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13 papers · ranked by Valyu relevance

01
AarXiv14 Nov 2025
Batch Matrix-form Equations and Implementation of Multilayer Perceptrons
Wieger Wesselink, Bram Grooten, Huub van de Wetering, Qiao Xiao + 1 more
Multilayer perceptrons (MLPs) remain fundamental to modern deep learning, yet their algorithmic details are rarely presented in complete, explicit batch matrix-form. Rather, most references express gradients per sample or rely on automatic differentiation. Although automatic differentiation can achieve equally high…
77relevance
02
PPubMed13 Jul 2023
Design and Analysis of Systematic Batched Network Codes
Licheng Mao, Shenghao Yang, Xuan Huang, Yanyan Dong + 1 more
Systematic codes are of important practical interest for communications. Network coding, however, seems to conflict with systematic codes: although the source node can transmit message packets, network coding at the intermediate network nodes may significantly reduce the number of message packets received by the…
68relevance
03
AarXiv2 Nov 2017
Finite-Length Analysis of BATS Codes
Shenghao Yang, Tsz-Ching Ng, Raymond W. Yeung
BATS codes were proposed for communication through networks with packet loss. A BATS code consists of an outer code and an inner code. The outer code is a matrix generation of a fountain code, which works with the inner code that comprises random linear coding at the intermediate network nodes. In this paper, the…
66relevance
04
BbioRxiv22 Nov 2021
reComBat: Batch effect removal in large-scale, multi-source omics data integration
Michael F. Adamer, Sarah C. Brüningk, Alejandro Tejada-Arranz, Fabienne Estermann + 2 more
With the steadily increasing abundance of omics data produced all over the world, some-times decades apart and under vastly different experimental conditions residing in public databases, a crucial step in many data-driven bioinformatics applications is that of data integration. The challenge of batch effect removal…
66relevance
05
PPubMed22 Feb 2019
Batch adjustment by reference alignment (BARA): Improved prediction performance in biological test sets with batch effects Batch adjustment method improves prediction performance in biological test sets with batch effects
Robin Gradin, Malin Lindstedt, Henrik Johansson, Susanne P. Pfeifer
Many biological data acquisition platforms suffer from inadvertent inclusion of biologically irrelevant variance in analyzed data, collectively termed batch effects. Batch effects can lead to difficulties in downstream analysis by lowering the power to detect biologically interesting differences and can in certain…
64relevance
06
AarXiv2017
Batched QR and SVD Algorithms on GPUs with Applications in Hierarchical Matrix Compression
Wajih Boukaram, George Turkiyyah, Hatem Ltaief, David E. Keyes
We present high performance implementations of the QR and the singular value decomposition of a batch of small matrices hosted on the GPU with applications in the compression of hierarchical matrices. The one-sided Jacobi algorithm is used for its simplicity and inherent parallelism as a building block for the SVD of…
64relevance
07
BbioRxiv19 May 2022
scMoMaT: Mosaic integration of single cell multi-omics matrices using matrix trifactorization
Ziqi Zhang, Haoran Sun, Xinyu Chen, Ragunathan Mariappan + 6 more
Single-cell multi-omics technology is able to measure cells from multiple data modalities. Data integration method aims to integrate cells across data batches and modalities, and learn a comprehensive view of the cells. Data integration can be categorized into horizontal, vertical, diagonal, and mosaic integration…
61relevance
08
PPubMed20 May 2022
Machine Learning-Based Surrogate Model for Press Hardening Process of 22MnB5 Sheet Steel Simulation in Industry 4.0
Albert Abio, Francesc Bonada, Jaume Pujante, Marc Grané + 5 more
The digitalization of manufacturing processes offers great potential in quality control, traceability, and the planning and setup of production. In this regard, process simulation is a well-known technology and a key step in the design of manufacturing processes. However, process simulations are computationally and…
54relevance
09
PPubMed8 Sep 2016
Chrestenson transform FPGA embedded factorizations
Michael J. Corinthios
Chrestenson generalized Walsh transform factorizations for parallel processing imbedded implementations on field programmable gate arrays are presented. This general base transform, sometimes referred to as the Discrete Chrestenson transform, has received special attention in recent years. In fact, the Discrete Fourier…
54relevance
10
CchemRxiv3 Feb 2022
MATRIX EXPONENTIAL SOLUTIONS OF FIRST-ORDER CHEMICAL NETWORKS
harry gray
The matrix exponential method as implemented in MATLAB is demonstrated as a facile tool for solving the time-dependent concentrations of an arbitrary chemically reactive network modelled as a coupled linear system of first-order differential equations. The method is used to verify a 10 species network incorporating…
53relevance
11
BbioRxiv12 Nov 2021
A *de novo* matrix for macroscopic living materials from bacteria
Sara Molinari, Robert F. Tesoriero, Dong Li, Swetha Sridhar + 5 more
Engineered living materials (ELMs) embed living cells in a biopolymer matrix to create novel materials with tailored functions. While bottom-up assembly of macroscopic ELMs with a de novo matrix would offer the greatest control over material properties, we lack the ability to genetically encode a protein matrix that…
52relevance
12
BbioRxiv2 Feb 2026
Machine Learning Guided Optimization of an Oral Microemulsion System: A Bayesian Optimization Approach
Madeline Gunawardena, Bao Chau, Hayden Nothacker, Rudra Pangeni + 3 more
Oral microemulsions are one drug delivery system often implemented to improve intestinal permeability and oral bioavailability of poorly-water soluble drugs. They also present several practical advantages including high patient compliance and simplified manufacturing methods which contribute to their promise as…
51relevance
13
PPubMed5 Jun 1991
Taguchi’s Orthogonal Arrays Are Classical Designs of Experiments
Raghu N. Kacker, Eric S. Lagergren, James J. Filliben
Taguchi’s catalog of orthogonal arrays is based on the mathematical theory of factorial designs and difference sets developed by R. C. Bose and his associates. These arrays evolved as extensions of factorial designs and latin squares. This paper (1) describes the structure and constructions of Taguchi’s orthogonal…
51relevance

