Chace Ashcraft

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Structural Similarity

Reinforcement Learning

Comparable Corpora

Top Venues

Frontiers Neurorobotics

Publications

Reed River Chen, Christopher Ribaudo, Jennifer Sleeman, Chace Ashcraft, Collin Kofroth, Marisa Hughes, Ivanka Stajner, Kevin Viner, Kai Wang
Difference Learning for Air Quality Forecasting Transport Emulation. CoRR (2024)
Jennifer Sleeman, David Chung, Anand Gnanadesikan, Jay Brett, Yannis Kevrekidis, Marisa Hughes, Thomas W. N. Haine, Marie-Aude Pradal, Renske Gelderloos, Chace Ashcraft, Caroline Tang, Anshu Saksena, Larry White
A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN). CoRR (2023)
Chace Ashcraft, Jennifer Sleeman, Caroline Tang, Jay Brett, Anand Gnanadesikan
Neuro-Symbolic Bi-Directional Translation - Deep Learning Explainability for Climate Tipping Point Research. CoRR (2023)
Jennifer Sleeman, David Chung, Chace Ashcraft, Jay Brett, Anand Gnanadesikan, Yannis Kevrekidis, Marisa Hughes, Thomas W. N. Haine, Marie-Aude Pradal, Renske Gelderloos, Caroline Tang, Anshu Saksena, Larry White
Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points. CoRR (2023)
Corban G. Rivera, Katie M. Popek, Chace Ashcraft, Edward W. Staley, Kapil D. Katyal, Bart L. Paulhamus
Learning generalizable behaviors from demonstration. Frontiers Neurorobotics 16 (2022)
Corban G. Rivera, Chace Ashcraft, Alexander New, James Schmidt, Gautam Vallabha
Latent Properties of Lifelong Learning Systems. CoRR (2022)
Chace Ashcraft, Benjamin Stoler, Chigozie S. Ewulum, Susama Agarwala
Structural Similarity for Improved Transfer in Reinforcement Learning. CoRR (2022)
Nathan Drenkow, Alvin Tan, Chace Ashcraft, Kiran Karra
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity. CoRR (2022)
Erik C. Johnson, Eric Q. Nguyen, Blake Schreurs, Chigozie S. Ewulum, Chace Ashcraft, Neil M. Fendley, Megan M. Baker, Alexander New, Gautam K. Vallabha
L2Explorer: A Lifelong Reinforcement Learning Assessment Environment. CoRR (2022)
Kiran Karra, Chace Ashcraft, Cash Costello
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks. DASC/PiCom/CBDCom/CyberSciTech (2022)
Chace Ashcraft, Kiran Karra
Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers. CoRR (2021)
Chace Ashcraft, Kiran Karra
Machine Learning aided Crop Yield Optimization. CoRR (2021)
Kiran Karra, Chace Ashcraft
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks. CoRR (2021)
Edward W. Staley, Chace Ashcraft, Benjamin Stoler, Jared Markowitz, Gautam Vallabha, Christopher Ratto, Kapil D. Katyal
Meta Arcade: A Configurable Environment Suite for Meta-Learning. CoRR (2021)
Corban G. Rivera, Katie M. Popek, Chace Ashcraft, Edward W. Staley, Kapil D. Katyal, Bart L. Paulhamus
PICO: Primitive Imitation for COntrol. CoRR (2020)
Kiran Karra, Chace Ashcraft, Neil Fendley
The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models. CoRR (2020)
Chace Ashcraft, Michael A. Goodrich, Jacob W. Crandall
Moderating Operator Influence in Human-Swarm Systems. SMC (2019)
Jacob W. Crandall, Nathan Anderson, Chace Ashcraft, John R. Grosh, Jonah Henderson, Joshua McClellan, Aadesh Neupane, Michael A. Goodrich
Human-Swarm Interaction as Shared Control: Achieving Flexible Fault-Tolerant Systems. HCI (5) (2017)
Jeffrey Lund, Chace Ashcraft, Andrew W. McNabb, Kevin D. Seppi
Mrs: High Performance MapReduce for Iterative and Asynchronous Algorithms in Python. PyHPC@SC (2016)