AI Research Archive
KOINEU is a research analysis platform that summarizes and explains AI and machine learning papers in an accessible format.
Latest Research
Decision Oriented Technique (DOTechnique): Finding Model Validity Through Decision-Maker Context
DISC-GAN: Disentangling Style and Content for Cluster-Specific Synthetic Underwater Image Generation
FML-bench: A Benchmark for Automatic ML Research Agents Highlighting the Importance of Exploration Breadth
Harnessing Consistency for Robust Test-Time LLM Ensemble
HYPERDOA: Robust and Efficient DoA Estimation using Hyperdimensional Computing
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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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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Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
Mission Aware Cyber-physical Security
An $O(n^3)$ time algorithm for the maximum-weight limited-capacity many-to-many matching
State machines for large scale computer software and systems
A note reviewing Turings 1936
Strategizing against No-regret Learners
A Theory of Relation Learning and Cross-domain Generalization
Real-time Air Pollution prediction model based on Spatiotemporal Big data
The Optimal Approximation Factor in Density Estimation
Achieving Dalenius Goal of Data Privacy with Practical Assumptions
Self-Organization and Artificial Life
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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Concept study and preliminary design of a cold atom interferometer for space gravity gradiometry
Lithium Adsorbtion on Polyacenes $&$ Zig-zag-edge Graphene Strips
Multisymplectic structures and invariant tensors for Lie systems
A review of mechanistic and data-driven models of terrorism and radicalization
Statistical Analysis of weather variables of Antofagasta
The splitting in potential Crank-Nicolson scheme with discrete transparent boundary conditions for the Schr"odinger equation on a semi-infinite strip
Evidence of Nuclear Urca Process in the Ocean of Neutron-Star Superburst MAXI J1752$-$457
Solving the tetrahedron equation by Teichmüller TQFT
Hydrodynamics of Dense Active Fluids: Turbulence-Like States and the Role of Advected Activity
Empathy Modeling in Active Inference Agents for Perspective-Taking and Alignment
Tipping points in complex ecological systems
Atmospheric aerosols at the Pierre Auger Observatory and environmental implications
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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Multisymplectic structures and invariant tensors for Lie systems
The Optimal Approximation Factor in Density Estimation
Achieving Dalenius Goal of Data Privacy with Practical Assumptions
The Zero-Difference Properties of Functions and Their Applications
Spectral entropy of the discrete Hasimoto effective potential exposes sub-residue geometric transitions in protein secondary structure
Solving the tetrahedron equation by Teichmüller TQFT
Time consistent portfolio strategies for a general utility function
Higher topological cyclic homology and the Segal conjecture for tori
Zero-Forcing Precoding for Frequency Selective MIMO Channels with $H^infty$ Criterion and Causality Constraint
Ambitable topological groups
Quantum Field Theory and Differential Geometry
When is Group Cohomology Finitary?
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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Transverse contributions to the longitudinal stiffness of the human foot
Self-Organization and Artificial Life
Spectral entropy of the discrete Hasimoto effective potential exposes sub-residue geometric transitions in protein secondary structure
From female choice to social structure: Modeling harem formation in camelids
Tipping points in complex ecological systems
Inferring Neuronal Network Connectivity from Spike Data: A Temporal Datamining Approach
Loss of least-loaded class in asexual populations due to drift and epistasis
Identifying short motifs by means of extreme value analysis
Chance and necessity in chromosomal gene distributions
Bounding the Size and Probability of Epidemics on Networks
Quantifying intermittent transport in cell cytoplasm
Shannon Information Capacity of Discrete Synapses
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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Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
Statistical Analysis of weather variables of Antofagasta
The Optimal Approximation Factor in Density Estimation
Forecasting the Evolving Composition of Inbound Tourism Demand: A Bayesian Compositional Time Series Approach Using Platform Booking Data
Stochastic Discount Factors with Cross-Asset Spillovers
Metaorder modelling and identification from public data
The impact of class imbalance in logistic regression models for low-default portfolios in credit risk
The adjusted Viterbi training for hidden Markov models
Deconvolution of confocal microscopy images using proximal iteration and sparse representations
Analysis of boosting algorithms using the smooth margin function
Accounting for self-protective responses in randomized response data from a social security survey using the zero-inflated Poisson model
Latest in Engineering
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Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
Towards Robust Deep Neural Networks for Affect and Depression Recognition from Speech
Optimal Charging of an Electric Vehicle Battery Pack: A Real-Time Sensitivity-Based MPC approach
Physiological Closed-Loop Control (PCLC) Systems: Review of a Modern Frontier in Automation
Physics-guided Convolutional Neural Network (PhyCNN) for Data-driven Seismic Response Modeling
Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data
Correlation Priors for Reinforcement Learning
Robust Hierarchical MPC for Handling Long Horizon Demand Forecast Uncertainty with Application to Automotive Thermal Management
First Steps Towards Full Model Based Motion Planning and Control of Quadrupeds: A Hybrid Zero Dynamics Approach
Data Driven Estimation of Stochastic Switched Linear Systems of Unknown Order
A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation
