Monday Morning Haskell: Starting out with Graph Algorithms: Basic DFS
mmhaskell.comΒ·12h
πŸ”—Combinatory Logic
Symmetry in subword segmentation
languagelog.ldc.upenn.eduΒ·1d
πŸ“„Text Segmentation
Unsupervised Video Continual Learning via Non-Parametric Deep Embedded Clustering
arxiv.orgΒ·16h
πŸ“ŠLearned Metrics
Surface Stability Modeling with Universal Machine Learning Interatomic Potentials: A Comprehensive Cleavage Energy Benchmarking Study
arxiv.orgΒ·16h
πŸ•ΈοΈAlgebraic Topology
DeepFold Predictor: Enhanced Protein Folding via Multi-Modal Graph Neural Networks & Bayesian Calibration
dev.toΒ·2dΒ·
Discuss: DEV
πŸŒ€Riemannian Computing
Activation Subspaces for Out-of-Distribution Detection
arxiv.orgΒ·16h
🧠Machine Learning
Achieving Hilbert-Schmidt Independence Under R\'enyi Differential Privacy for Fair and Private Data Generation
arxiv.orgΒ·16h
πŸ”Homomorphic Encryption
**High-Dimensional Spectral Analysis of Planetary Nebula Shell Morphology**
dev.toΒ·21hΒ·
Discuss: DEV
πŸ’ΏOptical Forensics
Hyper-Dimensional Latent Space Reconstruction for Enhanced Image Fidelity in Diffusion Models
dev.toΒ·10hΒ·
Discuss: DEV
πŸ–ΌοΈJPEG XL
Enhanced Cartan Subalgebra Analysis via Multi-Modal Data Fusion & Symbolic Regression
dev.toΒ·3dΒ·
Discuss: DEV
πŸ•ΈοΈAlgebraic Topology
Scalable AI-Driven Diagnostics for Rare Genetic Metabolic Disorders via Multi-Modal Data Fusion
dev.toΒ·1dΒ·
Discuss: DEV
🧠Machine Learning
Enhanced Floating Wind Turbine Blade Fatigue Life Prediction via Deep Feature Fusion
dev.toΒ·1dΒ·
Discuss: DEV
🧩WASM Components
Data-driven Discovery of Digital Twins in Biomedical Research
arxiv.orgΒ·16h
πŸ—‚οΈVector Databases
Predictive Soil Stabilization Algorithm for Ground-Mounted Antenna Foundations
dev.toΒ·12hΒ·
Discuss: DEV
⚑Incremental Computation
Can Multimodal LLMs Solve the Basic Perception Problems of Percept-V?
arxiv.orgΒ·16h
🎡Audio ML
Automated Mineralogical Pattern Recognition via Hyperdimensional Feature Space Mapping and Bayesian Optimization
dev.toΒ·3dΒ·
Discuss: DEV
🏺Computational Archaeology
Guide to Contrastive Learning: Techniques, Models, and Applications
medium.comΒ·2dΒ·
Discuss: Hacker News
🧠Machine Learning
Supervised Learning, Explained Through Classification
dev.toΒ·11hΒ·
Discuss: DEV
🧠Machine Learning
Lewis and Clark marked their trail with laxatives
dev.toΒ·7hΒ·
Discuss: DEV
🏴󠁧󠁒󠁳󠁣󠁴󠁿Scottish Computing
Automated Variant Prioritization via Multi-Modal Graph Neural Networks in Rare Disease Diagnostics
dev.toΒ·1dΒ·
Discuss: DEV
πŸ“ŠHyperLogLog