Elliott Skomski

According to our database, Elliott Skomski authored at least 10 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Neuro-physical dynamic load modeling using differentiable parametric optimization.

Shrirang Abhyankar, Ján Drgona, Andrew August, Elliott Skomski, Aaron Tuor

CoRR, 2022

2021

Adaptive Transfer Learning: a simple but effective transfer learning.

Jung H. Lee, Henry J. Kvinge, Scott Howland, Zachary New, John Buckheit, Lauren A. Phillips, Elliott Skomski, Jessica Hibler, Courtney D. Corley, Nathan O. Hodas

CoRR, 2021

Deep Learning Explicit Differentiable Predictive Control Laws for Buildings.

Ján Drgona, Aaron Tuor, Soumya Vasisht, Elliott Skomski, Draguna L. Vrabie

CoRR, 2021

One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations.

Henry Kvinge, Scott Howland, Nico Courts, Lauren A. Phillips, John Buckheit, Zachary New, Elliott Skomski, Jung H. Lee, Sandeep Tiwari, Jessica Hibler, Courtney D. Corley, Nathan O. Hodas

CoRR, 2021

Prototypical Region Proposal Networks for Few-Shot Localization and Classification.

Elliott Skomski, Aaron Tuor, Andrew Avila, Lauren A. Phillips, Zachary New, Henry Kvinge, Courtney D. Corley, Nathan O. Hodas

CoRR, 2021

Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution.

Elliott Skomski, Ján Drgona, Aaron Tuor

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Constrained Block Nonlinear Neural Dynamical Models.

Elliott Skomski, Soumya Vasisht, Colby Wight, Aaron Tuor, Ján Drgona, Draguna L. Vrabie

Proceedings of the 2021 American Control Conference, 2021

2020

Physics-Informed Neural State Space Models via Learning and Evolution.

Elliott Skomski, Ján Drgona, Aaron Tuor

CoRR, 2020

Spectral Analysis and Stability of Deep Neural Dynamics.

Ján Drgona, Elliott Skomski, Soumya Vasisht, Aaron Tuor, Draguna L. Vrabie

CoRR, 2020

2017

Crossing the Streams: Fuzz testing with user input.

Joseph A. Cottam, Leslie M. Blaha, Dimitri Zarzhitsky, Mathew Thomas, Elliott Skomski

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017