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Tony Chiang
Tony Chiang
Advanced Research Projects Agency for Health
E-mailová adresa ověřena na: alum.mit.edu - Domovská stránka
Název
Citace
Citace
Rok
Coverage and error models of protein-protein interaction data by directed graph analysis
T Chiang, D Scholtens, D Sarkar, R Gentleman, W Huber
Genome biology 8, 1-14, 2007
582007
Multimodal analysis for human ex vivo studies shows extensive molecular changes from delays in blood processing
AK Savage, MV Gutschow, T Chiang, K Henderson, R Green, ...
Iscience 24 (5), 2021
232021
Estimating node degree in bait-prey graphs
D Scholtens, T Chiang, W Huber, R Gentleman
Bioinformatics 24 (2), 218-224, 2008
232008
Spectral evolution and invariance in linear-width neural networks
Z Wang, A Engel, AD Sarwate, I Dumitriu, T Chiang
Advances in Neural Information Processing Systems 36, 2024
182024
A general pipeline for quality and statistical assessment of protein interaction data using R and Bioconductor
T Chiang, D Scholtens
Nature Protocols 4 (4), 535-546, 2009
172009
Rintact: enabling computational analysis of molecular interaction data from the IntAct repository
T Chiang, N Li, S Orchard, S Kerrien, H Hermjakob, R Gentleman, ...
Bioinformatics 24 (8), 1100-1101, 2008
102008
Efficient kernel surrogates for neural network-based regression
S Qadeer, A Engel, A Howard, A Tsou, M Vargas, P Stinis, T Chiang
arXiv preprint arXiv:2310.18612, 2023
52023
Faithful and efficient explanations for neural networks via neural tangent kernel surrogate models
A Engel, Z Wang, NS Frank, I Dumitriu, S Choudhury, A Sarwate, ...
arXiv preprint arXiv:2305.14585, 2023
52023
Torchntk: A library for calculation of neural tangent kernels of pytorch models
A Engel, Z Wang, AD Sarwate, S Choudhury, T Chiang
arXiv preprint arXiv:2205.12372, 2022
52022
The conjugate kernel for efficient training of physics-informed deep operator networks
AA Howard, S Qadeer, AW Engel, A Tsou, M Vargas, T Chiang, P Stinis
ICLR 2024 Workshop on AI4DifferentialEquations In Science, 0
4
Measuring model variability using robust non-parametric testing
S Banerjee, T Marrinan, R Cannon, T Chiang, AD Sarwate
arXiv preprint arXiv:2406.08307, 2024
22024
Computational and systems biology advances to enable bioagent agnostic signatures
A Lin, CM Torres, EC Hobbs, J Bardhan, SB Aley, CT Spencer, KL Taylor, ...
Health security 22 (2), 130-139, 2024
12024
Foundation Model's Embedded Representations May Detect Distribution Shift
M Vargas, A Tsou, A Engel, T Chiang
arXiv preprint arXiv:2310.13836, 2023
12023
Robust explanations for deep neural networks via pseudo neural tangent kernel surrogate models
A Engel, Z Wang, NS Frank, I Dumitriu, S Choudhury, A Sarwate, ...
arXiv preprint arXiv:2305.14585, 2023
12023
Understanding Generative AI Content with Embedding Models
M Vargas, R Cannon, A Engel, AD Sarwate, T Chiang
arXiv preprint arXiv:2408.10437, 2024
2024
Computational and Systems Biology Advances to Enable Bioagent Agnostic Signatures
A Lin, C Torres, E Hobbs, J Bardhan, S Aley, C Spencer, K Taylor, ...
Health Security, 2024
2024
Report on Pure Mathematics of Machine Learning
TY Chiang, AW Engel, S Qadeer, M Vargas, S Choudhury, P Stinis
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), 2023
2023
pnnl/projection_ntk
K Georgiev, A Engel, S Park, G Leclerc, A Ilyas, B Cohen-Wang, G Tanadi, ...
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), 2023
2023
Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks
S Banerjee, R Cannon, T Marrinan, T Chiang, AD Sarwate
arXiv preprint arXiv:2310.00541, 2023
2023
Exploring Learned Representations of Neural Networks with Principal Component Analysis
A Harlev, A Engel, P Stinis, T Chiang
arXiv preprint arXiv:2309.15328, 2023
2023
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Články 1–20