Machine Learning as Ecology. - Owen Howell; Cui Wenping; Robert Marsland III; Pankaj Mehta (CoRR, 2019)

Equivariant Single View Pose Prediction Via Induced and Restriction Representations. - Owen Howell; David Klee; Ondrej Biza; Linfeng Zhao; Robin Walters 001 (NeurIPS, 2023)

Equivariant Single View Pose Prediction Via Induced and Restricted Representations. - Owen Howell; David Klee; Ondrej Biza; Linfeng Zhao; Robin Walters 001 (CoRR, 2023)

Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? - Linfeng Zhao; Owen Howell; Jung Yeon Park; Xupeng Zhu; Robin Walters 001; Lawson L. S. Wong (CoRR, 2023)

Multi-Irreducible Spectral Synchronization for Robust Rotation Averaging. - Owen Howell; Haoen Huang 002; David Rosen 002 (CoRR, 2023)

Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D. - Haojie Huang; Owen Howell; Dian Wang 001; Xupeng Zhu; Robert Platt 001; Robin Walters 001 (ICLR, 2024)

Equivariant Offline Reinforcement Learning. - Arsh Tangri; Ondrej Biza; Dian Wang 001; David Klee; Owen Howell; Robert Platt 001 (CoRR, 2024)

NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models. - Zhuoran Qiao; Feizhi Ding; Thomas Dresselhaus; Mia A. Rosenfeld; Xiaotian Han; Owen Howell; Aniketh Iyengar; Stephen Opalenski; Anders S. Christensen; Sai K. Sirumalla; Frederick R. Manby; Thomas F. Miller III; et al. (CoRR, 2024)

Equivariant Action Sampling for Reinforcement Learning and Planning. - Linfeng Zhao; Owen Howell; Xupeng Zhu; Jung Yeon Park; Zhewen Zhang; Robin Walters 001; Lawson L. S. Wong (CoRR, 2024)

Hierarchical Equivariant Policy via Frame Transfer. - Haibo Zhao; Dian Wang 001; Yizhe Zhu; Xupeng Zhu; Owen Howell; Linfeng Zhao; Yaoyao Qian; Robin Walters 001; Robert Platt 001 (CoRR, 2025)

Recursive Deep Inverse Reinforcement Learning. - Paul Ghanem; Michael Potter; Owen Howell; Pau Closas; Alireza Ramezani; Deniz Erdogmus; Tales Imbiriba (CoRR, 2025)