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Deep Science Agile Initiative

Publications

2019

A Topological Approach for Motion Track Discrimination
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Deep Learning for Semantic Segmentation of Defects in Advanced STEM Images of Steels
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LP-BNN: Ultra-Low-Latency BNN Inference with Layer Parallelism
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Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems
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Koopman Representations of Dynamic Systems with Control
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Learning Koopman Operators for Systems with Isolated Critical Points
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A Linear-time Algorithm and Analysis of Graph Relative Hausdorff Distance
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Relative Hausdorff Distance for Network Analysis
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Hypernetwork Science via High-Order Hypergraph Walks
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A Comparative Study of Physics-informed Neural Network Models for Learning Unknown Dynamics and Constitutive Relations
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A Scalable Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Weight and Workload Balancing
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Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber
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A Machine Learning Approach to Thermal Conductivity Modeling: A Case Study on Irradiated Uranium-molybdenum Nuclear Fuels
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Vulnerable to Misinformation? Verifi!
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Towards Rapid Interactive Machine Learning: Evaluating Tradeoffs of Classification without Representation
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Explaining Multimodal Deceptive News Prediction Models
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Evaluation and Validation Approaches for Simulation of Social Behavior: Challenges and Opportunities
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Characterizing Speed and Scale of Cryptocurrency Discussion Spread on Reddit
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O3BNN: An Out-Of-Order Architecture for High-Performance Binarized Neural Network Inference with Fine-Grained Pruning
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Coordination of Behind-the-Meter Energy Storage and Building Loads: Optimization with Deep Learning Models
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Deep Learning to Generate in silico Chemical Property Libraries and Candidate Molecules for Small Molecule Identification in Complex Samples
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2018

Improving Underwater Localization Accuracy with Machine Learning
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A Review of Fault Detection and Diagnostics Methods for Building Systems
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An Open-Source Tool for Automated Power Grid Stress Level Prediction at Balancing Authorities
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Discovering Significant Co-Occurrences to Characterize Network Behaviors
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Improving Automation Transparency: Addressing Some of Machine Learning's Unique Challenges
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Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources
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A Learning Framework for Control-Oriented Modeling of Buildings
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Evaluation of Regression and Neural Network Models for Solar Forecasting over Different Short-term Horizons
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Scaling Deep Learning Workloads: NVIDIA DGX-1 / Pascal and Intel Knights Landing
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Narrowing Frequency Probability Density Function for Achieving Minimized Uncertainties in Power Systems Operation - a Stochastic Distribution Control Perspective
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A Cloud-Based Decision Support System Framework for Hydropower Biological Evaluation
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How Humans versus Bots React to Deceptive and Trusted News Sources: A Case Study of Active Users
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Evaluating On-Node GPU Interconnects for Deep Learning Workloads
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Machine Learning of Factors Influencing Damping and Frequency of Dominant Inter-area Modes in the WECC Interconnect
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Online Anomaly Detection Using Machine Learning and HPC for Power System Synchrophasor Measurements
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Can You Verifi This? Studying Uncertainty and Decision-Making About Misinformation using Visual Analytics
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Understanding Scale-dependent Soft-error Behavior of Scientific Applications
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IL-Net: Using Expert Knowledge to Guide the Design of Furcated Neural Networks
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Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows
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SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
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Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection
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Multiple Document Representations from News Alerts for Automated Bio-surveillance Event Detection
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Misleading or Falsification? Inferring Deceptive Strategies and Types in Online News and Social Media
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Propagation from Deceptive News Sources Who Shares, How Much, How Evenly, and How Quickly?
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RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian
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Virtual Battery Parameter Identification using Transfer Learning based Stacked Autoencoder
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Helping IT and OT Defenders Collaborate
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Adaptive Power System Emergency Control using Deep Reinforcement Learning
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Multiple-objective Reinforcement Learning for Inverse Design and Identification
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Explanatory Masks for Neural Network Interpretability
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Few-Shot Learning with Metric-Agnostic Conditional Embeddings
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Enforcing Constraints for Interpolation and Extrapolation in Generative Adversarial Networks
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Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers
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Proteomics of Natural Bacterial Isolates Powered by Deep Learning Based de Novo Identification
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Lidar Cloud Detection with Fully Convolutional Networks
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Deep Learning for Scientific Discovery
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SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Properties from Chemical Text Representations
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Using Rule-Based Models for Weak Supervised Learning: ChemNet for Transferable Chemical Property Prediction
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The Outer Product Structure of Neural Network Derivatives
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A Class of Logistic Functions for Approximating State-Inclusive Koopman Operators
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Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians
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Deep Data-Driven Stochastic Models for Characterizing the Operational Envelope of a Genetic Toggle Switch
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Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks
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Use of Neural Networks to Analyze Pulse Shape Data in Low-background Detectors
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Doing the Impossible: Why Neural Networks Can Be Trained at All
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Generative Adversarial Network based Autoencoder: Application to Fault Detection Problem for Closed Loop Dynamical Systems
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Fractal Dimension Calculation using Box Locality Index
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Protein Mutation Stability Ternary Classification using Neural Networks and Rigidity Analysis
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Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection
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ToxNet: A Multi-Modal Deep Learning Ensemble
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2017

Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows
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Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models
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How Much Chemistry Does Deep Learning Need to Know to Make Accurate Chemical Predictions?
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Forecasting Influenza-like Illness Dynamics for Military Populations using Neural Networks and Social Media
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Using Social Media to Predict the Future: A Systematic Literature Review
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Studying Fish Near Ocean Energy Devices Using Underwater Video
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Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection
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Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams
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Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter
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Uncovering the Relationships between Military Community Health and Affects Expressed in Social Media
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Sharkzor: Interactive Deep Learning for Image Triage, Sort and Summary
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Dynamic Input Structure and Network Assembly for Few-Shot Learning
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A Koopman Operator Approach to Computing and Balancing Grammians for Discrete Time Nonlinear Systems
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Beyond Fine Tuning: Adding Capacity to Leverage Few Labels
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Assessing the Linguistic Productivity of Unsupervised Deep Neural Networks
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Faster Fuzzing: Reinitialization with Deep Neural Models
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ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation
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Solving Differential Equations with Unknown Constitutive Relations as Recurrent Neural Networks
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ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction
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Deep Learning