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πŸ“ˆ Time Series

Temporal Data, Compression Algorithms, Forecasting, Storage Optimization

Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification
arxiv.orgΒ·22h
🧠Machine Learning
A Minimal DDPM
github.comΒ·35mΒ·
Discuss: Hacker News
🧠Machine Learning
Advanced PDF Optimization Techniques - 1752612
dev.toΒ·5hΒ·
Discuss: DEV
πŸ“Text Compression
News for June 2025
ptreview.sublinear.infoΒ·1d
πŸ•ΈοΈGraph Algorithms
Thousands of years of climate data refined to better predict future environmental changes
phys.orgΒ·11h
🧊Arctic Storage
Integer Division in Bucketed Time Series
uvdn7.github.ioΒ·1dΒ·
Discuss: Hacker News
πŸ”’Bitwise Algorithms
Benchmarking AWS Nova on Log Data: How It Compares to ChatGPT-3.5
bronto.ioΒ·11hΒ·
Discuss: Hacker News
πŸ“Log Parsing
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
arxiv.orgΒ·22h
🧠Machine Learning
AI/ML-Based Storage Optimization: Training a Model to Predict Costs and Recommend Configurations
dev.toΒ·1dΒ·
Discuss: DEV
🧠Learned Indexes
Students, here are 5 key things to know when learning how to train large language models
techradar.comΒ·9h
πŸ’»Local LLMs
Show HN: I built a no-code ETL tool (v0.2) to clean messy CSVs using prompts
news.ycombinator.comΒ·9hΒ·
Discuss: Hacker News
🚚Data Migration
Billions of Edges per Second with Postgres
onesparse.comΒ·7hΒ·
Discuss: Hacker News
πŸ—œοΈGraph Compression
New Benchmark suite for analytical DBs using real-world SQL queries
github.comΒ·9hΒ·
Discuss: Hacker News
πŸ“Database WAL
EV-STLLM: Electric vehicle charging forecasting based on spatio-temporal large language models with multi-frequency and multi-scale information fusion
arxiv.orgΒ·22h
🧠Machine Learning
Building End-to-End Data Pipelines: From Data Ingestion to Analysis
kdnuggets.comΒ·12h
🌊Stream Processing
High-Quality Live Video Streaming via Transcoding Time Prediction and Preset Selection
arxiv.orgΒ·22h
πŸŽ₯Streaming Codecs
A New Breed of Chatbots Are Quietly Changing Product Management
hackernoon.comΒ·1d
πŸŒ€Brotli Internals
Causal Discovery-Driven Change Point Detection in Time Series
arxiv.orgΒ·22h
🧠Machine Learning
Types That Count: Journey across Qualitative and Quantitative Intersection Types
iris.unito.itΒ·1dΒ·
Discuss: Hacker News
πŸ”Type Inference
Benford's Law and the Ahlstrom Conjecture
jamesmccaffrey.wordpress.comΒ·14hΒ·
Discuss: Hacker News
🎯Arithmetic Coding Theory
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