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07/30/2022
Traveler: Navigating Task Parallel Traces for Performance Analysis
Understanding the behavior of software in execution is a key step in ide...
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11/02/2021
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data
Projection techniques are often used to visualize high-dimensional data,...
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10/18/2021
Comparing Deep Neural Nets with UMAP Tour
Neural networks should be interpretable to humans. In particular, there ...
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09/01/2021
STFT-LDA: An Algorithm to Facilitate the Visual Analysis of Building Seismic Responses
Civil engineers use numerical simulations of a building's responses to s...
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08/08/2021
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models
The interpretation of deep neural networks (DNNs) has become a key topic...
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02/25/2020
Problems with Shapley-value-based explanations as feature importance measures
Game-theoretic formulations of feature importance have become popular as...
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07/05/2019
Anteater: Interactive Visualization for Program Understanding
Understanding and debugging long, complex programs can be extremely diff...
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06/20/2019
Disentangling Influence: Using Disentangled Representations to Audit Model Predictions
Motivated by the need to audit complex and black box models, there has b...
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02/09/2019
Assessing the Local Interpretability of Machine Learning Models
The increasing adoption of machine learning tools has led to calls for a...
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01/28/2019
Fairness in representation: quantifying stereotyping as a representational harm
While harms of allocation have been increasingly studied as part of the ...
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08/27/2018
NNCubes: Learned Structures for Visual Data Exploration
Visual exploration of large multidimensional datasets has seen tremendou...
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06/22/2018
Homology-Preserving Dimensionality Reduction via Manifold Landmarking and Tearing
Dimensionality reduction is an integral part of data visualization. It i...
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02/13/2018
A comparative study of fairness-enhancing interventions in machine learning
Computers are increasingly used to make decisions that have significant ...
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12/15/2017
Driving Interactive Graph Exploration Using 0-Dimensional Persistent Homology Features
Graphs are commonly used to encode relationships among entities, yet, th...
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10/03/2017
DimReader: Using auto-differentiation to explain non-linear projections
Non-linear dimensionality reduction (NDR) methods such as LLE and t-SNE ...
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07/20/2017
Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology
Topological data analysis is an emerging area in exploratory data analys...
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06/29/2017
Runaway Feedback Loops in Predictive Policing
Predictive policing systems are increasingly used to determine how to al...
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09/23/2016
On the (im)possibility of fairness
What does it mean for an algorithm to be fair? Different papers use diff...
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02/23/2016
Auditing Black-box Models for Indirect Influence
Data-trained predictive models see widespread use, but for the most part...
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12/11/2014
