AI Research Archive
KOINEU is a research analysis platform that summarizes and explains AI and machine learning papers in an accessible format.
Latest Research
Architectural Decay as Predictor of Issue- and Change-Proneness
Computational modeling of degradation process of biodegradable magnesium biomaterials
FLACK: Counterexample-Guided Fault Localization for Alloy Models
Gerrymandering on graphs: Computational complexity and parameterized algorithms
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory
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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SECURITY
The Arms Race Against Audio Deepfakes: Where Detection Research Stands in 2026
10 Mar, 2026
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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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AI-SCIENCE
How LLMs Are Changing the Way Scientists Do Research
10 Mar, 2026
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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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Approximate multiplication of nearly sparse matrices with decay in a fully recursive distributed task-based parallel framework
Stable-Matching Voronoi Diagrams: Combinatorial Complexity and Algorithms
A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging
CupQ: A New Clinical Literature Search Engine
Temporal Limits of Privacy in Human Behavior
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures
Proof-of-Execution: Reaching Consensus through Fault-Tolerant Speculation
Fair Regression for Health Care Spending
Parameterized Shifted Combinatorial Optimization
The Impact of RDMA on Agreement
Aurora: Providing Trusted System Services for Enclaves On an Untrusted System
A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks
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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Network interpolation
Scaling advantage in quantum simulation of geometrically frustrated magnets
Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations
Analytical Formulation of the Block-Constrained Configuration Model
NeuDATool: An Open Source Neutron Data Analysis Tools, Supporting GPU Hardware Acceleration, and Across-computer Cluster Nodes Parallel
Quantifying Triadic Closure in Multi-Edge Social Networks
Stability and instability of breathers in the $U(1)$ Sasa-Satusuma and Nonlinear Schr"odinger models
From Relational Data to Graphs: Inferring Significant Links using Generalized Hypergeometric Ensembles
Topological universality of on-demand ride-sharing efficiency
HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks
Node and layer eigenvector centralities for multiplex networks
Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer
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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Stationary points at infinity for analytic combinatorics
Analytical Formulation of the Block-Constrained Configuration Model
Stability and instability of breathers in the $U(1)$ Sasa-Satusuma and Nonlinear Schr"odinger models
Parameterized Shifted Combinatorial Optimization
On Nonnegative Integer Matrices and Short Killing Words
A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks
Personalized Pareto-Improving Pricing-and-Routing Schemes for Near-Optimum Freight Routing: An Alternative Approach to Congestion Pricing
On the stability of network indices defined by means of matrix functions
Diffusion of innovation in large scale graphs
On Maximal Robust Positively Invariant Sets in Constrained Nonlinear Systems
Fractal Intersections and Products via Algorithmic Dimension
Multilinear Control Systems Theory
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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Pulsing dynamics in randomly wired glider cellular automata
The syncytial Drosophila embryo as a mechanically excitable medium
A note on stress-driven anisotropic diffusion and its role in active deformable media
Multiclass Common Spatial Pattern for EEG based Brain Computer Interface with Adaptive Learning Classifier
Learning with hidden variables
Phase mapping for cardiac unipolar electrograms with neural network instead of phase transformation
Cognitive swarming in complex environments with attractor dynamics and oscillatory computing
Segmentation of MRI head anatomy using deep volumetric networks and multiple spatial priors
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
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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Analytical Formulation of the Block-Constrained Configuration Model
Quantifying Triadic Closure in Multi-Edge Social Networks
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures
From Relational Data to Graphs: Inferring Significant Links using Generalized Hypergeometric Ensembles
Fair Regression for Health Care Spending
MGpi: A Computational Model of Multiagent Group Perception and Interaction
Universal discriminative quantum neural networks
Security and Privacy Issues in Deep Learning
Simple connectome inference from partial correlation statistics in calcium imaging
Penalized Ensemble Kalman Filters for High Dimensional Non-linear Systems
A slice tour for finding hollowness in high-dimensional data
Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs
Latest in Engineering
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A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks
On Maximal Robust Positively Invariant Sets in Constrained Nonlinear Systems
Multilinear Control Systems Theory
Inverse Optimization with Kernel Regression: Application to the Power Forecasting and Bidding of a Fleet of Electric Vehicles
Free-breathing and ungated cardiac cine using navigator-less spiral SToRM
Threat determination for radiation detection from the Remote Sensing Laboratory
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation
An efficient bounded-variable nonlinear least-squares algorithm for embedded MPC
Policy Iterations for Reinforcement Learning Problems in Continuous Time and Space -- Fundamental Theory and Methods
Extended pipeline for content-based feature engineering in music genre recognition
