Projects and Publications
Interpreting AI models via visualizations
- LatentGandr: Visual Exploration of Generative AI Latent Space via Local Embeddings [arXiv]
- Visualizing Neural Networks with the Grand Tour [html]
- Comparing DNNs with UMAP Tour [html] [VISxAI Slides] [arXiv]
- Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs [arXiv]
- CAN: Concept-Aligned Neurons for Visual Comparison of Deep Neural Network Models [EuroVis2024]
- CUPID: Contextual Understanding of Prompt-conditioned Image Distributions [arXiv] [EuroVis2024]
- Understanding capsule networks [html]
Interactive visualization tools
- DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic [arXiv] [demo] [video demo]
- UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data. We learned inverse mapping of dimensionality reduction plots [demo on MNIST] [demo on FashionMNIST] [arXiv]
- Neuralcubes: Deep representations for visual data exploration [arXiv]
Scientific Applications of Vis
- AlloyLens: A Visual Analytics Tool for High-throughput Alloy Screening and Inverse Design [arXiv] [demo] [SciVis Contest 2025 Honorable Mention]
- Data-Driven Insights on the Impact of Functionalization on Metal–Organic Framework Free Energies [Chemistry of Materials]
- SynMapN: Interactive Visual Comparison for Multiple Genomes [summary] [poster]
Graph Layout algorithms, Network Visualizations
- Graph Drawing via Gradient Descent, (GD)^2 [arXiv] [demo]
- Multicriteria Scalable Graph Drawing via Stochastic Gradient Descent, (SGD)^2 [arXiv] [GitHub]
- A scalable method for readable tree layouts [arXiv]
- Visualizing evolving trees [arXiv]