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09/20/2023
Latent Diffusion Models for Structural Component Design
Recent advances in generative modeling, namely Diffusion models, have re...
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09/06/2023
Active shooter detection and robust tracking utilizing supplemental synthetic data
The increasing concern surrounding gun violence in the United States has...
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06/16/2023
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos
Recognizing the activities, causing distraction, in real-world driving s...
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06/04/2023
Deep learning powered real-time identification of insects using citizen science data
Insect-pests significantly impact global agricultural productivity and q...
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05/02/2023
Out-of-distribution detection algorithms for robust insect classification
Deep learning-based approaches have produced models with good insect cla...
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02/20/2023
SpecXAI – Spectral interpretability of Deep Learning Models
Deep learning is becoming increasingly adopted in business and industry ...
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11/26/2022
3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images
Recent developments in deep learning-based methods demonstrated its pote...
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11/07/2022
Neural PDE Solvers for Irregular Domains
Neural network-based approaches for solving partial differential equatio...
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09/21/2022
Distributed Online Non-convex Optimization with Composite Regret
Regret has been widely adopted as the metric of choice for evaluating th...
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08/28/2022
Asynchronous Training Schemes in Distributed Learning with Time Delay
In the context of distributed deep learning, the issue of stale weights ...
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08/03/2022
A Deep Learning Approach to Detect Lean Blowout in Combustion Systems
Lean combustion is environment friendly with low NOx emissions and also ...
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07/15/2022
Glucose Control, Sleep, Obesity, and Real-World Driver Safety at Stop Intersections in Type 1 Diabetes
Background: Diabetes is associated with obesity, poor glucose control an...
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04/29/2022
Concept Activation Vectors for Generating User-Defined 3D Shapes
We explore the interpretability of 3D geometric deep learning models in ...
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03/29/2022
Stochastic Conservative Contextual Linear Bandits
Many physical systems have underlying safety considerations that require...
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12/06/2021
MDPGT: Momentum-based Decentralized Policy Gradient Tracking
We propose a novel policy gradient method for multi-agent reinforcement ...
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10/04/2021
Cross-Modal Virtual Sensing for Combustion Instability Monitoring
In many cyber-physical systems, imaging can be an important but expensiv...
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10/04/2021
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs
We consider a mesh-based approach for training a neural network to produ...
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10/04/2021
Differentiable Spline Approximations
The paradigm of differentiable programming has significantly enhanced th...
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09/24/2021
A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems
Volt-var control (VVC) is the problem of operating power distribution sy...
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08/09/2021
ndsintxn: An R Package for Extracting Information from Naturalistic Driving Data to Support Driver Behavior Analyses at Intersections
The use of naturalistic driving studies (NDSs) for driver behavior resea...
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04/29/2021
NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications
Recent deep-learning-based techniques for the reconstruction of geometri...
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04/29/2021
Distributed Multigrid Neural Solvers on Megavoxel Domains
We consider the distributed training of large-scale neural networks that...
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04/09/2021
Granger Causality Based Hierarchical Time Series Clustering for State Estimation
Clustering is an unsupervised learning technique that is useful when wor...
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04/08/2021
Sugar and Stops in Drivers with Insulin-Dependent Type 1 Diabetes
Diabetes is a major public health challenge worldwide. Abnormal physiolo...
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03/02/2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID data
Decentralized learning enables a group of collaborative agents to learn ...
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01/19/2021
A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment
In this paper we propose a new framework - MoViLan (Modular Vision and L...
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01/06/2021
3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems
While analytical solutions of critical (phase) transitions in physical s...
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12/09/2020
Physics-consistent deep learning for structural topology optimization
Topology optimization has emerged as a popular approach to refine a comp...
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11/13/2020
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications
Reliable seed yield estimation is an indispensable step in plant breedin...
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11/13/2020
Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents
Advances in computing resources have resulted in the increasing complexi...
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10/21/2020
Decentralized Deep Learning using Momentum-Accelerated Consensus
We consider the problem of decentralized deep learning where multiple ag...
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08/13/2020
Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras
Reliable detection of human occupancy in indoor environments is critical...
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08/11/2020
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation
Multivariate time series modeling and prediction problems are abundant i...
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07/24/2020
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models
Recent progress in scientific machine learning (SciML) has opened up the...
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07/14/2020
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training
Adoption of machine learning (ML)-enabled cyber-physical systems (CPS) a...
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06/24/2020
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning
Accurate prediction of crop yield supported by scientific and domain-rel...
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06/07/2020
How useful is Active Learning for Image-based Plant Phenotyping?
Deep learning models have been successfully deployed for a diverse array...
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11/14/2019
Deep Reinforcement Learning for Adaptive Traffic Signal Control
Many existing traffic signal controllers are either simple adaptive cont...
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11/09/2019
A perspective on multi-agent communication for information fusion
Collaborative decision making in multi-agent systems typically requires ...
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10/18/2019
A Saddle-Point Dynamical System Approach for Robust Deep Learning
We propose a novel discrete-time dynamical system-based framework for ac...
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10/15/2019
On Higher-order Moments in Adam
In this paper, we investigate the popular deep learning optimization rou...
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09/05/2019
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
Robustness of Deep Reinforcement Learning (DRL) algorithms towards adver...
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06/28/2019
Learning to Cope with Adversarial Attacks
The security of Deep Reinforcement Learning (Deep RL) algorithms deploye...
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06/04/2019
Encoding Invariances in Deep Generative Models
Reliable training of generative adversarial networks (GANs) typically re...
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05/31/2019
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions
In this paper, we present a novel model to detect lane regions and extra...
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04/17/2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
Deep neural networks have been shown to exhibit an intriguing vulnerabil...
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11/29/2018
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning
Microfluidic devices are utilized to control and direct flow behavior in...
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11/23/2018
3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys
The need for advanced materials has led to the development of complex, m...
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11/21/2018
Physics-aware Deep Generative Models for Creating Synthetic Microstructures
A key problem in computational material science deals with understanding...
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11/14/2018