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

3D object classification and retrieval with Spherical CNNs. - Carlos Esteves; Christine Allen-Blanchette; Ameesh Makadia; Kostas Daniilidis (CoRR, 2017)

Polar Transformer Networks. - Carlos Esteves; Christine Allen-Blanchette; Xiaowei Zhou 001; Kostas Daniilidis (ICLR (Poster), 2018)

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

LagNetViP: A Lagrangian Neural Network for Video Prediction. - Christine Allen-Blanchette; Sushant Veer; Anirudha Majumdar; Naomi Ehrich Leonard (CoRR, 2020)

Joint Estimation of Image Representations and their Lie Invariants. - Christine Allen-Blanchette; Kostas Daniilidis (CoRR, 2020)

Learning SO(3) Equivariant Representations with Spherical CNNs. - Carlos Esteves; Christine Allen-Blanchette; Ameesh Makadia; Kostas Daniilidis (Int. J. Comput. Vis., 2020)

Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body. - Justice Mason; Christine Allen-Blanchette; Nicholas Zolman; Elizabeth N. Davison; Naomi Ehrich Leonard (CoRR, 2022)

Learning to predict 3D rotational dynamics from images of a rigid body with unknown mass distribution. - Justice Mason; Christine Allen-Blanchette; Nicholas Zolman; Elizabeth N. Davison; Naomi Ehrich Leonard (CoRR, 2023)

Hamiltonian GAN. - Christine Allen-Blanchette (L4DC, 2024)

Color Equivariant Network. - Felix O'Mahony; Yulong Yang 003; Christine Allen-Blanchette (CoRR, 2024)

Relational Reasoning On Graphs Using Opinion Dynamics. - Yulong Yang 003; Bowen Feng; Keqin Wang; Naomi Ehrich Leonard; Adji Bousso Dieng; Christine Allen-Blanchette (CoRR, 2024)

Behavior-Inspired Neural Networks for Relational Inference. - Yulong Yang 003; Bowen Feng; Keqin Wang; Naomi Ehrich Leonard; Adji Bousso Dieng; Christine Allen-Blanchette (AISTATS, 2025)

Learning Color Equivariant Representations. - Yulong Yang 003; Felix O'Mahony; Christine Allen-Blanchette (ICLR, 2025)

Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics. - Keqin Wang; Yulong Yang 003; Ishan Saha; Christine Allen-Blanchette (CoRR, 2025)

GAGrasp: Geometric Algebra Diffusion for Dexterous Grasping. - Tao Zhong 003; Christine Allen-Blanchette (CoRR, 2025)

Surrogate Modeling of 3D Rayleigh-Benard Convection with Equivariant Autoencoders. - Fynn Fromme; Christine Allen-Blanchette; Hans Harder; Sebastian Peitz (CoRR, 2025)

Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges. - Tao Zhong 003; Jonah Buchanan; Christine Allen-Blanchette (CoRR, 2025)