David Antonio Gómez Jáuregui

Zakariae Belmekki, Jun Li, Patrick Reuter et al.

It has been observed that Convolutional Neural Networks (CNNs) suffer from redundancy in feature maps, leading to inefficient capacity utilization. Efforts to address this issue have largely focused on kernel orthogonality method. In this work, we theoretically and empirically demonstrate that kernel orthogonality does not necessarily lead to a reduction in feature map redundancy. Based on this analysis, we propose the Convolutional Similarity method to reduce feature map similarity, independently of the CNN's input. The Convolutional Similarity can be minimized as either a regularization term or an iterative initialization method. Experimental results show that minimizing Convolutional Similarity not only improves classification accuracy but also accelerates convergence. Furthermore, our method enables the use of significantly smaller models to achieve the same level of performance, promoting a more efficient use of model capacity. Future work will focus on coupling the iterative initialization method with the optimization momentum term and examining the method's impact on generative frameworks.

Monica Perusquía-Hernández, David Antonio Gómez Jáuregui, Marisabel Cuberos-Balda et al.

Current technologies have enabled us to track and quantify our physical state and behavior. Self-tracking aims to achieve increased awareness to decrease undesired behaviors and lead to a healthier lifestyle. However, inappropriately communicated self-tracking results might cause the opposite effect. In this work, we propose a subtle self-tracking feedback by mirroring the self's state into an artificial agent. By eliciting empathy towards the artificial agent and fostering helping behaviors, users would help themselves as well. Finally, we reflected on the implications of this design framework, and the methodology to design and implement it. A series of interviews to expert designers pointed out to the importance of having multidisciplinary teams working in parallel. Moreover, an agile methodology with a sprint zero for the initial design, and shifted user research, design, and implementation sprints were proposed. Similar systems with data flow and hardware dependencies would also benefit from the proposed agile design process.