Zachariah Carmichael

According to our database1, Zachariah Carmichael authored at least 19 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness.
CoRR, 2023

How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
CoRR, 2023

Pixel-Grounded Prototypical Part Networks.
CoRR, 2023

HomOpt: A Homotopy-Based Hyperparameter Optimization Method.
CoRR, 2023

Motif Mining: Finding and Summarizing Remixed Image Content.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unfooling Perturbation-Based Post Hoc Explainers.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
TERSE: Tiny Encryptions and Really Speedy Execution for Post-Quantum Private Stream Aggregation.
IACR Cryptol. ePrint Arch., 2022

2021
Learning Interpretable Models Through Multi-Objective Neural Architecture Search.
CoRR, 2021

On the Objective Evaluation of Post Hoc Explainers.
CoRR, 2021

Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems.
Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, 2021

ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2019
Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting.
CoRR, 2019

Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge.
CoRR, 2019

Deep Learning Training on the Edge with Low-Precision Posits.
CoRR, 2019

Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks.
CoRR, 2019

Stochastic Tucker-Decomposed Recurrent Neural Networks for Forecasting.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Autonomous navigation using localization priors, sensor fusion, and terrain classification.
Proceedings of the Autonomous Vehicles and Machines 2019, 2019

Deep Positron: A Deep Neural Network Using the Posit Number System.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
Mod-DeepESN: Modular Deep Echo State Network.
CoRR, 2018


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