Tsui-Wei Weng
Tsui-Wei Weng
確認したメール アドレス: mit.edu - ホームページ
タイトル引用先
Evaluating the robustness of neural networks: An extreme value theory approach
TW Weng, H Zhang, PY Chen, J Yi, D Su, Y Gao, CJ Hsieh, L Daniel
arXiv preprint arXiv:1801.10578, 2018
472018
Synthesis model and design of a common-mode bandstop filter (CM-BSF) with an all-pass characteristic for high-speed differential signals
TW Weng, CH Tsai, CH Chen, DH Han, TL Wu
IEEE Transactions on Microwave Theory and Techniques 62 (8), 1647-1656, 2014
422014
Towards fast computation of certified robustness for relu networks
TW Weng, H Zhang, H Chen, Z Song, CJ Hsieh, D Boning, IS Dhillon, ...
arXiv preprint arXiv:1804.09699, 2018
402018
Uncertainty quantification of silicon photonic devices with correlated and non-Gaussian random parameters
TW Weng, Z Zhang, Z Su, Y Marzouk, A Melloni, L Daniel
Optics express 23 (4), 4242-4254, 2015
342015
Stochastic simulation and robust design optimization of integrated photonic filters
TW Weng, D Melati, AI Melloni, L Daniel
182017
Big-data tensor recovery for high-dimensional uncertainty quantification of process variations
Z Zhang, TW Weng, L Daniel
IEEE Transactions on Components, Packaging and Manufacturing Technology 7 (5 …, 2016
182016
Efficient neural network robustness certification with general activation functions
H Zhang, TW Weng, PY Chen, CJ Hsieh, L Daniel
Advances in Neural Information Processing Systems, 4939-4948, 2018
122018
A big-data approach to handle process variations: Uncertainty quantification by tensor recovery
Z Zhang, TW Weng, L Daniel
2016 IEEE 20th Workshop on Signal and Power Integrity (SPI), 1-4, 2016
62016
Cnn-cert: An efficient framework for certifying robustness of convolutional neural networks
A Boopathy, TW Weng, PY Chen, S Liu, L Daniel
arXiv preprint arXiv:1811.12395, 2018
32018
Optimal finite-sum smooth non-convex optimization with SARAH
LM Nguyen, M van Dijk, DT Phan, PH Nguyen, TW Weng, ...
arXiv preprint arXiv:1901.07648, 2019
22019
Fast stochastic simulation of silicon waveguide with non-gaussian correlated process variations
TW Weng, Z Zhang, Z Su, L Daniel
Asia Communications and Photonics Conference, AF3B. 7, 2014
22014
A big-data approach to handle many process variations: Tensor recovery and applications
Z Zhang, TW Weng, L Daniel
arXiv preprint arXiv:1611.02256, 2016
12016
Filtering device with slotted ground structure
TL Wu, TW Weng, CY Hsiao
US Patent App. 13/714,704, 2014
12014
Hyperbolic expressions of polynomial sequences and parametric number sequences defined by linear recurrence relations of order 2
TX He, PJS Shiue, TW Weng
12012
Sequences of numbers meet the generalized Gegenbauer-Humbert polynomials
TX He, PJS Shiue, TW Weng
ISRN Discrete Mathematics 2011, 2011
12011
POPQORN: Quantifying Robustness of Recurrent Neural Networks
CY Ko, Z Lyu, TW Weng, L Daniel, N Wong, D Lin
arXiv preprint arXiv:1905.07387, 2019
2019
Finite-Sum Smooth Optimization with SARAH
LM Nguyen, M van Dijk, DT Phan, PH Nguyen, TW Weng, ...
def 1, 1, 2019
2019
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach
TW Weng, PY Chen, LM Nguyen, MS Squillante, I Oseledets, L Daniel
arXiv preprint arXiv:1812.08329, 2018
2018
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm
TW Weng, H Zhang, PY Chen, A Lozano, CJ Hsieh, L Daniel
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
2018
Stochastic Optimization of Photonic Circuits by Combined Generalized Polynomial Chaos Model
D Melati, TW Weng, L Daniel, A Melloni
Signal Processing in Photonic Communications, JTu4A. 9, 2016
2016
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