Efficient Bayesian Detection of Disease Onset in Truncated Medical Data. - Bob Price; Lottie Price; Dylan Cashman; Marzieh Nabi (ICHI, 2017)

RNNbow: Visualizing Learning Via Backpropagation Gradients in RNNs. - Dylan Cashman; Genevieve Patterson; Abigail Mosca; Nathan Watts; Shannon Robinson; Remco Chang (IEEE Computer Graphics and Applications, 2018)

NNCubes: Learned Structures for Visual Data Exploration. - Zhe Wang; Dylan Cashman; Mingwei Li; Jixian Li; Matthew Berger; Joshua A. Levine; Remco Chang; Carlos Scheidegger (CoRR, 2018)

Visual Analytics for Automated Model Discovery. - Dylan Cashman; Shah Rukh Humayoun; Florian Heimerl; Kendall Park; Subhajit Das 002; John Thompson 002; Bahador Saket; Abigail Mosca; John T. Stasko; Alex Endert; Michael Gleicher; Remco Chang (CoRR, 2018)

Defining an Analysis: A Study of Client-Facing Data Scientists. - Abigail Mosca; Shannon Robinson; Meredith Clarke; Rebecca Redelmeier; Sebastian Coates; Dylan Cashman; Remco Chang (EuroVis (Short Papers), 2019)

BEAMES: Interactive Multimodel Steering, Selection, and Inspection for Regression Tasks. - Subhajit Das 002; Dylan Cashman; Remco Chang; Alex Endert (IEEE Computer Graphics and Applications, 2019)

A User-based Visual Analytics Workflow for Exploratory Model Analysis. - Dylan Cashman; Shah Rukh Humayoun; Florian Heimerl; Kendall Park; Subhajit Das 002; John Thompson 002; Bahador Saket; Abigail Mosca; John T. Stasko; Alex Endert; Michael Gleicher; Remco Chang (Comput. Graph. Forum, 2019)

RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks. - Dylan Cashman; Genevieve Patterson; Abigail Mosca; Nathan Watts; Shannon Robinson; Remco Chang (CoRR, 2019)

Gaggle: Visual Analytics for Model Space Navigation. - Subhajit Das 002; Dylan Cashman; Remco Chang; Alex Endert (Graphics Interface, 2020)

Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures. - Dylan Cashman; Adam Perer; Remco Chang; Hendrik Strobelt (IEEE Trans. Vis. Comput. Graph., 2020)

NeuralCubes: Deep Representations for Visual Data Exploration. - Zhe Wang; Dylan Cashman; Mingwei Li; Jixian Li; Matthew Berger; Joshua A. Levine; Remco Chang; Carlos Scheidegger (IEEE BigData, 2021)

Communicating Performance of Regression Models Using Visualization in Pharmacovigilance. - Ashley Suh 001; Gabriel Appleby; Erik W. Anderson; Luca A. Finelli; Dylan Cashman (VAHC, 2021)

CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs. - Dylan Cashman; Shenyu Xu; Subhajit Das 002; Florian Heimerl; Cong Liu; Shah Rukh Humayoun; Michael Gleicher; Alex Endert; Remco Chang (IEEE Trans. Vis. Comput. Graph., 2021)

Inferential Tasks as an Evaluation Technique for Visualization. - Ashley Suh 001; Abigail Mosca; Shannon Robinson; Quinn Pham; Dylan Cashman; Alvitta Ottley; Remco Chang (EuroVis (Short Papers), 2022)

Visualization Guidelines for Model Performance Communication Between Data Scientists and Subject Matter Experts. - Ashley Suh 001; Gabriel Appleby; Erik W. Anderson; Luca A. Finelli; Remco Chang; Dylan Cashman (CoRR, 2022)

UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data. - Mateus Espadoto; Gabriel Appleby; Ashley Suh 001; Dylan Cashman; Mingwei Li; Carlos Scheidegger; Erik W. Anderson; Remco Chang; Alexandru C. Telea (IEEE Trans. Vis. Comput. Graph., 2023)

Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction. - Sonny George; Chris Sypherd; Dylan Cashman (EMNLP (Findings), 2024)

"They Aren't Built For Me": A Replication Study of Visual Graphical Perception with Tactile Representations of Data for Visually Impaired Users. - Areen Khalaila; Lane Harrison; Nam Wook Kim; Dylan Cashman (CoRR, 2024)

Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts. - Ashley Suh 001; Gabriel Appleby; Erik W. Anderson; Luca A. Finelli; Remco Chang; Dylan Cashman (IEEE Trans. Vis. Comput. Graph., 2024)

A Critical Analysis of the Usage of Dimensionality Reduction in Four Domains. - Dylan Cashman; Mark S. Keller; Hyeon Jeon; Bum Chul Kwon; Qianwen Wang (CoRR, 2025)