entropy Production Strength in Mesoscopic Irreversible Thermodynamics
Metabolic Networks	Combining Knowledge about Metabolic Networks and Single-cell Data with Maximum Entropy Constrained Trans-Dimensional Diffusive Nested Sampling for Metabolic Network Inference
METEOROLOGY	The Maximum Entropy Method in Turbulence Research
mixture modelling	REVISITING OUTLIER-ROBUST SURROGATE MODELING
Model selection	Learned Harmonic Mean with Normalizing Flows for Bayesian Model Comparison in Cosmology
mRNA/LNP	Probabilistic Analysis of RNA Delivery: Insights from Lipid Nanoparticle-Mediated Transport and Release in Cellular Systems
Mutual Information	A Superstatistical Measure of Distance from Canonical Equilibrium
N
Naive Bayesian inference	An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference
NaOH
Nested sampling	Computational Inference The Scaling Frontier of Nested Sampling Constrained Trans-Dimensional Diffusive Nested Sampling for Metabolic Network Inference Nested Sampling for Exploring Lennard - Jones Clusters
non-equilibrium	Deep Learning Prediction of Waiting Times in Non-Equilibrium Melting A Superstatistical Measure of Distance from Canonical Equilibrium
NON-EQUILIBRIUM SYSTEMS	Towards the Prediction and Control of Driven Dense Active Matter: Cross-Diffusion and Maxent Open New Avenues
Nonparametrics	Nonparametric Full Bayesian Significance Testing for Bayesian Histograms
normal distribution	Bayesian Basics
Normalizing flows	Learned Harmonic Mean with Normalizing Flows for Bayesian Model Comparison in Cosmology
Nuclear quantum effects	Nested Sampling for Exploring Lennard - Jones Clusters
O
objective Bayesianism	Agreeing to Disagree Within Objective Quantum Bayesianism: Compatibility of Different Observers’ Quantum States
Orthodontics diagnosis	Interpretable Deep Neural Networks and Bayesian Inference as Real Tools for Orthodontics
outlier robust	REVISITING OUTLIER-ROBUST SURROGATE MODELING
outliers	Weighted Average of Scattered Data: a Bayesian Approach
P
PARAMETER FITTING	The Maximum Entropy Method in Turbulence Research
Partially finite convex programming	A note on maximum entropy multivariate density estimation
physics	From Cox's Foundation of Probability Theory to Physics Conservative Probabilistic Inference in Quantum Mechanics
Physics Informed Deep Neural Network	Bayesian Inference and Physics-Informed Deep Neural Networks Methods for Inverse Problems
Planetary systems
pragmatic hypotheses	Nonparametric FBST for Validating Linear Models
Prediction	Understanding Exoplanet Habitability: an AI Framework for Predicting Atmospheric Absorption Spectra
predictions	Bayesian Basics
probability	From Cox's Foundation of Probability Theory to Physics
Q
qBism	Agreeing to Disagree Within Objective Quantum Bayesianism: Compatibility of Different Observers’ Quantum States
Quantitative microscopy	Probabilistic Analysis of RNA Delivery: Insights from Lipid Nanoparticle-Mediated Transport and Release in Cellular Systems
quantum Bayesianism	Agreeing to Disagree Within Objective Quantum Bayesianism: Compatibility of Different Observers’ Quantum States
quantum mechanics	From Cox's Foundation of Probability Theory to Physics Conservative Probabilistic Inference in Quantum Mechanics Agreeing to Disagree Within Objective Quantum Bayesianism: Compatibility of Different Observers’ Quantum States
Quantum theory	The Arithmetic of Maths and Physics
R
Radio Astronomy	Automatic Modelling and Object Identification in Radio Astronomy
regularization	Bayesian Regularization for Dynamical System Identification Inverse Bayesian Methods for Groundwater Vulnerability Assessment
Reversible Jump MCMC	Constrained Trans-Dimensional Diffusive Nested Sampling for Metabolic Network Inference
risk assessment	Bayesian Basics
RNA-Sequencing	Analytical Bayesian Framework for Differential Gene Expression Analysis Using RNA-Seq Data
robust estimator	Weighted Average of Scattered Data: a Bayesian Approach
S
Safe Testing	E-Values Analysis in Computational Science
Scaling	The Scaling Frontier of Nested Sampling
scatted data	Weighted Average of Scattered Data: a Bayesian Approach
Semantic segmentation	Bayesian Deep Learning for Infrared Image Segmentation
sensor fusion	Sensor Fusion Approaches in Automotive Perception
Single-cell Data	Combining Knowledge about Metabolic Networks and Single-cell Data with Maximum Entropy
sparsification	Bayesian Regularization for Dynamical System Identification
Species distribution modeling	A note on maximum entropy multivariate density estimation
Spectra	Understanding Exoplanet Habitability: an AI Framework for Predicting Atmospheric Absorption Spectra
Spectroscopy	Understanding populations of light curves and spectra: Bayesian functional data analysis in astronomy
Statistical Manifolds	Higher-Order Interactions Effects from the Maximum Entropy Principle of Curved Statistical Manifolds
Statistical significance	The E-Value and the Full Bayesian Significance Test: Logical Properties and Philosophical Consequences
supernovae
Superstatistics	A Superstatistical Measure of Distance from Canonical Equilibrium Thermodynamics of Finite Systems via Molecular Dynamics in Generalized Ensembles
system identification	Bayesian Regularization for Dynamical System Identification
T
Temperature calibration	An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference
Temperature fluctuations	Thermodynamics of Finite Systems via Molecular Dynamics in Generalized Ensembles
Thermodynamics of Irreversible Processes	Exploring Quantized Entropy Production Strength in Mesoscopic Irreversible Thermodynamics
Time series	Understanding populations of light curves and spectra: Bayesian functional data analysis in astronomy
tokamak	Bayesian Soft X-Ray Tomography and Integrated Estimation of Tungsten Impurity Concentration Profiles at the WEST Tokamak
tomography	Bayesian Soft X-Ray Tomography and Integrated Estimation of Tungsten Impurity Concentration Profiles at the WEST Tokamak
Trojan exoplanets
TROPHIC SYSTEMS	Impact of Data Degradation on Information Theory Indices: the Case of the Lim Approach to Food Web Analysis
TURBULENCE MODELING	The Maximum Entropy Method in Turbulence Research
TURBULENT TRANSITIONS	The Maximum Entropy Method in Turbulence Research
U
Uncertainty quantification	Bayesian Deep Learning for Infrared Image Segmentation
V
Value of Information	The Value of Information in Economic Contexts
Variational Quantum Monte Carlo	E-Values Analysis in Computational Science
W
weighted average	Weighted Average of Scattered Data: a Bayesian Approach

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