263 citations · 630 across the 17 of their papers we have counts for
17 papers
Data-Driven Approaches to Searches for the Technosignatures of Advanced Civilizations
T. Joseph W. Lazio, S. G. Djorgovski, Andrew Howard +19
Humanity has wondered whether we are alone for millennia. The discovery of life elsewhere in the Universe, particularly intelligent life, would have profound effects, comparable to…
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
Mario Krenn, Lorenzo Buffoni, Bruno Coutinho +13
A tool that could suggest new personalized research directions and ideas by taking insights from the scientific literature could significantly accelerate the progress of science. A…
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
Bernard Koch, Emily Denton, Alex Hanna +1
Benchmark datasets play a central role in the organization of machine learning research. They coordinate researchers around shared research problems and serve as a measure of progr…
A Primer on Deep Learning for Causal Inference
Bernard Koch, Tim Sainburg, Pablo Geraldo +3
This review systematizes the emerging literature for causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction on ho…
Integrating topic modeling and word embedding to characterize violent deaths
Alina Arseniev-Koehler, Susan D. Cochran, Vickie M. Mays +2
There is an escalating need for methods to identify latent patterns in text data from many domains. We introduce a new method to identify topics in a corpus and represent documents…
Adapting Coreference Resolution for Processing Violent Death Narratives
Ankith Uppunda, Susan D. Cochran, Jacob G. Foster +3
Coreference resolution is an important component in analyzing narrative text from administrative data (e.g., clinical or police sources). However, existing coreference models train…