Rintact: enabling computational analysis of molecular interaction data from the IntAct repository. - Tony Chiang; Nianhua Li; Sandra E. Orchard; Samuel Kerrien; Henning Hermjakob; Robert Gentleman; Wolfgang Huber (Bioinform., 2008)

Estimating node degree in bait-prey graphs. - Denise Scholtens; Tony Chiang; Wolfgang Huber; Robert Gentleman (Bioinform., 2008)

Variability sources and reliability of 3D - FeFETs. - Milan Pesic; Bastien Beltrando; Andrea Padovani; Shruba Gangopadhyay; Muthukumar Kaliappan; Michael Haverty; Marco A. Villena; Enrico Piccinini; Matteo Bertocchi; Tony Chiang; Luca Larcher; Jack Strand; et al. (IRPS, 2021)

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)

Minibatching Offers Improved Generalization Performance for Second Order Optimizers. - Eric Silk; Swarnita Chakraborty; Nairanjana Dasgupta; Anand D. Sarwate; Andrew Lumsdaine; Tony Chiang (CoRR, 2023)

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

Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks. - Sinjini Banerjee; Reilly Cannon; Tim Marrinan; Tony Chiang; Anand D. Sarwate (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)

Measuring model variability using robust non-parametric testing. - Sinjini Banerjee; Tim Marrinan; Reilly Cannon; Tony Chiang; Anand D. Sarwate (CoRR, 2024)

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

Assessing Generative Models for Structured Data. - Reilly Cannon; Nicolette M. Laird; Caesar Vazquez; Andy Lin; Amy Wagler; Tony Chiang (CoRR, 2025)

Token embeddings violate the manifold hypothesis. - Michael Robinson 001; Sourya Dey; Tony Chiang (CoRR, 2025)