Hassan Foroosh

Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization

2019 · arXiv (Cornell University)

The most important obstacles facing multi-document summarization include excessive redundancy in source descriptions and the looming shortage of training data. These obstacles prevent encoder-decoder models from being used directly, but optimization-based methods such as determinantal …

Rediscovering Deep Neural Networks Through Finite-State Distributions

2018 · arXiv (Cornell University)

We propose a new way of thinking about deep neural networks, in which the linear and non-linear components of the network are naturally derived and justified in terms of principles in probability theory. In particular, …