Christine Allen-Blanchette

According to our database, Christine Allen-Blanchette authored at least 26 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts.

Tao Zhong, Dongzhe Zheng, Christine Allen-Blanchette

CoRR, May, 2026

Neural Fields for NV-Center Inverse Sensing.

Zhixuan Zhao, Tao Zhong, Yixun Hu, Nathalie P. de Leon, Christine Allen-Blanchette

CoRR, May, 2026

Topology-Preserving Neural Operator Learning via Hodge Decomposition.

Dongzhe Zheng, Tao Zhong, Christine Allen-Blanchette

CoRR, May, 2026

Neural Field Thermal Tomography: A Differentiable Physics Framework for Non-Destructive Evaluation.

Tao Zhong, Yixun Hu, Dongzhe Zheng, Aditya Sood, Christine Allen-Blanchette

CoRR, March, 2026

Frequency-Separable Hamiltonian Neural Network for Multi-Timescale Dynamics.

Yaojun Li, Yulong Yang, Christine Allen-Blanchette

CoRR, March, 2026

A Hypertoroidal Covering for Perfect Color Equivariance.

Yulong Yang, Zhikun Xu, Yaojun Li, Christine Allen-Blanchette

CoRR, March, 2026

2025

Physically Plausible Multi-System Trajectory Generation and Symmetry Discovery.

Jiayin Liu, Yulong Yang, Vineet Bansal, Christine Allen-Blanchette

CoRR, September, 2025

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control.

Keqin Wang, Tao Zhong, David Chang, Christine Allen-Blanchette

CoRR, September, 2025

Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges.

Tao Zhong, Jonah Buchanan, Christine Allen-Blanchette

CoRR, June, 2025

Surrogate Modeling of 3D Rayleigh-Benard Convection with Equivariant Autoencoders.

Fynn Fromme, Christine Allen-Blanchette, Hans Harder, Sebastian Peitz

CoRR, May, 2025

Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics.

Keqin Wang, Yulong Yang, Ishan Saha, Christine Allen-Blanchette

CoRR, January, 2025

GAGrasp: Geometric Algebra Diffusion for Dexterous Grasping.

Tao Zhong, Christine Allen-Blanchette

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Learning Color Equivariant Representations.

Yulong Yang, Felix O'Mahony, Christine Allen-Blanchette

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Behavior-Inspired Neural Networks for Relational Inference.

Yulong Yang, Bowen Feng, Keqin Wang, Naomi Ehrich Leonard, Adji Bousso Dieng, Christine Allen-Blanchette

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Relational Reasoning On Graphs Using Opinion Dynamics.

Yulong Yang, Bowen Feng, Keqin Wang, Naomi Ehrich Leonard, Adji Bousso Dieng, Christine Allen-Blanchette

CoRR, 2024

Color Equivariant Network.

Felix O'Mahony, Yulong Yang, Christine Allen-Blanchette

CoRR, 2024

Hamiltonian GAN.

Christine Allen-Blanchette

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

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

2022

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

2020

Joint Estimation of Image Representations and their Lie Invariants.

Christine Allen-Blanchette, Kostas Daniilidis

CoRR, 2020

LagNetViP: A Lagrangian Neural Network for Video Prediction.

Christine Allen-Blanchette, Sushant Veer, Anirudha Majumdar, Naomi Ehrich Leonard

CoRR, 2020

2019

Equivariant Multi-View Networks.

Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Polar Transformer Networks.

Carlos Esteves, Christine Allen-Blanchette, Xiaowei Zhou, Kostas Daniilidis

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning SO(3) Equivariant Representations with Spherical CNNs.

Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

3D object classification and retrieval with Spherical CNNs.

Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis

CoRR, 2017

2015

The exponential map for the group of similarity transformations and applications to motion interpolation.

Spyridon Leonardos, Christine Allen-Blanchette, Jean Gallier

Proceedings of the IEEE International Conference on Robotics and Automation, 2015