AtCoder Finals Problem Statement
atcoder.jp·11h·
Discuss: Hacker News
🇯🇵Japanese Computing
Physics-Informed Linear Model (PILM): Analytical Representations and Application to Crustal Strain Rate Estimation
arxiv.org·52m
🌀Differential Geometry
GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices
arxiv.org·1d
🌀Riemannian Computing
Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures
arxiv.org·1d
🧠Neural Codecs
GALDS: A Graph-Autoencoder-based Latent Dynamics Surrogate model to predict neurite material transport
arxiv.org·1d
🌀Riemannian Computing
Dual form Complementary Masking for Domain-Adaptive Image Segmentation
arxiv.org·52m
🤖Advanced OCR
Posture-Driven Action Intent Inference for Playing style and Fatigue Assessment
arxiv.org·52m
📊Learned Metrics
A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning
arxiv.org·1d
🧠Neural Compression
Improving Multimodal Learning via Imbalanced Learning
arxiv.org·2d
📊Learned Metrics
Compressed data structures for Heegaard splittings
arxiv.org·1d
🕳️Persistent Homology
Accelerating seismic inversion and uncertainty quantification with efficient high-rank Hessian approximations
arxiv.org·1d
🌀Differential Geometry
What are Vectors and Matrices?
dev.to·2d·
Discuss: DEV
📐Linear Algebra
Data Fusion and Aggregation Methods to Develop Composite Indexes for a Sustainable Future
arxiv.org·2d
🧠Query Planners
CytoSAE: Interpretable Cell Embeddings for Hematology
arxiv.org·52m
🧠Machine Learning
A Practical Guide to Anomaly Detection in Python
dev.to·20h·
Discuss: DEV
🧠Machine Learning
A parametric activation function based on Wendland RBF
arxiv.org·1d
🧠Machine Learning
The Evolution of Pointwise Statistics in Hyperbolic Equations with Random Data
arxiv.org·1d
🌀Differential Geometry
What are Matrix Operations?
dev.to·1d·
Discuss: DEV
📐Linear Algebra
Deep Generative Methods and Tire Architecture Design
arxiv.org·52m
🌀Riemannian Computing
Graph Representations for Reading Comprehension Analysis using Large Language Model and Eye-Tracking Biomarker
arxiv.org·52m
🧠Intelligence Compression