On Information and Sufficiency

1951/03/01 by S. Kullback, R. A. Leibler · 20,182 citations
Computer Science · Mathematics · #Computability, Logic, AI Algorithms #Econometrics #Mathematical economics #Mathematics

paper · pdf · doi:10.1214/aoms/1177729694

published in The Annals of Mathematical Statistics 22(1), 79-86 (Institute of Mathematical Statistics)

openalex publication_date 1951/03/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

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• On the Sample Complexity of Learning Bayesian Networks
• A Low-Compexity Deep Learning Framework For Acoustic Scene Classification
• Expected Information Maximization: Using the I-Projection for Mixture Density Estimation
• Earthquake Detection in 1-D Time Series Data with Feature Selection and Dictionary Learning
• Temperature calibration of surface emissivities with an improved thermal image enhancement network
• Independent vector analysis -- an introduction for statisticians
• Stabilizing simulation-based cosmological Fisher forecasts: a case study using the Voronoi volume function
• Replicator equations and the principle of minimal production of information
• Path Integral Monte Carlo in the Angular Momentum Basis for a Chain of Planar Rotors
• Thermal Contact I : Symmetries ruled by Exchange Entropy Variations
• Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks
• Digging deeper: deep joint species distribution modeling reveals environmental drivers of Earthworm Communities
• Model Prior Distribution for Variable Selection in Linear Regression Models
• Efficient sampling of Gaussian graphical models using conditional Bayes factors
• Regularized Moment Measures
• Kernel Density Estimation for Compositional Data
• Representation Learning for Short Text Clustering
• Pre-trained Summarization Distillation
• Weighted Adaptive Coding
• Plans D'Experiences D'Information De Kullback-Leibler Minimale
• Nonparametric Multiple Change Point Detection for Non-Stationary Times Series
• Differential Privacy in Machine Learning: From Symbolic AI to LLMs
• NAND Hybrid Riboswitch Design by Deep Batch Bayesian Optimization
• Deep generative AI models analyzing circulating orphan non-coding RNAs enable detection of early-stage lung cancer
• Comparing probability distributions: application to quantum states of light
• Multi-marginal optimal transport and probabilistic graphical models
• Parsimonious Inference
• A family of statistical symmetric divergences based on Jensen's inequality
• Trust the process: mapping data-driven reconstructions to informed models using stochastic processes
• Kernel k-Medoids as General Vector Quantization
• A hierarchy of self-consistent stochastic boundary conditions for Ising lattice simulations
• Beyond GWTC-3: analyzing and verifying new gravitational-wave events from community catalogues
• Graph topology estimation of power grids using pairwise mutual information of time series data
• A Simple Variational Bayes Detector for Orthogonal Time Frequency Space (OTFS) Modulation
• Superpixel-Guided Label Softening for Medical Image Segmentation
• N-body Information Theory (NbIT) Analysis of Rigid-Body Dynamics in Intracellular Loop 2 of the 5-HT2A Receptor
• Respiratory Particle Deposition Probability due to Sedimentation with Variable Gravity and Electrostatic Forces
• Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution
• Adversarial Examples in Modern Machine Learning: A Review
• The Value of Interaction in Data Intelligence
• Modeling spatiotemporal noise covariance for MEG/EEG source analysis
• Shortcut Matrix Product States and its applications
• Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis
• Deep Learning on Graphs: A Survey
• A Complexity-Based Approach to Quantum Observable Equilibration
• Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference
• Deep Semi-Martingale Optimal Transport
• A Semantic Generalization of Shannon's Information Theory and Applications
• Computing the Kullback-Leibler Divergence between two Generalized Gamma Distributions
• How to partition diversity
• Ensemble-Based Peak Demand Probability Density Forecasting with Application to Risk-Aware Power System Scheduling
