Nathan Wycoff

According to our database, Nathan Wycoff authored at least 15 papers between 2015 and 2024.

Collaborative distances:

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

2024

The digital trail of Ukraine's 2022 refugee exodus.

Nathan Wycoff, Lisa Singh, Ali Arab, Katharine M. Donato, Helge Marahrens

J. Comput. Soc. Sci., October, 2024

Regression Trees Know Calculus.

Nathan Wycoff

CoRR, 2024

Voronoi Candidates for Bayesian Optimization.

Nathan Wycoff, John W. Smith, Annie S. Booth, Robert B. Gramacy

CoRR, 2024

Surrogate Active Subspaces for Jump-Discontinuous Functions.

Nathan Wycoff

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization.

Mickaël Binois, Nathan Wycoff

ACM Trans. Evol. Learn. Optim., 2022

Sensitivity Prewarping for Local Surrogate Modeling.

Nathan Wycoff, Mickaël Binois, Robert B. Gramacy

Technometrics, 2022

Triangulation candidates for Bayesian optimization.

Robert B. Gramacy, Annie Sauer, Nathan Wycoff

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Gradient-Based Sensitivity Analysis with Kernels.

Nathan Wycoff

PhD thesis, 2021

Sequential Learning of Active Subspaces.

Nathan Wycoff, Mickaël Binois, Stefan M. Wild

J. Comput. Graph. Stat., 2021

Neko: a Library for Exploring Neuromorphic Learning Rules.

Zixuan Zhao, Nathan Wycoff, Neil Getty, Rick Stevens, Fangfang Xia

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2020

Towards On-Chip Bayesian Neuromorphic Learning.

Nathan Wycoff, Prasanna Balaprakash, Fangfang Xia

CoRR, 2020

2019

Interactive Visual Analytics for Sensemaking with Big Text.

Michelle Dowling, Nathan Wycoff, Brian Mayer, John E. Wenskovitch, Scotland Leman, Leanna House, Nicholas F. Polys, Chris North, Peter Hauck

Big Data Res., 2019

Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout.

Nathan Wycoff, Prasanna Balaprakash, Fangfang Xia

Proceedings of the International Conference on Neuromorphic Systems, 2019

2018

Be the Data: Embodied Visual Analytics.

Xin Chen, Jessica Zeitz Self, Leanna House, John E. Wenskovitch, Maoyuan Sun, Nathan Wycoff, Jane Robertson Evia, Scotland Leman, Chris North

IEEE Trans. Learn. Technol., 2018

2015

Big Text Visual Analytics in Sensemaking.

Lauren Bradel, Nathan Wycoff, Leanna House, Chris North

Proceedings of the Big Data Visual Analytics, 2015