Christine Allen-Blanchette




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I am a machine learning researcher and part of the inaugural class of Presidential Postdoctoral Fellows at Princeton University where I am mentored by Naomi Leonard. I completed my PhD in Computer Science and Master’s in Robotics at the University of Pennsylvania where I was supervised by Kostas Daniilidis. Prior to my graduate work, I completed Bachelor’s degrees in Mechanical Engineering and Computer Engineering at San Jose State University.

My research interests lie at the intersection of deep learning, geometry and dynamical systems.


Christine Allen-Blanchette, Sushant Veer, Anirudha Majumdar, Naomi Ehrich Leonard, LagNetViP: A Lagrangian Neural Network for Video Prediction, PGAI-AAAI 2020

Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis, Equivariant Multi-View Networks, ICCV 2019 (Oral)

Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis, Learning SO(3) Equivariant Representations with Spherical CNNs, ECCV 2018 (Oral)

Carlos Esteves, Christine Allen-Blanchette, Xiaowei Zhou, Kostas Daniilidis, Polar Transformer Networks, ICLR 2018

Spyridon Leonardos, Christine Allen-Blanchette, Jean Gallier, The exponential map for the group of similarity transformations and applications to motion interpolation, ICRA 2015


Email: ca15 [at] princeton [dot] edu