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2020 – today
- 2024
[c5]Ishaan Singh Rawal, Alexander Matyasko, Shantanu Jaiswal, Basura Fernando, Cheston Tan:
Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion. ICML 2024- [c4]Chenhong Zhou, Jie Chen, Zaifeng Yang, Alexander Matyasko, Ching Eng Png:
Enhanced Physics-Informed Neural Networks with Optimized Sensor Placement via Multi-Criteria Adaptive Sampling. IJCNN 2024: 1-8 - [i3]Ee Yeo Keat, Zhang Hao, Alexander Matyasko, Basura Fernando:
Zero Shot Open-ended Video Inference. CoRR abs/2401.12471 (2024) - 2022
- [j1]Alex Lamb, Vikas Verma
, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio:
Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. Neural Networks 154: 218-233 (2022) - 2021
- [i2]Alexander Matyasko, Lap-Pui Chau:
PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack. CoRR abs/2106.01538 (2021)
2010 – 2019
- 2018
- [c3]Alexander Matyasko, Lap-Pui Chau:
Improved Network Robustness with Adversary Critic. NeurIPS 2018: 10601-10610 - [i1]Alexander Matyasko, Lap-Pui Chau:
Improved Network Robustness with Adversary Critic. CoRR abs/1810.12576 (2018) - 2017
- [c2]Alexander Matyasko, Lap-Pui Chau:
Margin maximization for robust classification using deep learning. IJCNN 2017: 300-307 - 2014
- [c1]Jie Chen, Alexander Matyasko, Lap-Pui Chau:
A light field sparse representation structure and its fast coding technique. DSP 2014: 214-218
Coauthor Index
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