Jeff Druce

发表

Defect triangulation via demixing algorithms based on dictionaries with different morphological complexity

Swayambhoo Jain, Mojtaba Kadkhodaie, Jeff Druce, 2016 .

Improving the Performance of Fine-Grain Image Classifiers via Generative Data Augmentation pdf

Jeff Druce, Stan German, Shashank Manjunath, 2020, ArXiv.

Agnostic Anomaly Detection Methodologies with Robust Inference Capability in Solid Media

Jeff Druce, 2016 .

Automatic Differentiation Equipped Variable Elimination for Sensitivity Analysis on Probabilistic Inference Queries

Jeff Druce, 2017 .

Privacy preserving Neural Network Inference on Encrypted Data with GPUs pdf

Jeff Druce, Curt Wu, Robert Podschwadt, 2019, ArXiv.

Structural Diagnostics via Anomaly-driven Demixing of Wavefield Data

Mojtaba Kadkhodaie, Jeff Druce, Stefano Gonella, 2015 .

Probabilistic Modeling of Insider Threat Detection Systems

Michael Howard, Brian E. Ruttenberg, Jeff Druce, 2017, GraMSec@CSF.

Locating material defects via wavefield demixing with morphologically germane dictionaries

Swayambhoo Jain, Mojtaba Kadkhodaie, Jeff Druce, 2017 .

Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations pdf

Brian E. Ruttenberg, Jeff Druce, Michael Harradon, 2018, ArXiv.

Predicting observable and occult injuries in trauma patients from sparse measurements

Jeff Druce, Nidhi Gupta, Max Metzger, 2018, AIH@IJCAI.

Explainable Artificial Intelligence (XAI) for Increasing User Trust in Deep Reinforcement Learning Driven Autonomous Systems pdf

Jeff Druce, James Tittle, Michael Harradon, 2021, ArXiv.

Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program pdf

Michael L. Littman, Jeff Druce, James Niehaus, 2021, ArXiv.