Alexander Matyasko

According to our database, Alexander Matyasko authored at least 8 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Zero Shot Open-ended Video Inference.

Ee Yeo Keat, Zhang Hao, Alexander Matyasko, Basura Fernando

CoRR, 2024

Enhanced Physics-Informed Neural Networks with Optimized Sensor Placement via Multi-Criteria Adaptive Sampling.

Chenhong Zhou, Jie Chen, Zaifeng Yang, Alexander Matyasko, Ching Eng Png

Proceedings of the International Joint Conference on Neural Networks, 2024

Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion.

Ishaan Singh Rawal, Alexander Matyasko, Shantanu Jaiswal, Basura Fernando, Cheston Tan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy.

Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio

Neural Networks, 2022

2021

PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack.

Alexander Matyasko, Lap-Pui Chau

CoRR, 2021

2018

Improved Network Robustness with Adversary Critic.

Alexander Matyasko, Lap-Pui Chau

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Margin maximization for robust classification using deep learning.

Alexander Matyasko, Lap-Pui Chau

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2014

A light field sparse representation structure and its fast coding technique.

Jie Chen, Alexander Matyasko, Lap-Pui Chau

Proceedings of the 19th International Conference on Digital Signal Processing, 2014