Natalie Maus

According to our database1, Natalie Maus authored at least 10 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Approximation-Aware Bayesian Optimization.
CoRR, 2024

Joint Composite Latent Space Bayesian Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Inverse Protein Folding Using Deep Bayesian Optimization.
CoRR, 2023

Adversarial Prompting for Black Box Foundation Models.
CoRR, 2023

Variational Gaussian Processes with Decoupled Conditionals.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discovering Many Diverse Solutions with Bayesian Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Estimating heading from optic flow: Comparing deep learning network and human performance.
Neural Networks, 2022

Local Latent Space Bayesian Optimization over Structured Inputs.
CoRR, 2022

Local Latent Space Bayesian Optimization over Structured Inputs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020
Gaze-guided Magnification for Individuals with Vision Impairments.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020


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