Manuel Ladron de Guevara

I am a fifth year PhD candidate advised by Ramesh Krishnamurti, Daragh Byrne, and Jun-Yan Zhu (committee member) at the Computational Design department at Carnegie Mellon University, where I work on computer vision and machine learning. I'm a research scientist intern at Adobe Research under Daichi Ito, Jose Echevarria, Yannick Hold-Geoffroy, Yijun Li, and Cameron Smith. I am interested in deep learning for image synthesis, deep painting and multimodal machine learning. I work as a Studio Instructor at the School of Architecture at Carnegie Mellon University, and I am a co-founder of CRAIDL, a platform for creative AI research.

How This Connects
Robotic free-oriented additive manufacturing technique for thermoplastic lattice and cellular structuresRobotic free-or…Multimodal Word Sense Disambiguation in Creative PracticeMultimodal Word…Multimodal Word Sense Disambiguation in Creative PracticeMultimodal Word…Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human ArtistsArtistic Style …Multi-resolution in architecture as a design driver for additive manufacturing applicationsMulti-resolutio…Parametric-Based Models for Artistic RepresentationsParametric-Base…
Manuel Ladron de Guevara
Open in Constellation View

Work


Research Timeline