A Game Theoretical Model of International Fishing with Time Delay. - Ferenc Szidarovszky; Andrew Engel; Carl Chiarella (IGTR, 2004)

An Integer Support Vector Machine. - Maryanne Domm; Andrew Engel; Peguy Pierre-Louis; Jeff Goldberg (SNPD, 2005)

TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models. - Andrew Engel; Zhichao Wang; Anand D. Sarwate; Sutanay Choudhury; Tony Chiang (CoRR, 2022)

Spectral Evolution and Invariance in Linear-width Neural Networks. - Zhichao Wang; Andrew Engel; Anand D. Sarwate; Ioana Dumitriu; Tony Chiang (NeurIPS, 2023)

Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models. - Andrew Engel; Zhichao Wang; Natalie S. Frank; Ioana Dumitriu; Sutanay Choudhury; Anand D. Sarwate; Tony Chiang (CoRR, 2023)

Exploring Learned Representations of Neural Networks with Principal Component Analysis. - Amit Harlev; Andrew Engel; Panos Stinis; Tony Chiang (CoRR, 2023)

Foundation Model's Embedded Representations May Detect Distribution Shift. - Adam Tsou; Max Vargas; Andrew Engel; Tony Chiang (CoRR, 2023)

Efficient kernel surrogates for neural network-based regression. - Saad Qadeer; Andrew Engel; Adam Tsou; Max Vargas; Panos Stinis; Tony Chiang (CoRR, 2023)

Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models. - Andrew Engel; Zhichao Wang; Natalie Frank; Ioana Dumitriu; Sutanay Choudhury; Anand D. Sarwate; Tony Chiang (ICLR, 2024)

Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model. - Andrew Engel; Gautham Narayan; Nell Byler (CoRR, 2024)

Understanding Generative AI Content with Embedding Models. - Max Vargas; Reilly Cannon; Andrew Engel; Anand D. Sarwate; Tony Chiang (CoRR, 2024)

Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation. - Andrew Engel; Nell Byler; Adam Tsou; Gautham Narayan; Emmanuel Bonilla; Ian Smith (CoRR, 2025)