The Science
Award-winning research published in Nature, Science, and PNAS. Exploring the intersection of artificial intelligence, data visualization, network science, and generative art at IBM Research and MIT-IBM Watson AI Lab.
Papers
Small Models, Smarter Learning: The Power of Joint Task Training
ESPLoRA: Enhanced Spatial Precision with Low-Rank Adaption in Text-to-Image Diffusion Models
Art, Visual Illusions, and Data Visualization (Dagstuhl Seminar 24301)
The role of interface design on prompt-mediated creativity in Generative AI
Empirical evidence on conversational control of GUI in semantic automation
Heterogeneous rarity patterns drive price dynamics in NFT collections
Mapping the NFT revolution: market trends, trade networks, and visual features
Fairytailor: A multimodal generative framework for storytelling
Latent Compass: Creation by Navigation
3D topology transformation with generative adversarial networks
Deepling: A visual interpretability system for convolutional neural networks
Vox2Net: From 3D Shapes to Network Sculptures
Network Medicine: Complex Systems in Human Disease and Therapeutics
Forma Fluens
Network Science
The Truthful Art: Data, Charts, and Maps for Communication
The Rise of Partisanship in the U.S. House of Representatives
A network framework of cultural history
Prospect Theory for Online Financial Trading
Catching fish in the stream: real time analysis of audience behavior in social media
Inscribing a Square - Urban Data as Public Space
Pulse of the City: Visualizing Urban Dynamics of Special Events
Redrawing the map of Great Britain from a network of human interactions
Ocean of Information: Fusing Aggregate & Individual Dynamics for Metropolitan Analysis
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