AI Research Archive
KOINEU is a research analysis platform that summarizes and explains AI and machine learning papers in an accessible format.
Latest Research
Dijkstra-Through-Time: Ahead of time hardware scheduling method for deterministic workloads
Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention
Relational Models of Microarchitectures for Formal Security Analyses
Spectral Proper Orthogonal Decomposition using Multitaper Estimates
The emergence of burstiness in temporal networks
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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Logspace and compressed-word computations in nilpotent groups
MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration
Optimizing thermodynamic trajectories using evolutionary and gradient-based reinforcement learning
A relaxation of the Directed Disjoint Paths problem: a global congestion metric helps
Can you sign a quantum state?
Clique-Width for Hereditary Graph Classes
Pathwidth and nonrepetitive list coloring
Rank and border rank of Kronecker powers of tensors and Strassens laser method
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Population protocols with unreliable communication
Cross-user Similarities in Viewing Behavior for 360$^{circ}$ Video and Caching Implications
Optimizing Data Intensive Flows for Networks on Chips
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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Optimizing thermodynamic trajectories using evolutionary and gradient-based reinforcement learning
Optimal measurement network of pairwise differences
A general-purpose element-based approach to compute dispersion relations in periodic materials with existing finite element codes
Linear classifier, least-squares cost function, and outliers
WaveRange: Wavelet-based data compression for three-dimensional numerical simulations on regular grids
Applications of Grassmannian flows to integrable systems
Complex systems: features, similarity and connectivity
The Effects of Data Quality on the Analysis of Corporate Board Interlock Networks
A Roadmap to Interstellar Flight
The role of network embeddedness on the selection of collaboration partners: An agent-based model with empirical validation
Variational Inference as an alternative to MCMC for parameter estimation and model selection
Simulation-based marginal likelihood for cluster strong lensing cosmology
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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A relaxation of the Directed Disjoint Paths problem: a global congestion metric helps
Clique-Width for Hereditary Graph Classes
Pathwidth and nonrepetitive list coloring
Dynamic scheduling in a partially fluid, partially lossy queueing system
SOSTOOLS Version 4.00 Sum of Squares Optimization Toolbox for MATLAB
Applications of Grassmannian flows to integrable systems
Distributed Adaptive Newton Methods with Global Superlinear Convergence
A users guide to the topological Tverberg conjecture
Embeddings of $k$-complexes into $2k$-manifolds
Ar{i}kan meets Shannon: Polar codes with near-optimal convergence to channel capacity
Refinement of the Equilibrium of Public Goods Games over Networks: Efficiency and Effort of Specialized Equilibria
Complexity and Geometry of Sampling Connected Graph Partitions
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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Biologically Plausible Sequence Learning with Spiking Neural Networks
Identification of cromosomal translocation hotspots via scan statistics
Causal Inference in Disease Spread across a Heterogeneous Social System
An orthotropic electro-viscoelastic model for the heart with stress-assisted diffusion
Study of dose-dependent combination immunotherapy using engineered T cells and IL-2 in cervical cancer
Cell contraction induces long-ranged stress stiffening in the extracellular matrix
Data-driven parameterization of the generalized Langevin equation
Further insights into the interareal connectivity of a cortical network
Metabolic fluxes and value production
Balance of microtubule stiffness and cortical tension determines the size of blood cells with marginal band across species
A trust model for spreading gossip in social networks
Energy landscape analysis of cardiac fibrillation wave dynamics using pairwise maximum entropy model
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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Optimal measurement network of pairwise differences
DERGMs: Degeneracy-restricted exponential random graph models
Linear classifier, least-squares cost function, and outliers
Combining No-regret and Q-learning
Complex systems: features, similarity and connectivity
Integrating data science ethics into an undergraduate major: A case study
Quantifying the Burden of Exploration and the Unfairness of Free Riding
Physically-interpretable classification of biological network dynamics for complex collective motions
Simulation-based marginal likelihood for cluster strong lensing cosmology
A Practical Approach to Proper Inference with Linked Data
A Probabilistic Generative Grammar for Semantic Parsing
Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data
Latest in Engineering
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MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration
Multi-Geometry Spatial Acoustic Modeling for Distant Speech Recognition
Frequency Domain Multi-channel Acoustic Modeling for Distant Speech Recognition
BERTphone: Phonetically-Aware Encoder Representations for Utterance-Level Speaker and Language Recognition
rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method
Distributed Adaptive Newton Methods with Global Superlinear Convergence
Motion Deblurring with an Adaptive Network
Planar Geometry and Image Recovery from Motion-Blur
Block Factor-width-two Matrices and Their Applications to Semidefinite and Sum-of-squares Optimization
Audio inpainting of music by means of neural networks
No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement
