AI Research Archive
KOINEU is a research analysis platform that summarizes and explains AI and machine learning papers in an accessible format.
Latest Research
An algorithm to verify local threshold testability of deterministic finite automata
AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
Deep-Learned Event Variables for Collider Phenomenology
Designing Limitless Path in Virtual Reality Environment
Extraction of physically meaningful endmembers from STEM spectrum-images combining geometrical and statistical approaches
Editorial by 일리케
Science through a curator's lens — personal analysis by 일리케
EDITORIAL
STATISTICS
Statistics and Machine Learning Are Converging — Here's What That Looks Like
10 Mar, 2026
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EDITORIAL
SECURITY
The Arms Race Against Audio Deepfakes: Where Detection Research Stands in 2026
10 Mar, 2026
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EDITORIAL
NEUROSCIENCE
Mapping the Brain in Real Time: EEG, Graph Networks, and What Neuroscience Is Learning from AI
10 Mar, 2026
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EDITORIAL
ROBOTICS
Robots That Speak Sign Language and Assemble Things: Robotics at the Edge
10 Mar, 2026
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EDITORIAL
AI-SCIENCE
How LLMs Are Changing the Way Scientists Do Research
10 Mar, 2026
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EDITORIAL
ASTROPHYSICS
Stars That Eat Planets and Other Astrophysics Stories Worth Reading
10 Mar, 2026
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Editor's Pick
Quantifying Fidelity: A Decisive Feature Approach to Comparing Synthetic and Real Imagery
경험 재생에서 깊은 망각과 얕은 망각의 비대칭: 작은 버퍼는 특징 공간을 유지하지만 분류 경계는 왜곡한다
ESPADA: Execution Speedup via Semantics Aware Demonstration Data Downsampling for Imitation Learning
A Women's Health Benchmark for Large Language Models
Chat with UAV -- Human-UAV Interaction Based on Large Language Models
How to Tame Your LLM: Semantic Collapse in Continuous Systems
Information Theory
1,601 Papers
Artificial Intelligence
1,580 Papers
Cryptography and Security
1,290 Papers
Data Structures and Algorithms
1,258 Papers
Networking
1,126 Papers
Discrete Mathematics
1,039 Papers
Distributed Computing
981 Papers
Logic in Computer Science
972 Papers
Software Engineering
935 Papers
Machine Learning
932 Papers
Computers and Society
915 Papers
Computational Complexity
861 Papers
Latest in Computer Science
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NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
A Probabilistic Calculus of Cyber-Physical Systems
Bayesian/Graphoid intersection property for factorisation spaces
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning
The Deep Learning Compiler: A Comprehensive Survey
A Formal Approach to Physics-Based Attacks in Cyber-Physical Systems (Extended Version)
Collective Learning
The Computational Complexity of Finding Temporal Paths under Waiting Time Constraints
Handling state space explosion in verification of component-based systems: A review
Optimising Optimisers with Push GP
Sharp worst-case evaluation complexity bounds for arbitrary-order nonconvex optimization with inexpensive constraints
ARES: Adaptive, Reconfigurable, Erasure coded, atomic Storage
High Energy Astrophysics
4,296 Papers
Cosmology
1,434 Papers
Computational Physics
1,379 Papers
Physics and Society
1,070 Papers
Solar and Stellar Astrophysics
988 Papers
Astrophysics of Galaxies
980 Papers
Data Analysis (Physics)
976 Papers
Instrumentation and Methods for Astrophysics
834 Papers
Nonlinear Systems
771 Papers
Statistical Mechanics
730 Papers
Planetary Astrophysics
689 Papers
Geophysics
684 Papers
Latest in Physics
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Spectral estimation for detecting low-dimensional structure in networks using arbitrary null models
Bayesian/Graphoid intersection property for factorisation spaces
Unified model of sediment transport threshold and rate across weak and intense subaqueous bedload, windblown sand, and windblown snow
A method to search for long duration gravitational wave transients from isolated neutron stars using the generalized FrequencyHough
Exoplanet Atmosphere Retrieval from Multifractal Analysis of Secondary Eclipse Spectra
Complete integrability of information processing by biochemical reactions
On rheonomic nonholonomic deformations of the Euler equations proposed by Bilimovich
Adhesion-induced Discontinuous Transitions and Classifying Social Networks
Quantifying Transient Spreading Dynamics on Networks
RBF-FD analysis of 2D time-domain acoustic wave propagation in heterogeneous media
Projectively invariant objects and the index of the group of affine transformations in the group of projective transformations
Simultaneous model calibration and source inversion in atmospheric dispersion models
Information Theory
1,599 Papers
Mathematical Physics
611 Papers
Mathematical Physics
610 Papers
Combinatorics
593 Papers
Category Theory
538 Papers
K-Theory and Homology
428 Papers
General Topology
365 Papers
Optimization and Control
345 Papers
Algebraic Topology
326 Papers
Mathematical Statistics
309 Papers
Probability
302 Papers
Metric Geometry
288 Papers
Latest in Mathematics
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Bayesian/Graphoid intersection property for factorisation spaces
Substitutive structure of Jeandel-Rao aperiodic tilings
Collective Learning
On rheonomic nonholonomic deformations of the Euler equations proposed by Bilimovich
A note on using performance and data profilesfor training algorithms
On Infinite Prefix Normal Words
Sharp worst-case evaluation complexity bounds for arbitrary-order nonconvex optimization with inexpensive constraints
Detecting Directionality in Random Fields Using the Monogenic Signal
Convexly independent subsets of Minkowski sums of convex polygons
Energy Efficiency of Opportunistic Device-to-Device Relaying Under Lognormal Shadowing
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads
Haantjes Algebras of Classical Integrable Systems
Quantitative Methods
536 Papers
Biomolecules
482 Papers
Molecular Networks
444 Papers
Populations and Evolution
351 Papers
Neuroscience
336 Papers
Genomics
288 Papers
Cell Behavior
240 Papers
Subcellular Processes
235 Papers
Tissues and Organs
207 Papers
Other Quantitative Biology
178 Papers
Latest in Medical & Biology
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Complete integrability of information processing by biochemical reactions
Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface
Helminth Dynamics: Mean Number of Worms, Reproductive Rates
A mechanism for sarcomere breathing: volume change and advective flow within the myofilament lattice
Converting Cascade-Correlation Neural Nets into Probabilistic Generative Models
Modeling contact networks of patients and MRSA spread in Swedish hospitals
Fallopian tube anatomy predicts pregnancy and pregnancy outcomes after tubal reversal surgery
An Introduction to Programming for Bioscientists: A Python-based Primer
Maintaining the stem cell niche in multicellular models of epithelia
Normal and pathological dynamics of platelets in humans
Methodology (Stats)
578 Papers
Applications
537 Papers
Machine Learning (Stats)
514 Papers
Statistical Computing
311 Papers
Statistical Theory
304 Papers
Other Statistics
61 Papers
Latest in Statistics
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NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
Bayesian/Graphoid intersection property for factorisation spaces
Exoplanet Atmosphere Retrieval from Multifractal Analysis of Secondary Eclipse Spectra
Collective Learning
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes
Towards Enhancing Fault Tolerance in Neural Networks
d-blink: Distributed End-to-End Bayesian Entity Resolution
Interpretable Biomanufacturing Process Risk and Sensitivity Analyses for Quality-by-Design and Stability Control
Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model
Simultaneous model calibration and source inversion in atmospheric dispersion models
Multiscale Principle of Relevant Information for Hyperspectral Image Classification
Principal Component Analysis: A Natural Approach to Data Exploration
Latest in Engineering
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A Probabilistic Calculus of Cyber-Physical Systems
Fully Convolutional Network for Removing DCT Artefacts From Images
Reversible Adversarial Attack based on Reversible Image Transformation
A Formal Approach to Physics-Based Attacks in Cyber-Physical Systems (Extended Version)
Data-driven computation of invariant sets of discrete time-invariant black-box systems
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes
Data-Driven Participation Factors for Nonlinear Systems Based on Koopman Mode Decomposition
Interpretable Biomanufacturing Process Risk and Sensitivity Analyses for Quality-by-Design and Stability Control
Energy Efficiency of Opportunistic Device-to-Device Relaying Under Lognormal Shadowing
Error Tolerant Path Planning for Swarms of Micro Aerial Vehicles with Quality Amplification
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads
