Tony Chiang

According to our database1, Tony Chiang authored at least 11 papers between 2008 and 2023.

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Bibliography

2023
Efficient kernel surrogates for neural network-based regression.
CoRR, 2023

Foundation Model's Embedded Representations May Detect Distribution Shift.
CoRR, 2023

Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks.
CoRR, 2023

Exploring Learned Representations of Neural Networks with Principal Component Analysis.
CoRR, 2023

Minibatching Offers Improved Generalization Performance for Second Order Optimizers.
CoRR, 2023

Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models.
CoRR, 2023

Spectral Evolution and Invariance in Linear-width Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models.
CoRR, 2022

2021
Variability sources and reliability of 3D - FeFETs.
Proceedings of the IEEE International Reliability Physics Symposium, 2021

2008
Estimating node degree in bait-prey graphs.
Bioinform., 2008

Rintact: enabling computational analysis of molecular interaction data from the IntAct repository.
Bioinform., 2008


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