Articles

A Fixed-Point of View on Gradient Methods for Big Data

in Mathematics of Computation and Data Science

• Alexander Jung

Streaming Batch Eigenupdates for Hardware Neural Networks

in Neuromorphic Engineering

• Brian D. Hoskins
• Matthew W. Daniels
• Siyuan Huang
• Advait Madhavan
• Gina C. Adam
• Nikolai Zhitenev
• Jabez J. McClelland
• Mark D. Stiles

Smart Placement, Faster Robots – A Comparison of Algorithms for Robot Base-Pose Optimization

in Industrial Robotics and Automation

• Matthias Mayer
• Matthias Althoff

Efficient Ensemble-Based Stochastic Gradient Methods for Optimization Under Geological Uncertainty

in Hydrosphere

• Hoonyoung Jeong
• Alexander Y. Sun
• Jonghyeon Jeon
• Baehyun Min
• Daein Jeong

Globally ncRNAs Expression Profiling of TNBC and Screening of Functional lncRNA

in Computational Genomics

• Aman Chandra Kaushik
• Aamir Mehmood
• Xiangeng Wang
• Dong-Qing Wei
• Xiaofeng Dai

A unifying theory of synaptic long-term plasticity based on a sparse distribution of synaptic strength

• Daniel Krieg
• Jochen Triesch

Neural network learning using non-ideal resistive memory devices

in Nanoelectronics

• Youngseok Kim
• Tayfun Gokmen
• Hiroyuki Miyazoe
• Paul Solomon
• Seyoung Kim
• Asit Ray
• Jonas Doevenspeck
• Raihan S. Khan
• Vijay Narayanan
• Takashi Ando

A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth

in Medicine and Public Health

• Helena Coggan
• Helena Andres Terre
• Pietro Liò

Pseudo-188D: Phage Protein Prediction Based on a Model of Pseudo-188D

in Computational Genomics

• Xiaomei Gu
• Lina Guo
• Bo Liao
• Qinghua Jiang

Semi-Stochastic Gradient Descent Methods

in Optimization

• Jakub Konečný
• Peter Richtárik

d-Dimensional KPZ Equation as a Stochastic Gradient Flow in an Evolving Landscape: Interpretation and Time Evolution of Its Generating Functional

in Statistical and Computational Physics

• Horacio S. Wio
• Miguel A. Rodríguez
• Rafael Gallego
• Jorge A. Revelli
• Alejandro Alés
• Roberto R. Deza

On Consensus-Optimality Trade-offs in Collaborative Deep Learning

in Machine Learning and Artificial Intelligence

• Zhanhong Jiang
• Aditya Balu
• Chinmay Hegde
• Soumik Sarkar

Federated learning-based multimodal approach for early detection and personalized care in cardiac disease

in Computational Physiology and Medicine

• Sultan Alasmari
• Rayed AlGhamdi
• Ghanshyam G. Tejani
• Sunil Kumar Sharma
• Seyed Jalaleddin Mousavirad

Deep Learning Enables Accurate Prediction of Interplay Between lncRNA and Disease

in Computational Genomics

• Jialu Hu
• Yiqun Gao
• Jing Li
• Xuequn Shang

Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks

in Neuromorphic Engineering

• Jason M. Allred
• Kaushik Roy

Uncertainty quantified discovery of chemical reaction systems via Bayesian scientific machine learning

in Translational Systems Biology and In Silico Trials

• Emily Nieves
• Raj Dandekar
• Chris Rackauckas