Performers: The Kernel Trick, Random Fourier Features, and Attention | Teddy Koker
arXiv:2110.08059v3 [cs.CV] 17 Mar 2022
Remote Sensing | Free Full-Text | Inverse Synthetic Aperture LiDAR Imaging of Rough Targets under Small Rotation Angles
Neural Field Models: A mathematical overview and unifying framework
Modeling Electronic Response Properties with an Explicit-Electron Machine Learning Potential | Journal of Chemical Theory and Computation
Flexible Dual-Branched Message-Passing Neural Network for a Molecular Property Prediction | ACS Omega
Fully First-Principles Surface Spectroscopy with Machine Learning | The Journal of Physical Chemistry Letters
Extracting dynamical understanding from neural-mass models of mouse cortex | bioRxiv
Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments | Journal of Chemical Theory and Computation
Regularized by Physics: Graph Neural Network Parametrized Potentials for the Description of Intermolecular Interactions | Journal of Chemical Theory and Computation
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials | Journal of Chemical Theory and Computation
Micromachines | Free Full-Text | A Method of Water COD Retrieval Based on 1D CNN and 2D Gabor Transform for Absorption–Fluorescence Spectra
Open-Source Machine Learning in Computational Chemistry | Journal of Chemical Information and Modeling
A new three-dimensional elastography using phase based shifted Fourier transform - ScienceDirect
IJGI | Free Full-Text | Road Extraction from VHR Remote-Sensing Imagery via Object Segmentation Constrained by Gabor Features
Short-time Fourier transform representations of the averaged torsional... | Download Scientific Diagram
Analysis of convolutional neural networks reveals the computational properties essential for subcortical processing of facial expression | Scientific Reports
Regularized by Physics: Graph Neural Network Parametrized Potentials for the Description of Intermolecular Interactions | Journal of Chemical Theory and Computation
Fourier Feature - an overview | ScienceDirect Topics
Physics-Inspired Equivariant Descriptors of Nonbonded Interactions | The Journal of Physical Chemistry Letters
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials
Ab Initio Static Exchange–Correlation Kernel across Jacob's Ladder without Functional Derivatives | Journal of Chemical Theory and Computation
Frontiers | Machine Learning Based Classification of Resting-State fMRI Features Exemplified by Metabolic State (Hunger/Satiety)
Emergent Orientation Selectivity from Random Networks in Mouse Visual Cortex - ScienceDirect
Neural Field Models: A mathematical overview and unifying framework
Naoki's Scientific Contributions
