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Arvind Satyanarayan

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What is a Fair Diffusion Model? Designing Generative Text-To-Image Models to Incorporate Various Worldviews

Sep 18, 2023
Zoe De Simone, Angie Boggust, Arvind Satyanarayan, Ashia Wilson

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VisText: A Benchmark for Semantically Rich Chart Captioning

Jun 28, 2023
Benny J. Tang, Angie Boggust, Arvind Satyanarayan

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Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods

Jun 07, 2022
Angie Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan

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Teaching Humans When To Defer to a Classifier via Examplars

Nov 22, 2021
Hussein Mozannar, Arvind Satyanarayan, David Sontag

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LMdiff: A Visual Diff Tool to Compare Language Models

Nov 02, 2021
Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann

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Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content

Oct 08, 2021
Alan Lundgard, Arvind Satyanarayan

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Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment

Jul 20, 2021
Angie Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt

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Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs

Feb 17, 2021
Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan

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Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs

Jan 24, 2021
Harini Suresh, Steven R. Gomez, Kevin K. Nam, Arvind Satyanarayan

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Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples

Dec 10, 2019
Angie Boggust, Brandon Carter, Arvind Satyanarayan

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