Shannon Robinson

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 5

Top Topics

Backpropagation Algorithm

Empirical Evaluation

Recurrent Neural Networks

Levenberg Marquardt

Top Venues

EuroVis (Short Papers)

IEEE Computer Graphics and Applications

Publications

Ashley Suh, Abigail Mosca, Shannon Robinson, Quinn Pham, Dylan Cashman, Alvitta Ottley, Remco Chang
Inferential Tasks as an Evaluation Technique for Visualization. CoRR (2022)
Ashley Suh, Abigail Mosca, Shannon Robinson, Quinn Pham, Dylan Cashman, Alvitta Ottley, Remco Chang
Inferential Tasks as an Evaluation Technique for Visualization. EuroVis (Short Papers) (2022)
Abigail Mosca, Shannon Robinson, Meredith Clarke, Rebecca Redelmeier, Sebastian Coates, Dylan Cashman, Remco Chang
Defining an Analysis: A Study of Client-Facing Data Scientists. EuroVis (Short Papers) (2019)
Dylan Cashman, Genevieve Patterson, Abigail Mosca, Nathan Watts, Shannon Robinson, Remco Chang
RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks. CoRR (2019)
Dylan Cashman, Genevieve Patterson, Abigail Mosca, Nathan Watts, Shannon Robinson, Remco Chang
RNNbow: Visualizing Learning Via Backpropagation Gradients in RNNs. IEEE Computer Graphics and Applications 38 (6) (2018)