📈 Time Series

Temporal Data, Compression Algorithms, Forecasting, Storage Optimization

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TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data
arxiv.org·4d
⏳Temporal Databases
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The Data Marketing Machine
storagemath.com·11h·
Discuss: Hacker News
🏺ZIP Archaeology
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EDA in Public (Part 1): Cleaning and Exploring Sales Data with Pandas
towardsdatascience.com·23h
🧬PostgreSQL Forensics
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3 Subtle Ways Data Leakage Can Ruin Your Models (and How to Prevent It)
machinelearningmastery.com·3d
🧠Intelligence Compression
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Regression Is All You Need
blog.tilderesearch.com·1d·
Discuss: Hacker News
🧠Machine Learning
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How Harmonic Security improved their data-leakage detection system with low-latency fine-tuned models using Amazon SageMaker, Amazon Bedrock, and Amazon Nova Pr...
aws.amazon.com·1d
👁️Observatory Systems
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Friday 16 January 2026 - 11am
informatics.ed.ac.uk·2d
🗣️CMU Pronouncing
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Surviving the RAM Squeeze: Efficiency Tips for JavaScript Developers
blog.codeminer42.com·1d
🧠Memory Allocators
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ChronusOmni: Improving Time Awareness of Omni Large Language Models
arxiv.org·2d
⏱️Interval Parsing
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From Alternation to FPRAS: Toward a Complexity Classification of Approximate Counting
arxiv.org·1d
🎯Performance Proofs
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Space and Time Tests Real-World Blockchain with 30,000 Students: 130M Transactions Later, What Chang
hackernoon.com·2d
🔗Hash Chains
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Show HN: Crystal V10 – Grepping 65GB of compressed logs in 0.8s vs. 8 minutes
news.ycombinator.com·2d·
Discuss: Hacker News
⚙️Compression Benchmarking
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Evaluating the Sensitivity of BiLSTM Forecasting Models to Sequence Length and Input Noise
arxiv.org·4d
🧮Kolmogorov Bounds
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AUP: when Accuracy Meets Parallelism in Diffusion Language Models
hao-ai-lab.github.io·2d
🌊Streaming Algorithms
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Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models
arxiv.org·2d
⚙️Compression Benchmarking
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Generative Modeling from Black-box Corruptions via Self-Consistent Stochastic Interpolants
arxiv.org·1d
🧠Machine Learning
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**Breaking the Synchrony Barrier: Asynchronous Distributed T
dev.to·1d·
Discuss: DEV
🔲Cellular Automata
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Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit
arxiv.org·1d
📝Text Embeddings
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Spectral Community Detection in Clinical Knowledge Graphs
towardsdatascience.com·1d
🕸️Neo4j
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Predicting the Containment Time of California Wildfires Using Machine Learning
arxiv.org·2d
🧠Machine Learning
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