SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space. - Evangelos Chatzipantazis; Stefanos Pertigkiozoglou; Edgar Dobriban; Kostas Daniilidis (ICLR, 2023)

Graph Neural Networks for Multi-Robot Active Information Acquisition. - Mariliza Tzes; Nikolaos Bousias; Evangelos Chatzipantazis; George J. Pappas (ICRA, 2023)

Learning Augmentation Distributions using Transformed Risk Minimization. - Evangelos Chatzipantazis; Stefanos Pertigkiozoglou; Kostas Daniilidis; Edgar Dobriban (Trans. Mach. Learn. Res., 2023)

Structural Risk Minimization for Learning Nonlinear Dynamics. - Charis J. Stamouli; Evangelos Chatzipantazis; George J. Pappas (ACC, 2024)

Neural decoding from stereotactic EEG: accounting for electrode variability across subjects. - Georgios Mentzelopoulos; Evangelos Chatzipantazis; Ashwin G. Ramayya; Michelle J. Hedlund; Vivek P. Buch; Kostas Daniilidis; Konrad P. Kording; Flavia Vitale (NeurIPS, 2024)

Improving Equivariant Model Training via Constraint Relaxation. - Stefanos Pertigkiozoglou; Evangelos Chatzipantazis; Shubhendu Trivedi; Kostas Daniilidis (NeurIPS, 2024)

BiEquiFormer: Bi-Equivariant Representations for Global Point Cloud Registration. - Stefanos Pertigkiozoglou; Evangelos Chatzipantazis; Kostas Daniilidis (CoRR, 2024)

EqNIO: Subequivariant Neural Inertial Odometry. - Royina Karegoudra Jayanth; Yinshuang Xu; Ziyun Wang 001; Evangelos Chatzipantazis; Kostas Daniilidis; Daniel Gehrig (ICLR, 2025)

STRiDE: STate-space Riemannian Diffusion for Equivariant Planning. - Evangelos Chatzipantazis; Nishanth Rao; Kostas Daniilidis (L4DC, 2025)

Neural Inertial Odometry from Lie Events. - Royina Karegoudra Jayanth; Yinshuang Xu; Evangelos Chatzipantazis; Kostas Daniilidis; Daniel Gehrig (CoRR, 2025)