• Bilingual Topic Models for Comparable Corpora
• Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search
• Targeted Estimation of L2 Distance Between Densities and its Application to Geo-spatial Data
• Domain Adaptation on Semantic Segmentation for Aerial Images
• The permutation entropy and its applications on fire tests data
• Scalable Class-Centric Visual Interactive Labeling
• DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification
• Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data
• Bayesian Field Theory: Nonparametric Approaches to Density Estimation, Regression, Classification, and Inverse Quantum Problems
• Addressing Marketing Bias in Product Recommendations
• The thermodynamics of prediction
• Inferring Material Parameters from Current-Voltage Curves in Organic Solar Cells via Neural-Network-Based Surrogate Models
• Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections
• Thermodynamical aspects of fermions in external electromagnetic fields
• Logarithmic Gradient Transformation and Chaos Expansion of Ito Processes
• Unsupervised Latent Pattern Analysis for Estimating Type 2 Diabetes Risk in Undiagnosed Populations
• GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run
• A Distance-based Framework for Gaussian Processes over Probability Distributions
• Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic
• A Bayesian Perspective on Training Speed and Model Selection
• RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks
• Building Hierarchies of Concepts via Crowdsourcing
• Affective Image Editing: Shaping Emotional Factors via Text Descriptions
• Policy Search by Target Distribution Learning for Continuous Control
• Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus
• From Temporal to Spatial: Designing Spatialized Interactions with Segmented-audios in Immersive Environments for Active Engagement with Performing Arts Intangible Cultural Heritage
• Efficient Wasserstein Natural Gradients for Reinforcement Learning
• Universal Models for the Exponential Distribution
• Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching
• A Channel Coding Benchmark for Meta-Learning
• Robust Kernel Density Estimation with Median-of-Means principle
• Mining the Web for the Voice of the Herd to Track Stock Market Bubbles
• Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems
• Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments
• Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification
• SM+: Refined Scale Match for Tiny Person Detection
• Measuring spin precession from massive black hole binaries with gravitational waves: insights from time-domain signal morphology
• An architecture for multidimensional computer adaptive test with educational purposes
• A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One
• Sampling NNLO QCD phase space with normalizing flows
• Determining the Importance of Physicochemical Properties in the Perceived Quality of Wines
• An objective prior that unifies objective Bayes and information-based inference
• Mining Insights from Weakly-Structured Event Data
• Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional data
• Extracting the main trend in a dataset: the Sequencer algorithm
• A Transformer-Assisted Cascade Learning Network for Choroidal Vessel Segmentation
• Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey
• Studying Product Competition Using Representation Learning
• Roles of community and sexual contacts as drivers of clade I mpox outbreaks
• VIP - Variational Inversion Package with example implementations of Bayesian tomographic imaging
• Developing Bonded Potentials for a Coarse-Grained Model of Intrinsically Disordered Proteins
• Curiosity and the dynamics of optimal exploration
• Encoding prior knowledge in ensemble refinement
• A note on predator-prey dynamics in radiocarbon datasets
• Testing (Infinitely) Many Zero Restrictions
• Observational causality by states and interaction type for scientific discovery
• Information Criterion for Boltzmann Approximation Problems
• Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma
• Community detection in graphs
• The distance between the weights of the neural network is meaningful
• Is Discriminator a Good Feature Extractor?
