Aaron Tuor

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Predictive Control

Differential Equations

Top Venues

Publications

Ján Drgona, Aaron Tuor, Draguna L. Vrabie
Learning Constrained Parametric Differentiable Predictive Control Policies With Guarantees. IEEE Trans. Syst. Man Cybern. Syst. 54 (6) (2024)
Ján Drgona, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
Learning Stochastic Parametric Differentiable Predictive Control Policies. CoRR (2022)
Ethan King, Ján Drgona, Aaron Tuor, Shrirang Abhyankar, Craig Bakker, Arnab Bhattacharya, Draguna L. Vrabie
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem. CoRR (2022)
James Koch, Zhao Chen, Aaron Tuor, Ján Drgona, Draguna L. Vrabie
Structural Inference of Networked Dynamical Systems with Universal Differential Equations. CoRR (2022)
Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
Neural Lyapunov Differentiable Predictive Control. CDC (2022)
Wenceslao Shaw-Cortez, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. CDC (2022)
Shrirang Abhyankar, Ján Drgona, Andrew August, Elliott Skomski, Aaron Tuor
Neuro-physical dynamic load modeling using differentiable parametric optimization. CoRR (2022)
Ethan King, Ján Drgona, Aaron Tuor, Shrirang Abhyankar, Craig Bakker, Arnab Bhattacharya, Draguna L. Vrabie
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem. ACC (2022)
Wenceslao Shaw-Cortez, Soumya Vasisht, Aaron Tuor, Ján Drgona, Draguna L. Vrabie
Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles. CoRR (2022)
Wenceslao Shaw-Cortez, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. CoRR (2022)
Aowabin Rahman, Ján Drgona, Aaron Tuor, Jan Strube
Neural Ordinary Differential Equations for Nonlinear System Identification. ACC (2022)
Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
Neural Lyapunov Differentiable Predictive Control. CoRR (2022)
Aowabin Rahman, Ján Drgona, Aaron Tuor, Jan Strube
Neural Ordinary Differential Equations for Nonlinear System Identification. CoRR (2022)
Elliott Skomski, Jan Drgona, Aaron Tuor
Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution. L4DC (2021)
Elliott Skomski, Soumya Vasisht, Colby Wight, Aaron Tuor, Jan Drgona, Draguna L. Vrabie
Constrained Block Nonlinear Neural Dynamical Models. ACC (2021)
Elliott Skomski, Aaron Tuor, Andrew Avila, Lauren A. Phillips, Zachary New, Henry Kvinge, Courtney D. Corley, Nathan O. Hodas
Prototypical Region Proposal Networks for Few-Shot Localization and Classification. CoRR (2021)
Elliott Skomski, Soumya Vasisht, Colby Wight, Aaron Tuor, Jan Drgona, Draguna L. Vrabie
Constrained Block Nonlinear Neural Dynamical Models. CoRR (2021)
Jan Drgona, Aaron Tuor, Soumya Vasisht, Elliott Skomski, Draguna L. Vrabie
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings. CoRR (2021)
Henry Kvinge, Zachary New, Nico Courts, Jung H. Lee, Lauren A. Phillips, Courtney D. Corley, Aaron Tuor, Andrew Avila, Nathan O. Hodas
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning. MetaDL@AAAI (2021)
Jan Drgona, Karol Kis, Aaron Tuor, Draguna L. Vrabie, Martin Klauco
Differentiable Predictive Control: An MPC Alternative for Unknown Nonlinear Systems using Constrained Deep Learning. CoRR (2020)
Jan Drgona, Elliott Skomski, Soumya Vasisht, Aaron Tuor, Draguna L. Vrabie
Spectral Analysis and Stability of Deep Neural Dynamics. CoRR (2020)
Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CVPR Workshops (2020)
Aaron Tuor, Jan Drgona, Draguna L. Vrabie
Constrained Neural Ordinary Differential Equations with Stability Guarantees. CoRR (2020)
Jan Drgona, Aaron Tuor, Draguna L. Vrabie
Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Unknown Linear Systems. CoRR (2020)
Elliott Skomski, Jan Drgona, Aaron Tuor
Physics-Informed Neural State Space Models via Learning and Evolution. CoRR (2020)
Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CoRR (2020)
Henry Kvinge, Zachary New, Nico Courts, Jung H. Lee, Lauren A. Phillips, Courtney D. Corley, Aaron Tuor, Andrew Avila, Nathan O. Hodas
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning. CoRR (2020)
Aaron Tuor, Fnu Anubhav, Lauren Charles
Multiple Document Representations from News Alerts for Automated Bio-surveillance Event Detection. CoRR (2019)
Andy Brown, Aaron Tuor, Brian Hutchinson, Nicole Nichols
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection. CoRR (2018)
Richard Olney, Aaron Tuor, Filip Jagodzinski, Brian Hutchinson
A systematic exploration of ΔΔG cutoff ranges in machine learning models for protein mutation stability prediction. J. Bioinform. Comput. Biol. 16 (5) (2018)
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. AAAI Workshops (2017)
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. CoRR (2017)
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
Predicting User Roles from Computer Logs Using Recurrent Neural Networks. AAAI (2017)
Aaron Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Robert Jasper
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection. CoRR (2017)