Parametric-Based Models for Artistic Representations
Manuel Ladron de Guevara
PhD-CD
Advised by Ramesh Krishnamurti, Daragh Byrne

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.
Manuel Ladron de Guevara
PhD-CD
Advised by Ramesh Krishnamurti, Daragh Byrne
Ardavan Bidgoli, Manuel Ladron de Guevara
2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Manuel Ladron de Guevara, Daragh Byrne, Ramesh Krishnamurti
arXiv e-prints
Manuel Ladron de Guevara, Daragh Byrne, Ramesh Krishnamurti
International Journal of Architectural Computing
Manuel Ladron de Guevara, Daragh Byrne, Ramesh Krishnamurti
2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA)
Manuel Ladron de Guevara, Jeremy Ficca, Daragh Byrne, Ramesh Krishnamurti
Proc. CAADRIA 2019