Search Results for author: James Evans

Found 13 papers, 2 papers with code

Aligning Multidimensional Worldviews and Discovering Ideological Differences

no code implementations EMNLP 2021 Jeremiah Milbauer, Adarsh Mathew, James Evans

The Internet is home to thousands of communities, each with their own unique worldview and associated ideological differences.

Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders

no code implementations13 Apr 2021 Brendan Chambers, James Evans

Finally, with the goal of leveraging contextual representations from deep encoders, we present a range of measurements for understanding and forecasting research communities in science.

Natural Language Understanding Word Embeddings

Accelerating science with human versus alien artificial intelligences

no code implementations12 Apr 2021 Jamshid Sourati, James Evans

These AI approaches typically ignore the distribution of human prediction engines -- scientists and inventor -- who continuously alter the landscape of discovery and invention.

Information Lattice Learning

no code implementations1 Jan 2021 Haizi Yu, James Evans, Lav R. Varshney

ILL focuses on explainability and generalizability from "small data", and aims for rules akin to those humans distill from experience (rather than a representation optimized for a specific task like classification).

Long-range Event-level Prediction and Response Simulation for Urban Crime and Global Terrorism with Granger Networks

no code implementations4 Nov 2019 Timmy Li, Yi Huang, James Evans, Ishanu Chattopadhyay

Large-scale trends in urban crime and global terrorism are well-predicted by socio-economic drivers, but focused, event-level predictions have had limited success.

Science and Technology Advance through Surprise

no code implementations18 Oct 2019 Feng Shi, James Evans

Breakthrough discoveries and inventions involve unexpected combinations of contents including problems, methods, and natural entities, and also diverse contexts such as journals, subfields, and conferences.

Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds

no code implementations6 Sep 2018 Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans

Inspired by recent interests of developing machine learning and data mining algorithms on hypergraphs, we investigate in this paper the semi-supervised learning algorithm of propagating "soft labels" (e. g. probability distributions, class membership scores) over hypergraphs, by means of optimal transportation.

Curvature of Hypergraphs via Multi-Marginal Optimal Transport

no code implementations22 Mar 2018 Shahab Asoodeh, Tingran Gao, James Evans

We introduce a novel definition of curvature for hypergraphs, a natural generalization of graphs, by introducing a multi-marginal optimal transport problem for a naturally defined random walk on the hypergraph.

Adaptive Sampling for Coarse Ranking

1 code implementation20 Feb 2018 Sumeet Katariya, Lalit Jain, Nandana Sengupta, James Evans, Robert Nowak

We consider the problem of active coarse ranking, where the goal is to sort items according to their means into clusters of pre-specified sizes, by adaptively sampling from their reward distributions.

The Wisdom of Polarized Crowds

no code implementations29 Nov 2017 Feng Shi, Misha Teplitskiy, Eamon Duede, James Evans

Our analysis then reveals that polarized teams---those consisting of a balanced set of politically diverse editors---create articles of higher quality than politically homogeneous teams.

Misinformation

Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections

1 code implementation EMNLP 2015 Jingwei Zhang, Aaron Gerow, Jaan Altosaar, James Evans, Richard Jean So

Weak topic correlation across document collections with different numbers of topics in individual collections presents challenges for existing cross-collection topic models.

Topic Models

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