Zachariah Carmichael

30 papers A* 2A 4C 1Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Fast 3D Surrogate Modeling for Data Center Thermal Management. AAAI Soumyendu Sarkar, Antonio Guillen-Perez, Zachariah Carmichael, Avisek Naug, Refik Mert Cam, Vineet Gundecha, Ashwin Ramesh Babu, Sahand Ghorbanpour, Ricardo Luna Gutierrez
2025	J	`jnl`	Fast 3D Surrogate Modeling for Data Center Thermal Management. CoRR Soumyendu Sarkar, Antonio Guillen-Perez, Zachariah Carmichael, Avisek Naug, Refik Mert Cam, Vineet Gundecha, Ashwin Ramesh Babu, Sahand Ghorbanpour, Ricardo Luna Gutiérrez
2024	A	`conf`	Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. WACV Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug
2024	A	`conf`	Pixel-Grounded Prototypical Part Networks. WACV Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael J. Jones, Walter J. Scheirer
2024	—	`conf`	This Probably Looks Exactly Like That: An Invertible Prototypical Network. ECCV (37) Zachariah Carmichael, Timothy Redgrave, Daniel Gonzalez Cedre, Walter J. Scheirer
2024	J	`jnl`	This Probably Looks Exactly Like That: An Invertible Prototypical Network. CoRR Zachariah Carmichael, Timothy Redgrave, Daniel Gonzalez Cedre, Walter J. Scheirer
2023	J	`jnl`	Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. CoRR Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna, Antonio Guillen, Avisek Naug
2023	J	`jnl`	HomOpt: A Homotopy-Based Hyperparameter Optimization Method. CoRR Sophia J. Abraham, Kehelwala D. G. Maduranga, Jeffery Kinnison, Zachariah Carmichael, Jonathan D. Hauenstein, Walter J. Scheirer
2023	J	`jnl`	How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? CoRR Zachariah Carmichael, Walter J. Scheirer
2023	A	`conf`	Motif Mining: Finding and Summarizing Remixed Image Content. WACV William Theisen, Daniel Gonzalez Cedre, Zachariah Carmichael, Daniel Moreira, Tim Weninger, Walter J. Scheirer
2023	J	`jnl`	Pixel-Grounded Prototypical Part Networks. CoRR Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael J. Jones, Walter J. Scheirer
2023	A*	`conf`	Unfooling Perturbation-Based Post Hoc Explainers. AAAI Zachariah Carmichael, Walter J. Scheirer
2022	J	`jnl`	Motif Mining: Finding and Summarizing Remixed Image Content. CoRR William Theisen, Daniel Gonzalez Cedre, Zachariah Carmichael, Daniel Moreira, Tim Weninger, Walter J. Scheirer
2022	C	`conf`	TERSE: Tiny Encryptions and Really Speedy Execution for Post-Quantum Private Stream Aggregation. SecureComm Jonathan Takeshita, Zachariah Carmichael, Ryan Karl, Taeho Jung
2022	J	`jnl`	TERSE: Tiny Encryptions and Really Speedy Execution for Post-Quantum Private Stream Aggregation. IACR Cryptol. ePrint Arch. Jonathan Takeshita, Zachariah Carmichael, Ryan Karl, Taeho Jung
2022	J	`jnl`	Unfooling Perturbation-Based Post Hoc Explainers. CoRR Zachariah Carmichael, Walter J. Scheirer
2021	—	`conf`	ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS. CVPR Workshops Hamed Fatemi Langroudi, Vedant Karia, Zachariah Carmichael, Abdullah M. Zyarah, Tej Pandit, John L. Gustafson, Dhireesha Kudithipudi
2021	—	`conf`	Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems. WAIN@ICSE Sophia J. Abraham, Zachariah Carmichael, Sreya Banerjee, Rosaura G. VidalMata, Ankit Agrawal, Md Nafee Al Islam, Walter J. Scheirer, Jane Cleland-Huang
2021	J	`jnl`	Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems. CoRR Sophia J. Abraham, Zachariah Carmichael, Sreya Banerjee, Rosaura G. VidalMata, Ankit Agrawal, Md Nafee Al Islam, Walter J. Scheirer, Jane Cleland-Huang
2021	J	`jnl`	Learning Interpretable Models Through Multi-Objective Neural Architecture Search. CoRR Zachariah Carmichael, Tim Moon, Sam Ade Jacobs
2021	J	`jnl`	On the Objective Evaluation of Post Hoc Explainers. CoRR Zachariah Carmichael, Walter J. Scheirer
2019	J	`jnl`	Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting. CoRR Zachariah Carmichael, Humza Syed, Dhireesha Kudithipudi
2019	—	`conf`	Autonomous navigation using localization priors, sensor fusion, and terrain classification. Autonomous Vehicles and Machines Zachariah Carmichael, Benjamin Glasstone, Frank Cwitkowitz, Kenneth Alexopoulos, Robert Relyea, Raymond W. Ptucha
2019	J	`jnl`	Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge. CoRR Hamed Fatemi Langroudi, Zachariah Carmichael, David Pastuch, Dhireesha Kudithipudi
2019	J	`jnl`	Deep Learning Training on the Edge with Low-Precision Posits. CoRR Hamed Fatemi Langroudi, Zachariah Carmichael, Dhireesha Kudithipudi
2019	A	`conf`	Deep Positron: A Deep Neural Network Using the Posit Number System. DATE Zachariah Carmichael, Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi
2019	J	`jnl`	Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks. CoRR Zachariah Carmichael, Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi
2019	—	`conf`	Stochastic Tucker-Decomposed Recurrent Neural Networks for Forecasting. GlobalSIP Zachariah Carmichael, Dhireesha Kudithipudi
2018	J	`jnl`	Deep Positron: A Deep Neural Network Using the Posit Number System. CoRR Zachariah Carmichael, Seyed Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi
2018	J	`jnl`	Mod-DeepESN: Modular Deep Echo State Network. CoRR Zachariah Carmichael, Humza Syed, Stuart Burtner, Dhireesha Kudithipudi