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Ching-Yun Ko
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POPQORN: Quantifying robustness of recurrent neural networks
CY Ko, Z Lyu, L Weng, L Daniel, N Wong, D Lin
International Conference on Machine Learning, 3468-3477, 2019
1192019
Fastened crown: Tightened neural network robustness certificates
Z Lyu, CY Ko, Z Kong, N Wong, D Lin, L Daniel
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5037-5044, 2020
742020
Fast and accurate tensor completion with total variation regularized tensor trains
CY Ko, K Batselier, L Daniel, W Yu, N Wong
IEEE Transactions on Image Processing 29, 6918-6931, 2020
71*2020
Higher-order certification for randomized smoothing
J Mohapatra, CY Ko, TW Weng, PY Chen, S Liu, L Daniel
Advances in Neural Information Processing Systems 33, 4501-4511, 2020
472020
Hidden cost of randomized smoothing
J Mohapatra, CY Ko, L Weng, PY Chen, S Liu, L Daniel
International Conference on Artificial Intelligence and Statistics, 4033-4041, 2021
37*2021
A support tensor train machine
C Chen, K Batselier, CY Ko, N Wong
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
322019
Tensor network subspace identification of polynomial state space models
K Batselier, CY Ko, N Wong
Automatica 95, 187-196, 2018
252018
Revisiting contrastive learning through the lens of neighborhood component analysis: an integrated framework
CY Ko, J Mohapatra, S Liu, PY Chen, L Daniel, L Weng
International Conference on Machine Learning, 11387-11412, 2022
152022
Deep model compression and inference speedup of sum–product networks on tensor trains
CY Ko, C Chen, Z He, Y Zhang, K Batselier, N Wong
IEEE Transactions on Neural Networks and Learning Systems 31 (7), 2665-2671, 2019
9*2019
On robustness-accuracy characterization of large language models using synthetic datasets
CY Ko, PY Chen, P Das, YS Chuang, L Daniel
ES-FoMo: Efficient Systems for Foundation Models Workshop at the 40th …, 2023
62023
Misc: Mixed strategies crowdsourcing
CY Ko, R Lin, S Li, N Wong
Proceedings of the 28th International Joint Conference on Artificial …, 2019
62019
Visual pre-training for navigation: What can we learn from noise?
Y Wang, CY Ko, P Agrawal
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
52023
Multilinear state space system identification with matrix product operators
K Batselier, CY Ko, AH Phan, A Cichocki, N Wong
IFAC-PapersOnLine 51 (15), 640-645, 2018
52018
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
CY Ko, PY Chen, P Das, J Mohapatra, L Daniel
Forty-first International Conference on Machine Learning, 2024
4*2024
Extended Kalman filtering with low-rank tensor networks for MIMO volterra system identification
K Batselier, CY Ko, N Wong
2019 IEEE 58th Conference on Decision and Control (CDC), 7148-7153, 2019
42019
Attention tracker: Detecting prompt injection attacks in llms
KH Hung, CY Ko, A Rawat, I Chung, WH Hsu, PY Chen
arXiv preprint arXiv:2411.00348, 2024
32024
Matrix product operator restricted Boltzmann machines
C Chen, K Batselier, CY Ko, N Wong
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
32019
STAR: Spectral Truncation and Rescale for Model Merging
YA Lee, CY Ko, T Pedapati, I Chung, MY Yeh, PY Chen
arXiv preprint arXiv:2502.10339, 2025
2025
MemReasoner: A Memory-augmented LLM Architecture for Multi-hop Reasoning
CY Ko, S Dai, P Das, G Kollias, S Chaudhury, A Lozano
The First Workshop on System-2 Reasoning at Scale, NeurIPS'24, 2024
2024
Understanding and Improving Training-Free AI-Generated Image Detections with Vision Foundation Models
CT Tsai, CY Ko, I Chung, YCF Wang, PY Chen
arXiv preprint arXiv:2411.19117, 2024
2024
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Artikler 1–20