Zachariah Carmichael

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Adaptive Quantization

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Zachariah Carmichael, Timothy Redgrave, Daniel Gonzalez Cedre, Walter J. Scheirer
This Probably Looks Exactly Like That: An Invertible Prototypical Network. CoRR (2024)
Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael J. Jones, Walter J. Scheirer
Pixel-Grounded Prototypical Part Networks. WACV (2024)
Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. WACV (2024)
William Theisen, Daniel Gonzalez Cedre, Zachariah Carmichael, Daniel Moreira, Tim Weninger, Walter J. Scheirer
Motif Mining: Finding and Summarizing Remixed Image Content. WACV (2023)
Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael N. Jones, Walter J. Scheirer
Pixel-Grounded Prototypical Part Networks. CoRR (2023)
Sophia J. Abraham, Kehelwala D. G. Maduranga, Jeffery Kinnison, Zachariah Carmichael, Jonathan D. Hauenstein, Walter J. Scheirer
HomOpt: A Homotopy-Based Hyperparameter Optimization Method. CoRR (2023)
Zachariah Carmichael, Walter J. Scheirer
Unfooling Perturbation-Based Post Hoc Explainers. AAAI (2023)
Zachariah Carmichael, Walter J. Scheirer
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? CoRR (2023)
Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. CoRR (2023)
Zachariah Carmichael, Walter J. Scheirer
Unfooling Perturbation-Based Post Hoc Explainers. CoRR (2022)
Jonathan Takeshita, Zachariah Carmichael, Ryan Karl, Taeho Jung
TERSE: Tiny Encryptions and Really Speedy Execution for Post-Quantum Private Stream Aggregation. IACR Cryptol. ePrint Arch. 2022 (2022)
William Theisen, Daniel Gonzalez Cedre, Zachariah Carmichael, Daniel Moreira, Tim Weninger, Walter J. Scheirer
Motif Mining: Finding and Summarizing Remixed Image Content. CoRR (2022)
Jonathan Takeshita, Zachariah Carmichael, Ryan Karl, Taeho Jung
TERSE: Tiny Encryptions and Really Speedy Execution for Post-Quantum Private Stream Aggregation. SecureComm (2022)
Sophia J. Abraham, Zachariah Carmichael, Sreya Banerjee, Rosaura G. VidalMata, Ankit Agrawal, Md Nafee Al Islam, Walter J. Scheirer, Jane Cleland-Huang
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems. CoRR (2021)
Zachariah Carmichael, Tim Moon, Sam Ade Jacobs
Learning Interpretable Models Through Multi-Objective Neural Architecture Search. CoRR (2021)
Sophia J. Abraham, Zachariah Carmichael, Sreya Banerjee, Rosaura G. VidalMata, Ankit Agrawal, Md Nafee Al Islam, Walter J. Scheirer, Jane Cleland-Huang
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems. WAIN@ICSE (2021)
Zachariah Carmichael, Walter J. Scheirer
On the Objective Evaluation of Post Hoc Explainers. CoRR (2021)
Hamed Fatemi Langroudi, Vedant Karia, Zachariah Carmichael, Abdullah M. Zyarah, Tej Pandit, John L. Gustafson, Dhireesha Kudithipudi
ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS. CVPR Workshops (2021)
Hamed Fatemi Langroudi, Zachariah Carmichael, David Pastuch, Dhireesha Kudithipudi
Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge. CoRR (2019)
Zachariah Carmichael, Humza Syed, Dhireesha Kudithipudi
Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting. CoRR (2019)
Zachariah Carmichael, Dhireesha Kudithipudi
Stochastic Tucker-Decomposed Recurrent Neural Networks for Forecasting. GlobalSIP (2019)
Zachariah Carmichael, Benjamin Glasstone, Frank Cwitkowitz, Kenneth Alexopoulos, Robert Relyea, Raymond W. Ptucha
Autonomous navigation using localization priors, sensor fusion, and terrain classification. Autonomous Vehicles and Machines (2019)
Zachariah Carmichael, Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi
Deep Positron: A Deep Neural Network Using the Posit Number System. DATE (2019)
Hamed Fatemi Langroudi, Zachariah Carmichael, Dhireesha Kudithipudi
Deep Learning Training on the Edge with Low-Precision Posits. CoRR (2019)
Zachariah Carmichael, Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi
Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks. CoRR (2019)
Zachariah Carmichael, Seyed Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi
Deep Positron: A Deep Neural Network Using the Posit Number System. CoRR (2018)
Zachariah Carmichael, Humza Syed, Stuart Burtner, Dhireesha Kudithipudi
Mod-DeepESN: Modular Deep Echo State Network. CoRR (2018)