Tony Chiang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 12

Top Topics

Principal Component Analysis

Hypothesis Test

Top Venues

Publications

Andrew Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models. ICLR (2024)
Sinjini Banerjee, Tim Marrinan, Reilly Cannon, Tony Chiang, Anand D. Sarwate
Measuring model variability using robust non-parametric testing. CoRR (2024)
Amit Harlev, Andrew Engel, Panos Stinis, Tony Chiang
Exploring Learned Representations of Neural Networks with Principal Component Analysis. CoRR (2023)
Saad Qadeer, Andrew Engel, Adam Tsou, Max Vargas, Panos Stinis, Tony Chiang
Efficient kernel surrogates for neural network-based regression. CoRR (2023)
Sinjini Banerjee, Reilly Cannon, Tim Marrinan, Tony Chiang, Anand D. Sarwate
Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks. CoRR (2023)
Eric Silk, Swarnita Chakraborty, Nairanjana Dasgupta, Anand D. Sarwate, Andrew Lumsdaine, Tony Chiang
Minibatching Offers Improved Generalization Performance for Second Order Optimizers. CoRR (2023)
Adam Tsou, Max Vargas, Andrew Engel, Tony Chiang
Foundation Model's Embedded Representations May Detect Distribution Shift. CoRR (2023)
Andrew Engel, Zhichao Wang, Natalie S. Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang
Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models. CoRR (2023)
Zhichao Wang, Andrew Engel, Anand D. Sarwate, Ioana Dumitriu, Tony Chiang
Spectral Evolution and Invariance in Linear-width Neural Networks. NeurIPS (2023)
Zhichao Wang, Andrew Engel, Anand D. Sarwate, Ioana Dumitriu, Tony Chiang
Spectral evolution and invariance in linear-width neural networks. CoRR (2022)
Andrew Engel, Zhichao Wang, Anand D. Sarwate, Sutanay Choudhury, Tony Chiang
TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models. CoRR (2022)
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, Alexander L. Shluger
Variability sources and reliability of 3D - FeFETs. IRPS (2021)
Denise Scholtens, Tony Chiang, Wolfgang Huber, Robert Gentleman
Estimating node degree in bait-prey graphs. Bioinform. 24 (2) (2008)
Tony Chiang, Nianhua Li, Sandra E. Orchard, Samuel Kerrien, Henning Hermjakob, Robert Gentleman, Wolfgang Huber
Rintact: enabling computational analysis of molecular interaction data from the IntAct repository. Bioinform. 24 (8) (2008)