pDANSE: Particle-based Data-driven Nonlinear State Estimation from Nonlinear Measurements
arxiv.org·10h
⛰️Gradient Descent
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Enhanced Richardson Extrapolation via Adaptive Kernel Regression and Uncertainty Quantification
dev.to·1h·
Discuss: DEV
📊Empirical Bayes
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Flexible modulation of hybrid feedback loops in competitive biological oscillators
nature.com·15h
📊Differential Expression
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Friedman's Thermostat
wiki.roshangeorge.dev·8h
🔗Markov Chains
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Adaptive Control for a Physics-Informed Model of a Thermal Energy Distribution System: Qualitative Analysis
arxiv.org·10h
⛰️Gradient Descent
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.com·3h
⛰️Gradient Descent
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Advanced FEP Tube Degradation Modeling via Stochastic Process Calibration
dev.to·18h·
Discuss: DEV
📐edgeR
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How to Use Multimodal AI Models With Docker Model Runner
docker.com·2h
🦠Whole cell model
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Real-Time Wave Function Collapse Prediction via Hybrid Bayesian Filtering and Generative Adversarial Networks
dev.to·8h·
Discuss: DEV
🔗Markov Chains
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Functional Analysis of Loss-development Patterns in P&C Insurance
freakonometrics.hypotheses.org·9h
🔥ComplexHeatmap
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Fast, Scalable LDA in C++ with Stochastic Variational Inference
github.com·52m·
Discuss: r/cpp
🔢Embeddings
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Kalman Filter Algorithm: Core Principles, Advantages, Applications, and C Code Implementation
devresourcehub.com·2d·
Discuss: DEV
🔗Markov Chains
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DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks
nature.com·1h
🗂️AnnData
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Novel bidomain partitioned strategies for the simulation of ventricular fibrillation dynamics
arxiv.org·10h
📄FASTQ
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From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers
towardsdatascience.com·1d
🗂️AnnData
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My First Multi-GPU Kernel: Writing All-to-All for AMD MI300X
gau-nernst.github.io·14h·
Discuss: Hacker News
🔲Zarr
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