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Adaptive Transfer Learning: a simple but effective transfer learning


Nov 22, 2021
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

* 10 pages, 7 figures 

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Deep Learning Explicit Differentiable Predictive Control Laws for Buildings


Jul 25, 2021
Jan Drgona , Aaron Tuor , Soumya Vasisht , Elliott Skomski , Draguna Vrabie


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


Jun 02, 2021
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

* 15 pages 

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Prototypical Region Proposal Networks for Few-Shot Localization and Classification


Apr 08, 2021
Elliott Skomski , Aaron Tuor , Andrew Avila , Lauren Phillips , Zachary New , Henry Kvinge , Courtney D. Corley , Nathan Hodas

* 9 pages, 1 figure. Submitted to 4th Workshop on Meta-Learning at NeurIPS 2020 

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Constrained Block Nonlinear Neural Dynamical Models


Jan 06, 2021
Elliott Skomski , Soumya Vasisht , Colby Wight , Aaron Tuor , Jan Drgona , Draguna Vrabie

* 10 pages. Submitted to American Control Conference ACC 2020. Under review 

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Physics-Informed Neural State Space Models via Learning and Evolution


Nov 26, 2020
Elliott Skomski , Jan Drgona , Aaron Tuor

* Submitted to 3rd Annual Learning for Dynamics & Control Conference. 9 pages. 4 figures 

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Spectral Analysis and Stability of Deep Neural Dynamics


Nov 26, 2020
Jan Drgona , Elliott Skomski , Soumya Vasisht , Aaron Tuor , Draguna Vrabie

* Submitted to 3rd Annual Learning for Dynamics & Control Conference. 10 pages. 4 figures 

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