3 papers
cs.CV2024
On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples
Pk Douglas, Farzad Vasheghani Farahani
The increasing use of deep neural networks (DNNs) has motivated a parallel endeavor: the design of adversaries that profit from successful misclassifications. However, not all adve…
cs.SI2024
Triadic Temporal Exponential Random Graph Models (TTERGM)
Yifan Huang, Clayton Barham, Eric Page +1
Temporal exponential random graph models (TERGM) are powerful statistical models that can be used to infer the temporal pattern of edge formation and elimination in complex network…
cs.RO2024
Visual Episodic Memory-based Exploration
Jack Vice, Natalie Ruiz-Sanchez, Pamela K. Douglas +1
In humans, intrinsic motivation is an important mechanism for open-ended cognitive development; in robots, it has been shown to be valuable for exploration. An important aspect of…