Ching Yun Ko

Orcid: 0000-0002-8966-8570

According to our database¹, Ching Yun Ko authored at least 22 papers between 2018 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2023

Sample-Specific Debiasing for Better Image-Text Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2023

Visual Pre-Training for Navigation: What Can We Learn from Noise?

[BibT_eX]

[DOI]

Yanwei Wang

Ching-Yun Ko

Pulkit Agrawal

IROS, 2023

2022

SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data.

[BibT_eX]

[DOI]

CoRR, 2022

Visual Pre-training for Navigation: What Can We Learn from Noise?

[BibT_eX]

[DOI]

Yanwei Wang

Ching-Yun Ko

CoRR, 2022

Facile Prediction of Neutrophil Activation State from Microscopy Images: A New Dataset and Comparative Deep Learning Approaches.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Hidden Cost of Randomized Smoothing.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Rethinking Randomized Smoothing for Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2020

HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression.

[BibT_eX]

[DOI]

CoRR, 2020

Higher-Order Certification For Randomized Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fastened CROWN: Tightened Neural Network Robustness Certificates.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

POPQORN: Quantifying Robustness of Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

A Support Tensor Train Machine.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Matrix Product Operator Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

MiSC: Mixed Strategies Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

POPQORN: Quantifying Robustness of Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Extended Kalman Filtering with Low-Rank Tensor Networks for MIMO Volterra System Identification.

[BibT_eX]

[DOI]

Kim Batselier

Ching-Yun Ko

Ngai Wong

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Deep Compression of Sum-Product Networks on Tensor Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Fast and Accurate Tensor Completion with Tensor Trains: A System Identification Approach.

[BibT_eX]

[DOI]

CoRR, 2018

Tensor network subspace identification of polynomial state space models.

[BibT_eX]

[DOI]

Kim Batselier

Ching Yun Ko

Ngai Wong

Autom., 2018

Ching Yun Ko

Timeline

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On csauthors.net:

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