Daniel Reichman

The Computational Challenges of Pursuing Multiple Goals: Network Structure of Goal Systems Predicts Human Performance

Thomas L. Griffiths, Falk Lieder, Nimrod Talmon, 2018 .

Data Augmentation in feature-space with Generative Adversarial Networks, applied to GPR-based Buried Threat Detection

Jordan M. Malof, Leslie M. Collins, Daniel Reichman, 2019 .

Tight Hardness Results for Training Depth-2 ReLU Networks pdf

Pasin Manurangsi, Adam R. Klivans, Surbhi Goel, 2020, ITCS.

Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations pdf

Jordan M. Malof, Leslie M. Collins, Kyle Bradbury, 2018, 1805.12219.

On The Extraction of Training Imagery from Very Large Remote Sensing Datasets for Deep Convolutional Segmenatation Networks

Jordan M. Malof, Leslie M. Collins, Kyle Bradbury, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

gprHOG: Several Simple Improvements to the Histogram of Oriented Gradients Feature for Threat Detection in Ground-Penetrating Radar pdf

Jordan M. Malof, Leslie M. Collins, Daniel Reichman, 2018, ArXiv.

Parallel Memory Permissions and Their Application

Daniel Reichman, 2017 .

On Percolation and NP-Hardness

Igor Shinkar, Daniel Reichman, 2015, Electron. Colloquium Comput. Complex..

Cognitive Model Priors for Predicting Human Decisions pdf

Thomas L. Griffiths, Stuart J. Russell, Joshua C. Peterson, 2019, ICML.