Zachariah Carmichael

According to our database, Zachariah Carmichael authored at least 21 papers between 2018 and 2024.

Collaborative distances:

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

2024

Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Pixel-Grounded Prototypical Part Networks.

Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael J. Jones, Walter J. Scheirer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

This Probably Looks Exactly Like That: An Invertible Prototypical Network.

Zachariah Carmichael, Timothy Redgrave, Daniel Gonzalez Cedre, Walter J. Scheirer

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?

Zachariah Carmichael, Walter J. Scheirer

CoRR, 2023

Pixel-Grounded Prototypical Part Networks.

Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael N. Jones, Walter J. Scheirer

CoRR, 2023

HomOpt: A Homotopy-Based Hyperparameter Optimization Method.

Sophia J. Abraham, Kehelwala D. G. Maduranga, Jeffery Kinnison, Zachariah Carmichael, Jonathan D. Hauenstein, Walter J. Scheirer

CoRR, 2023

Motif Mining: Finding and Summarizing Remixed Image Content.

William Theisen, Daniel Gonzalez Cedre, Zachariah Carmichael, Daniel Moreira, Tim Weninger, Walter J. Scheirer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unfooling Perturbation-Based Post Hoc Explainers.

Zachariah Carmichael, Walter J. Scheirer

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.

Jonathan Takeshita, Zachariah Carmichael, Ryan Karl, Taeho Jung

IACR Cryptol. ePrint Arch., 2022

2021

Learning Interpretable Models Through Multi-Objective Neural Architecture Search.

Zachariah Carmichael, Tim Moon, Sam Ade Jacobs

CoRR, 2021

On the Objective Evaluation of Post Hoc Explainers.

Zachariah Carmichael, Walter J. Scheirer

CoRR, 2021

Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems.

Sophia J. Abraham, Zachariah Carmichael, Sreya Banerjee, Rosaura G. VidalMata, Ankit Agrawal, Md Nafee Al Islam, Walter J. Scheirer, Jane Cleland-Huang

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.

Hamed Fatemi Langroudi, Vedant Karia, Zachariah Carmichael, Abdullah M. Zyarah, Tej Pandit, John L. Gustafson, Dhireesha Kudithipudi

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.

Zachariah Carmichael, Humza Syed, Dhireesha Kudithipudi

CoRR, 2019

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

Hamed Fatemi Langroudi, Zachariah Carmichael, David Pastuch, Dhireesha Kudithipudi

CoRR, 2019

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

Hamed Fatemi Langroudi, Zachariah Carmichael, Dhireesha Kudithipudi

CoRR, 2019

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

Zachariah Carmichael, Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi

CoRR, 2019

Stochastic Tucker-Decomposed Recurrent Neural Networks for Forecasting.

Zachariah Carmichael, Dhireesha Kudithipudi

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Autonomous navigation using localization priors, sensor fusion, and terrain classification.

Zachariah Carmichael, Benjamin Glasstone, Frank Cwitkowitz, Kenneth Alexopoulos, Robert Relyea, Raymond W. Ptucha

Proceedings of the Autonomous Vehicles and Machines 2019, 2019

Deep Positron: A Deep Neural Network Using the Posit Number System.

Zachariah Carmichael, Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Mod-DeepESN: Modular Deep Echo State Network.

Zachariah Carmichael, Humza Syed, Stuart Burtner, Dhireesha Kudithipudi

CoRR, 2018