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Giulio Lovisotto

2 accepted papers

2024

Long Range Propagation on Continuous-Time Dynamic Graphs

ICML 2024poster

Learning Continuous-Time Dynamic Graphs (C-TDGs) requires accurately modeling spatio-temporal information on streams of irregularly sampled events. While many methods have been proposed recently, we find that most message passing-, recurrent- or self-attention-based methods perform poorly on *long-r…

2022

Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness

CVPR 2022poster

Neural architectures based on attention such as vision transformers are revolutionizing image recognition. Their main benefit is that attention allows reasoning about all parts of a scene jointly. In this paper, we show how the global reasoning of (scaled) dot-product attention can be the source of…

Cited by 47PDFScholar