• Optimal Experimental Design for Mathematical Models of Hematopoiesis
• Nonparametric extensions of nuclear equations of state: probing the breakdown scale of relativistic mean-field theory
• A Versatile Dataset of Mouse and Eye Movements on Search Engine Results Pages
• Ranking-aware Continual Learning for LiDAR Place Recognition
• Classical description of quantum randomness using stochastic gauge systems
• Robust Method for Confidence Interval Estimation in Outlier-Prone Datasets: Application to Molecular and Biophysical Data
• Alignment Attention by Matching Key and Query Distributions
• Info-Clustering: A Mathematical Theory for Data Clustering
• Regularization of covariance matrices on Riemannian manifolds using linear systems
• Generative Replay-based Continual Zero-Shot Learning
• Asymptotic Shape of Quantum Markov Semigroups for Compact Uniform Trees
• High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations
• Tensor Probabilistic Model Checking of Finite-Horizon Markov Chains
• Variational Inference: A Review for Statisticians
• Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries
• Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG
• A highly permeable species boundary between two anadromous fishes
• Gradient pattern analysis of short solar radio bursts
• On some properties of Tsallis hypoentropies and hypodivergences
• SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural Networks for Acoustic Scene Classification
• The Value of Information in Multi-Scale Feedback Systems
• Markovian Representation of Stochastic Processes by Canonical Variables
• On minimum information prior distributions
• Generalized information-entropy measures and Fisher information
• Controllable Dual Skew Divergence Loss for Neural Machine Translation
• FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams
• Predicting transcription factor specificity with all-atom models
• An Improved Random Matrix Prediction Model for Manoeuvring Extended Targets
• Estimation of cosmological parameters using adaptive importance sampling
• Model selection criteria of the standard censored regression model based on the bootstrap sample augmentation mechanism
• Self-Supervised Learning by Estimating Twin Class Distributions
• Bayesian Estimation of the Threshold of a Generalised Pareto Distribution for Heavy-Tailed Observations
• Robust inference of trees
• Estimating probability densities from short samples: A parametric maximum likelihood approach
• Analysis of a large-scale weighted network of one-to-one human communication
• Yet on statistical properties of traded volume: Correlation and mutual information at different value magnitudes
• The Information Coded in the Yeast Response Elements Accounts for Most of the Topological Properties of Its Transcriptional Regulation Network
• Weighted Statistical Binning: Enabling Statistically Consistent Genome-Scale Phylogenetic Analyses
• Developing Habitat-suitability Maps of Invasive Ragweed (Ambrosia artemisiifolia.L) in China Using GIS and Statistical Methods
• The genetic structure of Spanish Celtic horse breeds inferred from microsatellite data
• Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints
• Introduction to Quantum Thermodynamics (Lecture Notes)
• Relative Divergence Measures and Information Inequalities
• No-Broadcasting Theorem and Its Classical Counterpart
• Length of Time’s Arrow
• Epistemic Neural Networks
• Financial density forecasts: A comprehensive comparison of risk‐neutral and historical schemes
• The role of relative entropy in quantum information theory
• Quantum similarity study of atomic density functions: Insights from information theory and the role of relativistic effects
• Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey
• A survey of interestingness measures for knowledge discovery
• Modeling the Second Player in Distributionally Robust Optimization
• Effective rate equations for the overdamped motion in fluctuating potentials
• VOMBAT: prediction of transcription factor binding sites using variable order Bayesian trees
• Efficient grid-based Bayesian estimation of nonlinear low-dimensional systems with sparse non-Gaussian PDFs
• Temporal, Spatial, and Environmental Influences on the Demographics of Grizzly Bears in the Greater Yellowstone Ecosystem
• Reference Analysis
• Observability of Rényi’s entropy
• Classical no-cloning theorem under Liouville dynamics by non-Csiszár f-divergence
• Maximum entropy autoregressive conditional heteroskedasticity model
• Stochastic collection and replenishment (SCAR): Objective functions
• Null Hypothesis Testing: Problems, Prevalence, and an Alternative
• Quantum-inspired exoplanet detection in the presence of experimental imperfections
• Bayes not Bust! Why Simplicity is no Problem for Bayesians
• Large Retrotransposon Derivatives: Abundant, Conserved but Nonautonomous Retroelements of Barley and Related Genomes
• Fast and accurate parameter estimation of high-redshift sources with the Einstein Telescope
• A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models
• The genomic history of the Aegean palatial civilizations
• Information content of spontaneous symmetry breaking
• Fast and accurate inference on gravitational waves from precessing compact binaries
• Products of weighted logic programs
• Spatial adaptation in heteroscedastic regression: Propagation approach
• Information-theoretic Measures for Objective Evaluation of Classifications
• On Rereading R. A. Fisher
• Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms
• Emergence of Assortative Mixing between Clusters of Cultured Neurons
• Quintessence in a quandary: Prior dependence in dark energy models
• Bayesian Network Classifiers
• Towards effective assessment of steady state performance in Java software: are we there yet?
