Frontiers in Applied Mathematics and Statistics

Original Research

Published on 01 Oct 2021

How Does the Fusion of Sensory Information From Audition and Vision Impact Collective Behavior?

Subhradeep Roy
Jeremy Lemus

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.758711

3,829 views
6 citations

Original Research

Published on 01 Oct 2021

Cascades of Periodic Solutions in a Neural Circuit With Delays and Slow-Fast Dynamics

Andrea Ferrario
James Rankin

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.716288

4,246 views
1 citation

Hypothesis and Theory

Published on 24 Sep 2021

Cortex-Like Complex Systems: What Occurs Within?

Peter Grindrod
Christopher Lester

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.627236

3,814 views
8 citations

Original Research

Published on 07 Sep 2021

A Block-Sparse Tensor Train Format for Sample-Efficient High-Dimensional Polynomial Regression

Michael Götte
Reinhold Schneider
Philipp Trunschke

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.702486

5,307 views
4 citations

Original Research

Published on 06 Sep 2021

Physics-Aware Deep-Learning-Based Proxy Reservoir Simulation Model Equipped With State and Well Output Prediction

Emilio Jose Rocha Coutinho
Marcelo Dall’Aqua
Eduardo Gildin

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.651178

7,964 views
32 citations

Editorial

Published on 03 Sep 2021

Editorial: Data Science Applications to Inverse and Optimization Problems in Earth Science

Olwijn Leeuwenburgh
Alexandre A. Emerick
Behnam Jafarpour
Dongxiao Zhang
Xiaodong Luo

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.756949

3,653 views
1 citation

Original Research

Published on 02 Sep 2021

Intensity Estimation for Poisson Process With Compositional Noise

Glenna Schluck
Wei Wu
Anuj Srivastava

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.648984

7,140 views
2 citations

Original Research

Published on 30 Aug 2021

A Function Approximation Approach to the Prediction of Blood Glucose Levels

H. N. Mhaskar
S. V. Pereverzyev
M. D. van der Walt

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.707884

5,058 views
3 citations

Methods

Published on 26 Aug 2021

AVA: A Financial Service Chatbot Based on Deep Bidirectional Transformers

Shi Yu
Yuxin Chen
Hussain Zaidi

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.604842

27,035 views
37 citations

Original Research

Published on 24 Aug 2021

An Optical Flow Based Left-Invariant Metric for Natural Gradient Descent in Affine Image Registration

Daniel Jacob Tward

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.718607

3,214 views
23 citations

Opinion

Published on 10 Aug 2021

Information Theory and Consciousness

Jürgen Jost

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.641239

12,108 views
5 citations

Editorial

Published on 09 Aug 2021

Editorial: Analytical and Numerical Methods for Differential Equations and Applications

Jesus Martin-Vaquero
Bruce Wade
Juan L. García Guirao
Feliz Minhós

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.712813

2,840 views
1 citation

Original Research

Published on 06 Aug 2021

Entanglement-Based Feature Extraction by Tensor Network Machine Learning

Yuhan Liu
Wen-Jun Li
Xiao Zhang
Maciej Lewenstein
Gang Su
Shi-Ju Ran

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.716044

9,797 views
27 citations

Editorial

Published on 04 Aug 2021

Editorial: Mathematical Models for Intertemporal Choice

Salvador Cruz Rambaud

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.743337

2,532 views

Original Research

Published on 02 Aug 2021

Deep Reinforcement Learning for Constrained Field Development Optimization in Subsurface Two-phase Flow

Yusuf Nasir
Jincong He
Chaoshun Hu
Shusei Tanaka
Kainan Wang
XianHuan Wen

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.689934

7,056 views
31 citations

Brief Research Report

Published on 02 Aug 2021

Using Machine Learning to Analyze Merger Activity

Tiffany Jiang

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.649501

11,071 views
9 citations

Original Research

Published on 29 Jul 2021

Entrainment Dynamics Organised by Global Manifolds in a Circadian Pacemaker Model

