AI Research Archive
KOINEU is a research analysis platform that summarizes and explains AI and machine learning papers in an accessible format.
Latest Research
Tunable Electronic Transport in Pd$_3$O$_2$Cl$_2$ Kagome Bilayers: Interplay of Stacking Configuration and Strain
Anomaly of Continuous Symmetries from Topological Defect Network
Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse
Convergence of Empirical Measures for i.i.d. samples in $W^{-α, p}$
Domain-Aware Quantum Circuit for QML
Editorial by 일리케
Science through a curator's lens — personal analysis by 일리케
EDITORIAL
6G is Coming: What Researchers Really Say About Human-Machine Collaboration
23 Mar, 2026
일리케
EDITORIAL
AI Models Are Learning to Disagree with Each Other
23 Mar, 2026
일리케
EDITORIAL
AI Reads X-rays Better Than Most Doctors. What's Next?
23 Mar, 2026
일리케
EDITORIAL
Escaping the Prison of the Solar System: How Stars and Planetary Systems Are Born?
23 Mar, 2026
Woojoo Meonji
EDITORIAL
How LLMs Are Changing Scientists' Research Methods
23 Mar, 2026
일리케
EDITORIAL
NASA's Headache? Behind the Scenes of the SLS Rocket and Artemis Mission
23 Mar, 2026
Woojoo Meonji
EDITORIAL
Quantum Leap: The Future of Computing as Told by 2026 Research
23 Mar, 2026
일리케
EDITORIAL
Real-Time Brain Mapping: EEG, Graph Networks, and What Neuroscience is Learning from AI
23 Mar, 2026
일리케
EDITORIAL
Robots Signing and Assembling: Robotics at the Forefront
23 Mar, 2026
일리케
Editor's Pick
ESPADA: Execution Speedup via Semantics Aware Demonstration Data Downsampling for Imitation Learning
TICL+: A Case Study On Speech In-Context Learning for Children's Speech Recognition
Taming the Tail: Stable LLM Reinforcement Learning via Dynamic Vocabulary Pruning
FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMs
Chat with UAV -- Human-UAV Interaction Based on Large Language Models
경험 재생에서 깊은 망각과 얕은 망각의 비대칭: 작은 버퍼는 특징 공간을 유지하지만 분류 경계는 왜곡한다
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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Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse
Domain-Aware Quantum Circuit for QML
Capacitated Partition Vertex Cover and Partition Edge Cover
In-Context Learning for Seismic Data Processing
Learning vertical coordinates via automatic differentiation of a dynamical core
Relative Error Fair Clustering in the Weak-Strong Oracle Model
Holmes: Towards Effective and Harmless Model Ownership Verification to Personalized Large Vision Models via Decoupling Common Features
The Diffusion Duality
Prefix Trees Improve Memory Consumption in Large-Scale Continuous-Time Stochastic Models
Regularized Random Fourier Features and Finite Element Reconstruction for Operator Learning in Sobolev Space
Scalable Distributed Vector Search via Accuracy Preserving Index Construction
Learning Explainable Treatment Policies with Clinician-Informed Representations: A Practical Approach
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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Investigating the AGN variability timescale -- black hole mass relationship with Gaia, SDSS and ZTF
Biswas-Chatterjee-Sen (BChS) kinetic exchange opinion model on modular networks
Systematic search of laser and phase modulation noise coupling in heterodyne interferometry
Active learning emulators for nuclear two-body scattering in momentum space
Constraining primordial non-Gaussianity from DESI DR1 quasars and Planck PR4 CMB Lensing
Witnessing Entanglement in Mixed-Particle Quantum Systems
On Energy-Dependent Neutron Diffusion
Constraining the Nanohertz Gravitational Wave Background with an X-ray Pulsar Timing Array from NICER observations
Archaeological investigation of galaxies' evolutionary history in the cosmic middle ages
Mass Proxy Quality of Massive Halo Properties in the IllustrisTNG and FLAMINGO Simulations: I. Hot Gas
On the complex nature of coronal heating
Revisiting the phenomenologically emergent dark energy model: is non-zero equation of state of dark matter favored by DESI DR2?
