🔗 Markov Chains - pfh · Scour

Dynamical aspects of steady-state subradiance: Detailed balance and its breakdown 📦Compartmental Models

Efficient sequential Bayesian inference for state-space epidemic models using ensemble data assimilation 📊Empirical Bayes

journals.plos.org·2d

Viterbi algorithm 📊Empirical Bayes

en.wikipedia.org·2h

Implications Of Predicting The Next Token ⛰️Gradient Descent

lesswrong.com·1d

TrustPoint secures USSF contract to demonstrate GPS-independent PNT 📄FASTQ

gpsworld.com·7h

matthewworner/spike: Spike is a weight block pager for large language models. 🔲Zarr

github.com·6d·Hacker News

State Space Models, Explained Through Code ⛰️Gradient Descent

karthik-ragunath-ananda-kumar-blogs.notion.site·1d·Hacker News

Global cell-state and gene-program representations reveal conserved and context-specific perturbation responses of cells 🗺️UMAP

biorxiv.org·1d

Verifying Consensus Protocols from LLM-assisted TLA$^+$: A Case Study of Byzantine Reliable Broadcast 📄FASTQ

eprint.iacr.org·3d

Less-relevant results

Inferring stochastic dynamics by biophysical Neural ODE using single-cell transcriptomics 🔬Single-cell RNA-Seq

Old worms, new tricks: dynamical instability explains late-life rejuvenation in C. elegans (preprint may 26) 🔥ComplexHeatmap

rapamycin.news·6d

Deep thermalization for mixed states 🗺️Manifold Learning

link.aps.org·2d

T cell exhaustion landscapes and therapeutic modulation in cancer immunity 📊Differential Expression

frontiersin.org·6d

Multi-state model with temporal-consistent survival analysis for homogeneous Markov chains 📊Empirical Bayes

2D map of 26,741M/CV papers from CVPR, NeurIPS, ICML, ICLR (2024–2025) 🗺️UMAP

matejgazda.com·6d·Hacker News

Positive-rate PCA and IPS with stationary Bernoulli measures are rapidly forgetful 🗺️UMAP

C-Naoki/AdaKoop: [KDD2026] AdaKoop: Efficient Modeling of Nonlinear Dynamics from Nonstationary Data Streams with Koopman Operator Regression (to appear). ⛰️Gradient Descent

github.com·1d·Hacker News

DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes ⛰️Gradient Descent

On Gaussian approximation for entropy-regularized Q-learning with function approximation ⛰️Gradient Descent

meleantonio forked meleantonio/Deep_Learning_for_Solving_And_Estimating_Dynamic_Economic_Models from sischei/Deep_Learning_for_Solving_And_Estimating_Dynamic_Ec... ⛰️Gradient Descent

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