• A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences
• Probabilities of Hypotheses and Information-Statistics in Sampling from Exponential-Class Populations
• Projected changes of rainfall seasonality and dry spells in a high greenhouse gas emissions scenario
• From Boltzmann to random matrices and beyond
• Knowledge acquisition from social platforms based on network distributions fitting
• Pull out all the stops: Textual analysis via punctuation sequences
• A Second Law for Open Markov Processes
• The Akaike information criterion: Background, derivation, properties, application, interpretation, and refinements
• Model-order selection
• Copula information criterion for model selection with two-stage maximum likelihood estimation
• Classifying sleep states using persistent homology and Markov chain: a Pilot Study
• A Bayesian Feature Allocation Model for Identification of Cell Subpopulations Using Cytometry Data
• oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions
• Analysis of performance criteria for optimization based bearing only target tracking algorithms
• Relative information entropy in cosmology: The problem of information entanglement
• Recent advances in inverse scattering, Schur analysis and stochastic processes : a collection of papers dedicated to Lev Sakhnovich
• Combinatorial entropies and statistics
• Evaluation of Bayesian networks with flexible state-space abstraction methods
• Thermal roots of correlation‐based complexity
• Economics of disagreement -- financial intuition for the Rényi divergence
• Kullback-Leibler information as a basis for strong inference in ecological studies
• Letters to the Editor
• Deep learning investigation for chess player attention prediction using eye-tracking and game data
• A Drift Aware Hierarchical Test Based Approach for Combating Social Spammers in Online Social Networks
• Bayesian Measures of Model Complexity and Fit
• Beyond Strictly Proper Scoring Rules: The Importance of Being Local
• Implementations in Machine Ethics
• On the use of stochastic differential geometry for non-equilibrium thermodynamic modeling and control
• Feature Selection via <i>l</i>₁-Penalized Squared-Loss Mutual Information
• Invisible Higgs search through vector boson fusion: a deep learning approach
• One-way quantum repeaters with quantum Reed-Solomon codes
• Assessing tension metrics with dark energy survey and Planck data
• Regularising data for practical randomness generation
• Bose-Einstein correlations of same-sign charged pions in the forward region in pp collisions at s = 7 √(s)=7 TeV
• Optimizing Data for Modeling Neuronal Responses
• Task-oriented Design through Deep Reinforcement Learning
• Strong convergence towards homogeneous cooling states for dissipative Maxwell models
• Machine Learning Accelerates Parameter Optimization and Uncertainty Assessment of a Land Surface Model
• Parameter estimation of stellar-mass black hole binaries with LISA
• Approximation by finite mixtures of continuous density functions that vanish at infinity
• Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection
• Penalized complexity priors for degrees of freedom in Bayesian P-splines
• Orbital phase-driven biases in galactic mass constraints from stellar streams
• Quantum collapse rules from the maximum relative entropy principle
• A Nuclear Equation of State Inferred from Stellar r-process Abundances
• The ρ Ophiuchi region revisited with Gaia EDR3
• Optimal distributions of growing‐type initial perturbations for ensemble forecasts: Theory and application in the Lorenz‐96 model