Results for batch matrix form

Batch Matrix-form Equations and Implementation of Multilayer Perceptrons

Design and Analysis of Systematic Batched Network Codes

Finite-Length Analysis of BATS Codes

reComBat: Batch effect removal in large-scale, multi-source omics data integration

Batch adjustment by reference alignment (BARA): Improved prediction performance in biological test sets with batch effects Batch adjustment method improves prediction performance in biological test sets with batch effects

Batched QR and SVD Algorithms on GPUs with Applications in Hierarchical Matrix Compression

scMoMaT: Mosaic integration of single cell multi-omics matrices using matrix trifactorization

Machine Learning-Based Surrogate Model for Press Hardening Process of 22MnB5 Sheet Steel Simulation in Industry 4.0

Chrestenson transform FPGA embedded factorizations

MATRIX EXPONENTIAL SOLUTIONS OF FIRST-ORDER CHEMICAL NETWORKS

A de novo matrix for macroscopic living materials from bacteria

Machine Learning Guided Optimization of an Oral Microemulsion System: A Bayesian Optimization Approach

Taguchi’s Orthogonal Arrays Are Classical Designs of Experiments

Batch Matrix-form Equations and Implementation of Multilayer Perceptrons

Design and Analysis of Systematic Batched Network Codes

Finite-Length Analysis of BATS Codes

reComBat: Batch effect removal in large-scale, multi-source omics data integration

Batch adjustment by reference alignment (BARA): Improved prediction performance in biological test sets with batch effects Batch adjustment method improves prediction performance in biological test sets with batch effects

Batched QR and SVD Algorithms on GPUs with Applications in Hierarchical Matrix Compression

scMoMaT: Mosaic integration of single cell multi-omics matrices using matrix trifactorization

Machine Learning-Based Surrogate Model for Press Hardening Process of 22MnB5 Sheet Steel Simulation in Industry 4.0

Chrestenson transform FPGA embedded factorizations

MATRIX EXPONENTIAL SOLUTIONS OF FIRST-ORDER CHEMICAL NETWORKS

A de novo matrix for macroscopic living materials from bacteria

Machine Learning Guided Optimization of an Oral Microemulsion System: A Bayesian Optimization Approach

Taguchi’s Orthogonal Arrays Are Classical Designs of Experiments

Results for batch matrix form

Batch Matrix-form Equations and Implementation of Multilayer Perceptrons

Design and Analysis of Systematic Batched Network Codes

Finite-Length Analysis of BATS Codes

reComBat: Batch effect removal in large-scale, multi-source omics data integration

Batch adjustment by reference alignment (BARA): Improved prediction performance in biological test sets with batch effects Batch adjustment method improves prediction performance in biological test sets with batch effects

Batched QR and SVD Algorithms on GPUs with Applications in Hierarchical Matrix Compression

scMoMaT: Mosaic integration of single cell multi-omics matrices using matrix trifactorization

Machine Learning-Based Surrogate Model for Press Hardening Process of 22MnB5 Sheet Steel Simulation in Industry 4.0

Chrestenson transform FPGA embedded factorizations

MATRIX EXPONENTIAL SOLUTIONS OF FIRST-ORDER CHEMICAL NETWORKS

A *de novo* matrix for macroscopic living materials from bacteria

Machine Learning Guided Optimization of an Oral Microemulsion System: A Bayesian Optimization Approach

Taguchi’s Orthogonal Arrays Are Classical Designs of Experiments

Batch Matrix-form Equations and Implementation of Multilayer Perceptrons

Design and Analysis of Systematic Batched Network Codes

Finite-Length Analysis of BATS Codes

reComBat: Batch effect removal in large-scale, multi-source omics data integration

Batch adjustment by reference alignment (BARA): Improved prediction performance in biological test sets with batch effects Batch adjustment method improves prediction performance in biological test sets with batch effects

Batched QR and SVD Algorithms on GPUs with Applications in Hierarchical Matrix Compression

scMoMaT: Mosaic integration of single cell multi-omics matrices using matrix trifactorization

Machine Learning-Based Surrogate Model for Press Hardening Process of 22MnB5 Sheet Steel Simulation in Industry 4.0

Chrestenson transform FPGA embedded factorizations

MATRIX EXPONENTIAL SOLUTIONS OF FIRST-ORDER CHEMICAL NETWORKS

A *de novo* matrix for macroscopic living materials from bacteria

Machine Learning Guided Optimization of an Oral Microemulsion System: A Bayesian Optimization Approach

Taguchi’s Orthogonal Arrays Are Classical Designs of Experiments

A de novo matrix for macroscopic living materials from bacteria

A de novo matrix for macroscopic living materials from bacteria