Nature

Reliable uncertainty estimates in deep learning with efficient Metropolis-Hastings algorithms

Approaching problems with data-driven models often requires reliable uncertainty estimates. Bayesian neural networks can offer these for deep learning models. Without the knowledge to set informative ...
GitHub

Markov Chain Type 4 Rank Aggregation

This project is all about implementing two of the most popular rank aggregation algorithms, Markov Chain Type 4 or MC4 and MCT. In the field of Machine Learning and many other scientific problems, ...
GitHub

Statistical Foundation of Data Science

This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...
C&EN

Enzymatic Synthesis of Amoxicillin in a Batch Reactor: Mathematical Modeling, Sensitivity Analysis, and Experimental Validation

Faculty of Biotechnology, Federal University of Pará, Belém, PA 66075-110, Brazil Laboratory of Neurophysiology Eduardo Oswaldo Cruz, Institute of Biological Science, Federal University of Pará, Belém ...
IEEE

Dynamically identifying regenerative cycles in Simulation-based Optimization Algorithms for Markov chains

Abstract: Simulation-based algorithms for maximizing the average reward of a parameterized Markov chain often rely upon the existence of a state which is recurrent for all choices of parameter values.
www.cs.cmu.edu

Constructing a 1D Markov chain using an approximate background process

In Section 3.5.2, we obtain the generator matrix of an approximate background process , . In this section, we derive the generator matrix of the 1D Markov chain reduced from the FB process by ...
LinkedIn

What are some shortcuts to learning data structures and algorithms in Python?

Learning data structures and algorithms can be challenging, but there are several shortcuts and strategies you can use to make the process more efficient and effective in Python: Remember that ...
Australian Associated Press

Aetina to Enable Next-Generation Industrial Inspection Using NVIDIA Metropolis for Factories

NEW TAIPEI CITY, Taiwan, May 29, 2023 /PRNewswire/ --Aetinahas launched an AI solution specifically designed to enhance productivity in existing automated optical inspection (AOI) systems in ...
C&EN

Modeling the Effect of Cooperativity in Ternary Complex Formation and Targeted Protein Degradation Mediated by Heterobifunctional Degraders

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...
Frontiers

Event-Chain Monte Carlo: Foundations, Applications, and Prospects

This review treats the mathematical and algorithmic foundations of non-reversible Markov chains in the context of event-chain Monte Carlo (ECMC), a continuous-time lifted Markov chain that employs the ...
PNAS

Adaptive Monte Carlo augmented with normalizing flows

Monte Carlo methods, tools for sampling data from probability distributions, are widely used in the physical sciences, applied mathematics, and Bayesian statistics. Nevertheless, there are many ...