Laurent Itti

Detecting "Smart" Spammers on Social Network: A Topic Model Approach

2016

Spammer detection on social network is a challenging problem. The rigid anti-spam rules have resulted in emergence of "smart" spammers. They resemble legitimate users who are difficult to identify. In this paper, we present a …

Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization

2021 · arXiv (Cornell University)

We focus on controllable disentangled representation learning (C-Dis-RL), where users can control the partition of the disentangled latent space to factorize dataset attributes (concepts) for downstream tasks. Two general problems remain under-explored in current methods: …

Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks

2025 · arXiv (Cornell University)

The neurons of artificial neural networks were originally invented when much less was known about biological neurons than is known today. Our work explores a modification to the core neuron unit to make it more …