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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Spin minimum uncertainty states for refined uncertainty relations
Convergence of Empirical Measures for i.i.d. samples in $W^{-α, p}$
Near-Maturity Asymptotics of Critical Prices of American Put Options under Exponential Lévy Models
Time Optimal Control Problem for the Landau-Lifshitz-Bloch equation
Funnel control with input filter for nonlinear systems of relative degree two
Optimal Control Problems with Nonlocal Conservation Laws: Existence of Optimizers and Singular Limits in Approximations of Local Conservation Laws
The Semi-Classical Limit from the Dirac Equation with Time-Dependent External Electromagnetic Field to Relativistic Vlasov Equations
fractional-time deformation of quantum coherence in open systems: a non-markovian framework beyond lindblad dynamics
Topological cluster synchronization via Dirac spectral programming on directed hypergraphs
Extra-Dimensional η-Invariants and Anomaly Theories
Equivalent bounded confidence processes
Limit of trees with fixed degree sequence
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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Mathematical Modeling of Biofilm Eradication Using Optimal Control
The use of kinematics to quantify gait attributes and predict gait scores in dairy cows
Weak Independence and Coupled Parallelism in Biological Petri Nets
Biosecurity-Aware AI: Agentic Risk Auditing of Soft Prompt Attacks on ESM-Based Variant Predictors
DiffeoMorph: Learning to Morph 3D Shapes Using Differentiable Agent-Based Simulations
Application of machine learning to predict food processing level using Open Food Facts
Long-term impact of PM2.5 on mortality is exacerbated when wildfire events occur
Novel Kuramoto model with inhibition dynamics modeling scale-free avalanches and synchronization in neuronal cultures
Gravity Prior and Temporal Horizon Shape Interceptive Behavior under Active Inference
Temporal, structural, and functional heterogeneities extend criticality and antifragility in random Boolean networks
A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning
Impact of temporary lockdown on disease extinction in assortative networks
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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Regularized Random Fourier Features and Finite Element Reconstruction for Operator Learning in Sobolev Space
Learning Explainable Treatment Policies with Clinician-Informed Representations: A Practical Approach
Principled Identification of Structural Dynamic Models
Opening the House: Datasets for Mixed Doubles Curling
Dirichlet Meets Horvitz and Thompson: Estimating Homophily in Large Networks via Sampling
Clustering and Pruning in Causal Data Fusion
The Stochastic Occupation Kernel (SOCK) Method for Learning Stochastic Differential Equations
Imputation Uncertainty in Interpretable Machine Learning Methods
Recursive state estimation via approximate modal paths
A Dependent Feature Allocation Model Based on Random Fields
A Certified Unlearning Approach without Access to Source Data
A Synthetic Instrumental Variable Method: Using the Dual Tendency Condition for Coplanar Instruments
Latest in Engineering
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Bridging simulation and reality in subsurface radar-based sensing: physics-guided hierarchical domain adaptation with deep adversarial learning
Novel Double-Chirp Preamble Design for Multiuser Asynchronous Massive MIMO LoRa Networks
Spectro-temporal unitary transformations for coherent modulation: design trade-offs and practical considerations
Colormap-Enhanced Vision Transformers for MRI-Based Multiclass (4-Class) Alzheimer's Disease Classification
Near-Field Multi-User Communications via Polar-Domain Beamfocusing: Analytical Framework and Performance Analysis
BM4D-PC: nonlocal volumetric denoising of principal components of diffusion-weighted MR images
Deep Learning-Enabled Multi-Tag Detection in Ambient Backscatter Communications
Deep Reinforcement Learning-Aided Strategies for Big Data Offloading in Vehicular Networks
DNN-based Digital Twin Framework of a DC-DC Buck Converter using Spider Monkey Optimization Algorithm
RSMA-Assited and Transceiver-Coordinated ICI Management for MIMO-OFDM System
Uncertainty-Aware 3D UAV Tracking Using Single-Anchor UWB Measurements
