Learning Constrained Parametric Differentiable Predictive Control Policies With Guarantees.
IEEE Trans. Syst. Man Cybern. Syst., June, 2024
Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles.
CoRR, 2022
Structural Inference of Networked Dynamical Systems with Universal Differential Equations.
CoRR, 2022
Neuro-physical dynamic load modeling using differentiable parametric optimization.
CoRR, 2022
Learning Stochastic Parametric Differentiable Predictive Control Policies.
CoRR, 2022
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Neural Lyapunov Differentiable Predictive Control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Neural Ordinary Differential Equations for Nonlinear System Identification.
Proceedings of the American Control Conference, 2022
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem.
Proceedings of the American Control Conference, 2022
Deep Learning Classification of Cheatgrass Invasion in the Western United States Using Biophysical and Remote Sensing Data.
Remote. Sens., 2021
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings.
CoRR, 2021
Prototypical Region Proposal Networks for Few-Shot Localization and Classification.
CoRR, 2021
Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Constrained Block Nonlinear Neural Dynamical Models.
Proceedings of the 2021 American Control Conference, 2021
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning.
Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021
Physics-Informed Neural State Space Models via Learning and Evolution.
CoRR, 2020
Spectral Analysis and Stability of Deep Neural Dynamics.
CoRR, 2020
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics.
CoRR, 2020
Differentiable Predictive Control: An MPC Alternative for Unknown Nonlinear Systems using Constrained Deep Learning.
CoRR, 2020
Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Unknown Linear Systems.
CoRR, 2020
Constrained Neural Ordinary Differential Equations with Stability Guarantees.
CoRR, 2020
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Multiple Document Representations from News Alerts for Automated Bio-surveillance Event Detection.
CoRR, 2019
A systematic exploration of ΔΔG cutoff ranges in machine learning models for protein mutation stability prediction.
J. Bioinform. Comput. Biol., 2018
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection.
CoRR, 2018
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
Predicting User Roles from Computer Logs Using Recurrent Neural Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017