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Elliott Skomski

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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

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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

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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

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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

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Physics-Informed Neural State Space Models via Learning and Evolution

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

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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

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