AI Research Archive
KOINEU is a research analysis platform that summarizes and explains AI and machine learning papers in an accessible format.
Latest Research
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
An illustration of the risk of borrowing information via a shared likelihood
Epsilon-Lexicase Selection for Regression
An Image Identification Scheme of Encrypted JPEG Images for Privacy-Preserving Photo Sharing Services
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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Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains
Why Didnt You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models
Semantic Segmentation of Seismic Images
MiSC: Mixed Strategies Crowdsourcing
Automating System Test Case Classification and Prioritization for Use Case-Driven Testing in Product Lines
Inferring Javascript types using Graph Neural Networks
Human Vocal Sentiment Analysis
Evolving neural networks to follow trajectories of arbitrary complexity
Learned human-agent decision-making, communication and joint action in a virtual reality environment
Why Machines Cannot Learn Mathematics, Yet
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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An all-at-once Newton strategy for methane hydrate reservoir models
Multi-Scale Theory of Elasticity for Geomaterials
The configuration model for Barabasi-Albert networks
The partial visibility curve of the Feigenbaum cascade to chaos
Analyses of celestial pole offsets with VLBI, LLR, and optical observations
The Mobility Network of Scientists: Analyzing Temporal Correlations in Scientific Careers
Terminus Geometry as Main Control on Outlet Glacier Velocity
Data-driven approximations of dynamical systems operators for control
Integrable Lorentz-breaking deformations and RG flows
When Celebrities Speak: A Nationwide Twitter Experiment Promoting Vaccination in Indonesia
The environmental effects of very large bolide impacts on early Mars explored with a hierarchy of numerical models
Using discrete Darboux polynomials to detect and determine preserved measures and integrals of rational maps
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 Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
Metric Curvatures and their Applications 2: Metric Ricci Curvature and Flow
Data-driven approximations of dynamical systems operators for control
Discovering and Proving Infinite Pochhammer Sum Identities
Deep backward schemes for high-dimensional nonlinear PDEs
Fourier and Circulant Matrices are Not Rigid
Against the Tyranny of Pure States in Quantum Theory
Open Problems for Painleve Equations
Second Order Statistics Analysis and Comparison between Arithmetic and Geometric Average Fusion
A Multilevel Approach for the Performance Analysis of Parallel Algorithms
Multi-place nonlocal 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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A computational model for grid maps in neural populations
DUNEuro -- A software toolbox for forward modeling in bioelectromagnetism
The power of moral words: Loaded language generates framing effects in the extreme dictator game
Self-similar shapes under Errera division rule on the cone
Can Transfer Entropy Infer Information Flow in Neuronal Circuits for Cognitive Processing?
Knowing the past improves cooperation in the future
Reducing measles risk in Turkey through social integration of Syrian refugees
A mathematical model of the effects of aging on naive T-cell population and diversity
Divergence Framework for EEG based Multiclass Motor Imagery Brain Computer Interface
Influence of Initial Residual Stress on Growth and Pattern Creation for a Layered Aorta
The behaviour of information flow near criticality
Low-dimensional Embodied Semantics for Music and Language
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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Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning
An illustration of the risk of borrowing information via a shared likelihood
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains
Inferring Javascript types using Graph Neural Networks
Human Vocal Sentiment Analysis
Overlearning Reveals Sensitive Attributes
Atlantic Causal Inference Conference (ACIC) Data Analysis Challenge 2017
An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices
Explainable Reinforcement Learning Through a Causal Lens
Zero-shot task adaptation by homoiconic meta-mapping
Latest in Engineering
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Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
An Image Identification Scheme of Encrypted JPEG Images for Privacy-Preserving Photo Sharing Services
Semantic Segmentation of Seismic Images
Accurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images
Human Vocal Sentiment Analysis
A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical Dual-Energy X-Ray CT Reconstruction
An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE
An attention-based multi-resolution model for prostate whole slide imageclassification and localization
Comparing Energy Efficiency of CPU, GPU and FPGA Implementations for Vision Kernels
Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images
Three dimensions, two microscopes, one code: automatic differentiation for x-ray nanotomography beyond the depth of focus limit
