A light field sparse representation structure and its fast coding technique. - Jie Chen 026; Alexander Matyasko; Lap-Pui Chau (DSP, 2014)

Margin maximization for robust classification using deep learning. - Alexander Matyasko; Lap-Pui Chau (IJCNN, 2017)

Improved Network Robustness with Adversary Critic. - Alexander Matyasko; Lap-Pui Chau (NeurIPS, 2018)

PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack. - Alexander Matyasko; Lap-Pui Chau (CoRR, 2021)

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)

Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion. - Ishaan Singh Rawal; Alexander Matyasko; Shantanu Jaiswal; Basura Fernando; Cheston Tan (ICML, 2024)

Enhanced Physics-Informed Neural Networks with Optimized Sensor Placement via Multi-Criteria Adaptive Sampling. - Chenhong Zhou; Jie Chen 026; Zaifeng Yang; Alexander Matyasko; Ching Eng Png (IJCNN, 2024)

Zero Shot Open-ended Video Inference. - Ee Yeo Keat; Hao Zhang 047; Alexander Matyasko; Basura Fernando (CoRR, 2024)

Deduce and Select Evidences with Language Models for Training-Free Video Goal Inference. - Ee Yeo Keat; Hao Zhang 047; Alexander Matyasko; Basura Fernando (WACV, 2025)