Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

Abstract: We consider a nonlinear discrete stochastic control system, and our goal is to design afeedback control policy in order to lead the system to a prespecified state. We adopt a Stochastic ...

Abstract: Stochastic optimization aims to minimize the loss functions with noisy function and/or gradient measurements only. Depending on the types of the underlying variables, optimization problems ...

Stochastic oscillator measures stock momentum, aiding buy or sell decisions. It ranges 0-100; over 80 suggests overbought, below 20 indicates oversold. Use alongside other indicators to enhance ...

Deep generative models, including diffusion and flow matching, have shown outstanding performance in synthesizing realistic multi-modal content across images, audio, video, and text. However, the ...

A new technical paper titled “All-in-Memory Stochastic Computing using ReRAM” was published by researchers at TU Dresden, Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), ...

Like a feather in the wind or the global stock market, all of us are subject to stochastic drift. Originating in advanced statistics, the term refers to the way in which randomness works upon a system ...

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. Once a well-suited model is established, it can be thoroughly ...

This repository provides the experimental code for work "Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule by M. Periyasamy et. al.". However, this ...

ABSTRACT: Proximal gradient descent and its accelerated version are resultful methods for solving the sum of smooth and non-smooth problems. When the smooth function can be represented as a sum of ...