Jennifer L. Creaser
Casey O. Diekman
Kyle C. A. Wedgwood

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.703359

4,653 views
11 citations

Original Research

Published on 21 Jul 2021

Ensemble Transform Kalman Incremental Smoother and Its Application to Data Assimilation and Prediction

Zhe-Hui Lin
Shu-Chih Yang
Eugenia Kalnay

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.687743

3,867 views

Original Research

Published on 16 Jul 2021

New Developments in Sparse PLS Regression

Jérémy Magnanensi
Myriam Maumy-Bertrand
Nicolas Meyer
Frédéric Bertrand

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.693126

6,165 views
2 citations

Original Research

Published on 15 Jul 2021

Coherence Resonance in Random Erdös-Rényi Neural Networks: Mean-Field Theory

A. Hutt
T. Wahl
N. Voges
Jo Hausmann
J. Lefebvre

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.697904

5,338 views
7 citations

Original Research

Published on 15 Jul 2021

Synchronization in Networks With Heterogeneous Adaptation Rules and Applications to Distance-Dependent Synaptic Plasticity

Rico Berner
Serhiy Yanchuk

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.714978

4,773 views
15 citations

Original Research

Published on 15 Jul 2021

Oscillatory Biomedical Signals: Frontiers in Mathematical Models and Statistical Analysis

Hau-Tieng Wu
Tze Leung Lai
Gabriel G. Haddad
Alysson Muotri

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.689991

5,264 views
2 citations

Original Research

Published on 12 Jul 2021

Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems

Su Jiang
Mun-Hong Hui
Louis J. Durlofsky

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.686754

4,690 views
14 citations

Original Research

Published on 09 Jul 2021

Supervised Learning Using Homology Stable Rank Kernels

Jens Agerberg
Ryan Ramanujam
Martina Scolamiero
Wojciech Chachólski

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.668046

5,867 views
4 citations

908 Publications

volumes

Volume 7 - 2021

How Does the Fusion of Sensory Information From Audition and Vision Impact Collective Behavior?

Cascades of Periodic Solutions in a Neural Circuit With Delays and Slow-Fast Dynamics

Cortex-Like Complex Systems: What Occurs Within?

A Block-Sparse Tensor Train Format for Sample-Efficient High-Dimensional Polynomial Regression

Physics-Aware Deep-Learning-Based Proxy Reservoir Simulation Model Equipped With State and Well Output Prediction

Editorial: Data Science Applications to Inverse and Optimization Problems in Earth Science

Intensity Estimation for Poisson Process With Compositional Noise

A Function Approximation Approach to the Prediction of Blood Glucose Levels

AVA: A Financial Service Chatbot Based on Deep Bidirectional Transformers

An Optical Flow Based Left-Invariant Metric for Natural Gradient Descent in Affine Image Registration

Information Theory and Consciousness

Editorial: Analytical and Numerical Methods for Differential Equations and Applications

Entanglement-Based Feature Extraction by Tensor Network Machine Learning

Editorial: Mathematical Models for Intertemporal Choice

Deep Reinforcement Learning for Constrained Field Development Optimization in Subsurface Two-phase Flow

Using Machine Learning to Analyze Merger Activity

Entrainment Dynamics Organised by Global Manifolds in a Circadian Pacemaker Model

Ensemble Transform Kalman Incremental Smoother and Its Application to Data Assimilation and Prediction

New Developments in Sparse PLS Regression

Coherence Resonance in Random Erdös-Rényi Neural Networks: Mean-Field Theory

Synchronization in Networks With Heterogeneous Adaptation Rules and Applications to Distance-Dependent Synaptic Plasticity

Oscillatory Biomedical Signals: Frontiers in Mathematical Models and Statistical Analysis

Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems

Supervised Learning Using Homology Stable Rank Kernels