🎰 Monte Carlo Simulation - kqr · Scour

Efficient Bayesian inference for ordinary differential equation models from experimental data with uncertain measurement times ⛓️MCMC

biorxiv.org·6d

Less-relevant results

The impact of occupational burnout on teaching competence of teachers in Chinese higher vocational colleges: the mediating role of self-efficacy and psychological capital 🔗Systems Thinking

frontiersin.org·20h

Variational Autoregressive Networks with probability priors ⛓️MCMC

Building a Safety-First RAG Triage Agent in Python 🤖Scikit-learn

github.com·11h·DEV

≃ Calvin's Notebook 💳personal finance

calwoo.github.io·6d

Safe Deep Reinforcement Learning for Spacecraft Reorientation with Pointing Keep-Out Constraint 🧭Inertial Navigation

ML-based Fast Simulation of FARICH Responses 🤖Scikit-learn

Eric Jang – Building AlphaGo from scratch 🚫Branch-Free Programming

dwarkesh.com·5d·Hacker News

Time series benchmarks are broken 📉Time Series Analysis

magnusross.github.io·1d

Does Your Project Need an LLM, Machine Learning or Statistics? 🤖Scikit-learn

builtin.com·7h

nialljmiller/SED_Model: SED_Model is a bi-directional SED engine. Teff, Logg, Fe/H, R, d -> SED --- OR --- SED -> posterior(Teff, logg, Fe/H, R, d, Av) ⛓️MCMC

github.com·6d·Hacker News

Survey Statistics: GREG ⛓️MCMC

statmodeling.stat.columbia.edu·1d

A Family of Divergence Measures for Evaluating the Reconstruction Quality of Explainable Ensemble Trees 🤖Scikit-learn

We asked US researchers how the Trump administration's science policies have affected them 🔗Systems Thinking

Chemo-mechanical coupling stabilizes mixed $\mathrm{Ag}_{x}\mathrm{Cu}_{1-x}\mathrm{GaSe}_{2}$ solar-cell absorbers: Insights from Monte-Carlo simulations assisted by ab initio informed machine-learning potentials ⛓️MCMC

Vevo names DISQO its preferred brand outcomes measurement partner 📐Gini Coefficient

The safe-to-dangerous shift is a fundamental problem for eval realism; but also for measuring awareness 🐛Fuzzing

lesswrong.com·6d

ColPackAgent: Agent-Skill-Guided Hard-Particle Monte Carlo Workflows for Colloidal Packing ⛓️MCMC

Confluent Current London 2026 - AI requires a data re-think 🔵Blue-Green Deployment

diginomica.com·9h

AI #168: Not Leading the Future 🐛Fuzz Testing

thezvi.substack.com·6d·Substack

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