Publications

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have substantial practical ...

A theory for multiresolution signal decomposition: the wavelet representation

Multiresolution representations are effective for analyzing the information content of images. The properties of the operator which approximates a signal at a given resolution w...

Self-interaction correction to density-functional approximations for many-electron systems

The exact density functional for the ground-state energy is strictly self-interaction-free (i.e., orbitals demonstrably do not self-interact), but many approximations to it, inc...

BLEU

Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve human labor that can not be reused. We propose a me...

CBAM: Convolutional Block Attention Module

General atomic and molecular electronic structure system

Abstract A description of the ab initio quantum chemistry package GAMESS is presented. Chemical systems containing atoms through radon can be treated with wave functions ranging...

When to use and how to report the results of PLS-SEM

Purpose The purpose of this paper is to provide a comprehensive, yet concise, overview of the considerations and metrics required for partial least squares structural equation m...

Generative Adversarial Nets

PLS-SEM: Indeed a Silver Bullet

Structural equation modeling (SEM) has become a quasi-standard in marketing and management research when it comes to analyzing the cause-effect relations between latent construc...

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Time Series Analysis: Forecasting and Control