343 citations · 456 across the 7 of their papers we have counts for
7 papers
Development of Linear Battery Model for Path Planning with Mixed Integer Linear Programming: Simulated and Experimental Validation
Drew Scott, Satyanarayana G. Manyam, David W. Casbeer +3
Mixed Integer Linear Programs (MILPs) are often used in the path planning of both ground and aerial vehicles. Such a formulation of the path planning problem requires a linear obje…
Efficacy of Asynchronous GPS Spoofing Against High Volume Consumer GNSS Receivers
M. Surendra Kumar, Gaurav S. Kasbekar, Arnab Maity
The vulnerability of the Global Positioning System (GPS) against spoofing is known for quite some time. Also, the positioning and navigation of most semi-autonomous and autonomous…
Curriculum Learning for Domain Adaptation in Neural Machine Translation
Xuan Zhang, Pamela Shapiro, Gaurav Kumar +3
We introduce a curriculum learning approach to adapt generic neural machine translation models to a specific domain. Samples are grouped by their similarities to the domain of inte…
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation
Gaurav Kumar, George Foster, Colin Cherry +1
We consider the problem of making efficient use of heterogeneous training data in neural machine translation (NMT). Specifically, given a training dataset with a sentence-level fea…
An Empirical Exploration of Curriculum Learning for Neural Machine Translation
Xuan Zhang, Gaurav Kumar, Huda Khayrallah +6
Machine translation systems based on deep neural networks are expensive to train. Curriculum learning aims to address this issue by choosing the order in which samples are presente…
Using of heterogeneous corpora for training of an ASR system
Jan Trmal, Gaurav Kumar, Vimal Manohar +3
The paper summarizes the development of the LVCSR system built as a part of the Pashto speech-translation system at the SCALE (Summer Camp for Applied Language Exploration) 2015 wo…