• Regularity properties and pathologies of position-space renormalization-group transformations: Scope and limitations of Gibbsian theory
• A Novel Measure to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images
• Exponential decay of mutual information for Gibbs states of local Hamiltonians
• Extracting the signed backbone of intrinsically dense weighted networks
• Forecasting a time series of Lorenz curves: One-way functional analysis of variance
• Large alphabets and incompressibility
• Making Consensus Tractable
• Systematic Asset Allocation using Flexible Views for South African Markets
• A Survey on Quantum Channel Capacities
• Robustness Analysis of Air Route Network Based on Topology Potential and Relative Entropy Methods
• Astroinformatics-based search for globular clusters in the Fornax Deep Survey
• Combining Simulations and Solution Experiments as a Paradigm for RNA Force Field Refinement
• anesthetic: nested sampling visualisation
• Estimation of HII Bubble Size Distribution from 21cm Power Spectrum with Artificial Neural Networks
• Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model
• Unsupervised Generative Modeling Using Matrix Product States
• Optimized Quantum F-Divergences
• On the Progenitor of Binary Neutron Star Merger GW170817
• META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection
• The stochastic spectator
• Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method
• Controlling information capacity of binary neural network
• Denoising, deconvolving, and decomposing photon observations
• Relative entropic uncertainty relation
• Pattern recognition at different scales: A statistical perspective
• Dissecting stellar chemical abundance space with t-SNE
• Pairwise Maximum Entropy Models for Studying Large Biological Systems: When They Can Work and When They Can't
• Fluctuation Relations of Fitness and Information in Population Dynamics
• Sparse dynamical Boltzmann machine for reconstructing complex networks with binary dynamics
• Manipulation Motion Taxonomy and Coding for Robots
• Probability Update: Conditioning vs. Cross-Entropy
• Free-Energy Model of Emotion Potential: Modeling Arousal Potential as Information Content Induced by Complexity and Novelty
• Using symbolic networks to analyse dynamical properties of disease outbreaks
• Learning over von Mises-Fisher Distributions via a Wasserstein-like Geometry
• An adaptive Origin-Destination flows cluster-detecting method to identify urban mobility trends
• MIMO Interference Alignment Over Correlated Channels With Imperfect CSI
• Process monitoring using maximum sequence divergence
• The decisive future of inflation
• Quantum theory of incompatible observations
• On the Heisenberg principle at macroscopic scales: understanding\n classical negative information. Towards a general physical theory of\n information
• Flow-based sampling for fermionic lattice field theories
• Representing higher-order dependencies in networks
• Dissecting multi-photon resonances at the large hadron collider
• Cross-Entropy Method in Application to the SIRC Model
• The subset argument and consistency of MLE in GLMM: Answer to an open problem and beyond
• Relative entropic uncertainty relation for scalar quantum fields
• Experimental relativity with accretion disk observations
• Analyzing evolving stories in news articles
• Individuals, institutions, and innovation in the debates of the French Revolution
• Hardware-Aware In Situ Learning Based on Stochastic Magnetic Tunnel Junctions
• Weak Quasi-Factorization for the Belavkin-Staszewski Relative Entropy
• The non-Gaussianity of the cosmic shear likelihood or how odd is theChandraDeep Field South?
