How Recursion is leading a new era of AI-driven drug discovery AI drug discovery is not a new phenomenon – but it is evolving at an almost dizzying pace. Recursion is one of the earliest innovators in ...
Abstract: This letter presents a novel method for environmental exploration that takes safety into account in unknown areas by using recursive Gaussian process regression (RGPR). Safety in unknown ...
Abstract: The sparse identification of nonlinear dynamics (SINDy) approach can discover the governing equations of dynamical systems based on measurement data, where the dynamical model is identified ...
This Python package implements semideterministic subspace selection (SDSS) to improve sparse recursive projection-aggregation decoding (SRPA) of Reed-Muller (RM) codes, as proposed in the article ...
This repository contains the official implementation of the paper "[Tensor Gaussian Process: Efficient Solvers for Nonlinear PDEs]" accepted at AISTATS 2026. Python libraries needed for running codes ...