UMBC Student Collection
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Learning to Understand Non-Categorical Physical Language for Human Robot Interactions
Learning the meaning of language with respect to the physical world in which a robot operates is a necessary step for shared autonomy systems in which natural language is part of a user-specific, customizable interface. ... -
A Manifold Alignment Approach to Grounded Language Learning
As robots become advanced and affordable enough to have in our daily lives, the next question is: How do we make using these machines as intuitive as possible? Language offers an approachable and relatively accessible ... -
Planning with Abstract Learned Models While Learning Transferable Subtasks
(AAAI, 2020-03-04)We introduce an algorithm for model-based hierarchical reinforcement learning to acquire self-contained transition and reward models suitable for probabilistic planning at multiple levels of abstraction. We call this ... -
Gnrh2 maintains reproduction in fasting zebrafish through dynamic neuronal projection changes and regulation of gonadotropin synthesis, oogenesis, and reproductive behaviors
(Springer Nature, 2021-03-23)Restricted food intake, either from lack of food sources or endogenous fasting, during reproductive periods is a widespread phenomenon across the animal kingdom. Considering previous studies show the canonical upstream ... -
Effects of Infectious Diseases on Population Dynamics of Marine Organisms in Chesapeake Bay
(Springer Nature, 2021-03-24)Diseases are important drivers of population and ecosystem dynamics. This review synthesizes the effects of infectious diseases on the population dynamics of nine species of marine organisms in the Chesapeake Bay. Diseases ... -
Convolutional LSTM for Planetary Boundary Layer Height (PBLH) Prediction
(AAAI, 2021-03-22)We describe new work that uses deep learning to learn temporal changes in Planetary Boundary Layer Height (PBLH). This work is performed in conjunction with a deep edge detection method that identifies edges in imagery ... -
LSTMs for Inferring Planetary Boundary Layer Height (PBLH)
(AAAI, 2021-03-22)In this paper, we describe new work which is part of a larger study to understand how machine learning could be used to augment existing methods for calculating and estimating the Planetary Boundary Layer Height (PBLH). ... -
On Finer Control of Information Flow in LSTMs
(Springer Nature, 2019-01-18)Since its inception in 1995, the Long Short-Term Memory (LSTM) architecture for recurrent neural networks has shown promising performance, sometimes state-of-art, for various tasks. Aiming at achieving constant error flow ... -
Image segmentation for dust detection using unsupervised machine learning CyberTraining 2020: Big Data + High-Performance Computing + Atmospheric Sciences
(UMBC HPCF, 2020)Dust and sandstorms originating from Earth’s major arid and semi-arid desert areas can significantly affect the climate system and health. Many existing methods use heuristic rules to classify on a pixel-level regarding ... -
Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences
(UMBC HPCF, 2020)The Arctic sea ice has retreated rapidly in the past few decades, which is believed to be driven by various dynamic and thermodynamic processes in the atmosphere. The newly open water resulted from sea ice decline in ... -
Machine Learning for Retrieving Cloud Optical Thickness from Observed Reflectance: 3D Effects CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences
(UMBC HPCF, 2020)Clouds are inherently three dimensional (3D), and simulating radiative transfer (RT) properties accurately requires models that take their 3D effects into account. Because 3D models are complex and computationally expensive, ... -
Evaluation of Tropical Cloud Simulations between CMIP6 Models and Satellite Observations CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences
(UMBC HPCF, 2020)In this project, we look at the Global Climate Models (GCM) of CMIP6 (6th generation of Coupled Model Intercomparison Project). We analyze the cloud parameterizations of three CMIP6 models, namely, NASA-GISS-E2.1-G, ... -
Studying Anomalous Discrepancies between MODIS and CALIOP Cloud Observations CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences
(UMBC HPCF, 2020)When examining collocated data from the A-Train satellite constellation, there are a notable number of clouds that CALIOP identifies as transparent but MODIS paradoxically reports as having a high cloud optical thickness ... -
Destructive Controlled-Phase Gate Using Linear Optics
(2021-03-05)Knill, Laflamme, and Milburn [Nature 409, 46 (2001)] showed that linear optics techniques could be used to implement a nonlinear sign gate. They also showed that two of their nonlinear sign gates could be combined to ... -
Learning Assisted Side Channel Delay Test for Detection of Recycled ICs
(2020-10-23)With the outsourcing of design flow, ensuring the security and trustworthiness of integrated circuits has become more challenging. Among the security threats, IC counterfeiting and recycled ICs have received a lot of ... -
State and parameter estimation from exact partial state observation in stochastic reaction networks
(2020-12-09)We consider chemical reaction networks modeled by a discrete state and continuous in time Markov process for the vector copy number of the species and provide a novel particle filter method for state and parameter estimation ... -
Diverse populations of intrinsic cholinergic interneurons in the mouse olfactory bulb
(Elsevier, 2012-06-28)Cholinergic activities affect olfactory bulb (OB) information processing and associated learning and memory. However, the presence of intrinsic cholinergic interneurons in the OB remains controversial. As a result, ... -
Expression profile of G-protein βγ subunit gene transcripts in the mouse olfactory sensory epithelia
(Frontiers Media, 2013-06-04)Heterotrimeric G-proteins mediate a variety of cellular functions, including signal transduction in sensory neurons of the olfactory system. Whereas the Gα subunits in these neurons are well characterized, the gene transcript ...
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