• On the Conditional Independence Implication Problem: A Lattice-Theoretic\n Approach
• Mixed-membership of experts stochastic blockmodel
• Robust and Precise Vehicle Localization Based on Multi-Sensor Fusion in Diverse City Scenes
• Hypothesis testing and entropies of quantum channels
• Variational inference as an alternative to MCMC for parameter estimation and model selection
• Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models
• Characterizing concept drift
• A differential geometric approach to statistical inference on the basis of contrast functionals
• Efficient statistically accurate algorithms for the Fokker–Planck equation in large dimensions
• ACTION-SPACE CLUSTERING OF TIDAL STREAMS TO INFER THE GALACTIC POTENTIAL
• Optimal Bayesian experimental design for subsurface flow problems
• Comparing approximate methods for mock catalogues and covariance matrices – I. Correlation function
• Geometric Approach to Quantum Statistical Inference
• Inferring the parameters of a Markov process from snapshots of the steady state
• The Random Gas of Hard Spheres
• Classical-like behavior in quantum walks with inhomogeneous, time-dependent coin operators
• Fluctuation theorems from Bayesian retrodiction
• Discrete Approximation of a Mixture Distribution via Restricted Divergence
• Applying Information Theory to Design Optimal Filters for Photometric Redshifts
• Wehrl entropy, entropic uncertainty relations, and entanglement
• S3
• A generalization of the Kullback–Leibler divergence and its properties
• Machine learning action parameters in lattice quantum chromodynamics
• Statistics of nonpolarized points in the CMB polarization maps
• Parsimonious modeling with information filtering networks
• Image patch analysis of sunspots and active regions
• Ranking power spectra: a proof of concept
• Unifying Specialist Image Embedding into Universal Image Embedding
• Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets
• Approximating discrete probability distributions with dependence trees
• Lifting Factor Graphs with Some Unknown Factors for New Individuals
• On Divergences and Informations in Statistics and Information Theory
• Information Theory and Statistics: A Tutorial
• Reinterpreting the development of extensive air showers initiated by nuclei and photons
• HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs
• Computer-assisted assessment of phonetic fluency in a second language: a longitudinal study of Japanese learners of French
• An update-resilient Kalman filtering approach
• The Poincaré-Shannon Machine: Statistical Physics and Machine Learning Aspects of Information Cohomology
• Adversarial Training for Dynamics Matching in Coarse-Grained Models
• Portfolio optimization with a prescribed terminal wealth distribution
• Divergence (statistics) [wikipedia]
• Kullback–Leibler divergence [wikipedia]
• Optimisation of NMR dynamic models II. A new methodology for the dual optimisation of the model-free parameters and the Brownian rotational diffusion tensor. [europepmc]
• Performance of criteria for selecting evolutionary models in phylogenetics: a comprehensive study based on simulated datasets. [europepmc]
• Life as we know it. [europepmc]
• Methods and approaches in the topology-based analysis of biological pathways. [europepmc]
• The phase of thalamic alpha activity modulates cortical gamma-band activity: evidence from resting-state MEG recordings. [europepmc]
• Skylign: a tool for creating informative, interactive logos representing sequence alignments and profile hidden Markov models. [europepmc]
• Knowing one's place: a free-energy approach to pattern regulation. [europepmc]
• Monomeric Aβ(1-40) and Aβ(1-42) Peptides in Solution Adopt Very Similar Ramachandran Map Distributions That Closely Resemble Random Coil. [europepmc]
• Trends in Life Expectancy and Lifespan Variation by Educational Attainment: United States, 1990-2010. [europepmc]
• NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets. [europepmc]
• Emerging Computational Methods for the Rational Discovery of Allosteric Drugs. [europepmc]
• Alignment-free sequence comparison: benefits, applications, and tools. [europepmc]
• Whole brain comparative anatomy using connectivity blueprints. [europepmc]
• Interpretable dimensionality reduction of single cell transcriptome data with deep generative models. [europepmc]
• A Novel Sparse Compositional Technique Reveals Microbial Perturbations. [europepmc]
• Identifying critical state of complex diseases by single-sample Kullback-Leibler divergence. [europepmc]
• Coarse graining molecular dynamics with graph neural networks. [europepmc]
• Active inference on discrete state-spaces: A synthesis. [europepmc]
• A de novo molecular generation method using latent vector based generative adversarial network. [europepmc]
• Unsupervised Learning Methods for Molecular Simulation Data. [europepmc]
• MicroRNA sequence codes for small extracellular vesicle release and cellular retention. [europepmc]
• A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments. [europepmc]
• Bottom-up Coarse-Graining: Principles and Perspectives. [europepmc]
• Uncovering novel mutational signatures by de novo extraction with SigProfilerExtractor. [europepmc]
• Missing data in multi-omics integration: Recent advances through artificial intelligence. [europepmc]