🔢 Scientific Computing - yfff · Scour

Parameter uncertainty in dynamical models: a practical identifiability index

📊Statistics Academic

DAS-PINNs for high-dimensional partial differential equations: extending deep adaptive sampling to spacetime domains

📉Loss Landscapes Academic

Adaptive Resolution for Finite-Rank Gaussian Processes

📡Signal Processing Academic

Tejas-TA/predikit: The missing bridge between your ML models and your AI agents.

✍️Prompt Engineering Code

github.com··Hacker News

Conformal Prediction for Neural Operators: Distribution-Free Uncertainty Quantification in Physics Simulation

🔥PyTorch Academic

PyCC.id: A package for hypothesis-driven equation discovery with structural identifiability

📶Communications Academic

Parameter estimation in generalized fractional neuronal models

🎲Stochastic Processes Academic

OpenAI Whisper in 150 lines of NumPy

🔢SciPy Code

github.com··Hacker News

Optimal Illumination via Joint Movement and Phase Optimization for Movable Antenna-RIS Configuration

📶Communications Academic

A Geometry-Aware Triplane Field Network for Vehicle Aerodynamic Prediction

🌀Riemannian Optimization Academic

Shrivastava-Aditya/boolean-algebra-engine: Deterministic boolean algebra engine — evaluates expressions, detects contradictions, audits logic rules. MCP server, NL layer, REST API, CLI, Streamlit UI.

✍️Prompt Engineering Code

github.com··Hacker News, r/LLM

A Constrained Natural-Language Interface for Variational Multi-Physics Finite Element Simulations in FEniCS

✍️Prompt Engineering Academic

Capturing non-Markovian dynamics in non-equilibrium stochastic systems using flow matching

🎲Stochastic Processes Academic

princezuda/-RequiemGPT-: Fully open source and open weights built and trained by fable five with one prompt. An experience in how AI actually works

🤖AI Code

github.com··Hacker News

Drifting Models for Surrogate Flow Modeling

📐Semidefinite Programming Academic

Operator learning for solving Fokker-Planck equations with various initial conditions

🎲Stochastic Processes Academic

Theory of learning of high-dimensional controlled non-linear dynamical systems (I): models and methods

🧠Machine Learning Academic

Function-Space Priors for Bayesian Neural ODEs with Application to Vessel Trajectory Prediction

📐Estimation Theory Academic

Fourier fractal dimension to predict the generalization of deep neural networks

🧠Machine Learning Academic

Mankirat47/Dao-Heart-v3.14: Dao Heart v3.14 : a bounded symbolic AI value governance research scaffold for studying value drift, oversight, warmth preservation, and identity stability under pressure.

🐙Open Source Code

github.com··Hacker News

Log in to enable infinite scrolling