Chace Ashcraft

24 papers B 1Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Trojans in Artificial Intelligence (TrojAI) Final Report. CoRR Kristopher W. Reese, Taylor Kulp-McDowall, Michael Majurski, Timothy Blattner, Derek Juba, Peter Bajcsy, Antonio Cardone, Philippe Dessauw, Alden Dima, Anthony J. Kearsley, Melinda Kleczynski, Joel Vasanth, Walid Keyrouz, Chace Ashcraft, Neil Fendley, Ted Staley, Trevor Stout, Josh Carney, Greg Canal, William Redman, Aurora Schmidt, Cameron Hickert, William Paul, Jared Markowitz, Nathan Drenkow, David Shriver, Marissa Connor, Keltin Grimes, Marco Christiani, Hayden Moore, Jordan Widjaja, Kasimir Gabert, Uma Balakrishnan, Satyanadh Gundimada, John Jacobellis, Sandya Lakkur, Vitus Leung, Jon Roose, Casey Battaglino, Farinaz Koushanfar, Greg Fields, Xihe Gu, Yaman Jandali, Xinqiao Zhang, Tara Javidi, Akash Vartak, Tim Oates, Ben Erichson, Michael Mahoney, Rauf Izmailov, Xiangyu Zhang, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Xiaofeng Wang, Haixu Tang, Di Tang, Xiaoyi Chen, Zihao Wang, Rui Zhu, Susmit Jha, Xiao Lin, Manoj Acharya, Weichao Zhou, Feisi Fu, Panagiota Kiourti, Chenyu Wang, Zijian Guo, H. M. Sabbir Ahmad, Wenchao Li, Chao Chen
2025	J	`jnl`	Backdoors in DRL: Four Environments Focusing on In-distribution Triggers. CoRR Chace Ashcraft, Ted Staley, Josh Carney, Cameron Hickert, Kiran Karra, Nathan Drenkow
2025	J	`jnl`	Discovering strategies for coastal resilience with AI-based prediction and optimization. CoRR Jared Markowitz, Alexander New, Jennifer Sleeman, Chace Ashcraft, Jay Brett, Gary Collins, Stella In, Nathaniel Winstead
2025	J	`jnl`	Investigating the Treacherous Turn in Deep Reinforcement Learning. CoRR Chace Ashcraft, Kiran Karra, Josh Carney, Nathan Drenkow
2025	J	`jnl`	Large Language Models are Highly Aligned with Human Ratings of Emotional Stimuli. CoRR Mattson Ogg, Chace Ashcraft, Ritwik Bose, Raphael Norman-Tenazas, Michael Wolmetz
2024	J	`jnl`	Difference Learning for Air Quality Forecasting Transport Emulation. CoRR Reed River Chen, Christopher Ribaudo, Jennifer Sleeman, Chace Ashcraft, Collin Kofroth, Marisa Hughes, Ivanka Stajner, Kevin Viner, Kai Wang
2023	J	`jnl`	A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN). CoRR Jennifer Sleeman, David Chung, Anand Gnanadesikan, Jay Brett, Yannis G. Kevrekidis, Marisa Hughes, Thomas W. N. Haine, Marie-Aude Pradal, Renske Gelderloos, Chace Ashcraft, Caroline Tang, Anshu Saksena, Larry White
2023	J	`jnl`	Neuro-Symbolic Bi-Directional Translation - Deep Learning Explainability for Climate Tipping Point Research. CoRR Chace Ashcraft, Jennifer Sleeman, Caroline Tang, Jay Brett, Anand Gnanadesikan
2023	J	`jnl`	Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points. CoRR Jennifer Sleeman, David Chung, Chace Ashcraft, Jay Brett, Anand Gnanadesikan, Yannis G. Kevrekidis, Marisa Hughes, Thomas W. N. Haine, Marie-Aude Pradal, Renske Gelderloos, Caroline Tang, Anshu Saksena, Larry White
2022	J	`jnl`	Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity. CoRR Nathan Drenkow, Alvin Tan, Chace Ashcraft, Kiran Karra
2022	J	`jnl`	L2Explorer: A Lifelong Reinforcement Learning Assessment Environment. CoRR Erik C. Johnson, Eric Q. Nguyen, Blake Schreurs, Chigozie S. Ewulum, Chace Ashcraft, Neil M. Fendley, Megan M. Baker, Alexander New, Gautam K. Vallabha
2022	J	`jnl`	Latent Properties of Lifelong Learning Systems. CoRR Corban G. Rivera, Chace Ashcraft, Alexander New, James Schmidt, Gautam K. Vallabha
2022	J	`jnl`	Learning generalizable behaviors from demonstration. Frontiers Neurorobotics Corban G. Rivera, Katie M. Popek, Chace Ashcraft, Edward W. Staley, Kapil D. Katyal, Bart L. Paulhamus
2022	—	`conf`	SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks. DASC/PiCom/CBDCom/CyberSciTech Kiran Karra, Chace Ashcraft, Cash Costello
2022	J	`jnl`	Structural Similarity for Improved Transfer in Reinforcement Learning. CoRR Chace Ashcraft, Benjamin Stoler, Chigozie S. Ewulum, Susama Agarwala
2021	J	`jnl`	Machine Learning aided Crop Yield Optimization. CoRR Chace Ashcraft, Kiran Karra
2021	J	`jnl`	Meta Arcade: A Configurable Environment Suite for Meta-Learning. CoRR Edward W. Staley, Chace Ashcraft, Benjamin Stoler, Jared Markowitz, Gautam K. Vallabha, Christopher Ratto, Kapil D. Katyal
2021	J	`jnl`	Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers. CoRR Chace Ashcraft, Kiran Karra
2021	J	`jnl`	SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks. CoRR Kiran Karra, Chace Ashcraft
2020	J	`jnl`	PICO: Primitive Imitation for COntrol. CoRR Corban G. Rivera, Katie M. Popek, Chace Ashcraft, Edward W. Staley, Kapil D. Katyal, Bart L. Paulhamus
2020	J	`jnl`	The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models. CoRR Kiran Karra, Chace Ashcraft, Neil Fendley
2019	B	`conf`	Moderating Operator Influence in Human-Swarm Systems. SMC Chace Ashcraft, Michael A. Goodrich, Jacob W. Crandall
2017	—	`conf`	Human-Swarm Interaction as Shared Control: Achieving Flexible Fault-Tolerant Systems. HCI (5) Jacob W. Crandall, Nathan Anderson, Chace Ashcraft, John R. Grosh, Jonah Henderson, Joshua McClellan, Aadesh Neupane, Michael A. Goodrich
2016	—	`conf`	Mrs: High Performance MapReduce for Iterative and Asynchronous Algorithms in Python. PyHPC@SC Jeffrey Lund, Chace Ashcraft, Andrew W. McNabb, Kevin D. Seppi