3D M-Blocks: Self-reconfiguring robots capable of locomotion via pivoting in three dimensions. - John W. Romanishin; Kyle Gilpin; Sebastian Claici; Daniela Rus (ICRA, 2015)

Persistent surveillance of events with unknown, time-varying statistics. - Cenk Baykal; Guy Rosman; Sebastian Claici; Daniela Rus (ICRA, 2017)

Distributed aggregation for modular robots in the pivoting cube model. - Sebastian Claici; John Romanishin; Jeffrey I. Lipton; Stéphane Bonardi; Kyle William Gilpin; Daniela Rus (ICRA, 2017)

Parallel Streaming Wasserstein Barycenters. - Matthew Staib; Sebastian Claici; Justin Solomon 001; Stefanie Jegelka (NIPS, 2017)

Isometry-Aware Preconditioning for Mesh Parameterization. - Sebastian Claici; Mikhail Bessmeltsev; Scott Schaefer; Justin Solomon 001 (Comput. Graph. Forum, 2017)

Automatic Room Segmentation From Unstructured 3-D Data of Indoor Environments. - Rares Ambrus; Sebastian Claici; Axel Wendt (IEEE Robotics Autom. Lett., 2017)

Stochastic Wasserstein Barycenters. - Sebastian Claici; Edward Chien; Justin Solomon 001 (ICML, 2018)

Wasserstein Coresets for Lipschitz Costs. - Sebastian Claici; Justin Solomon 001 (CoRR, 2018)

Dynamical optimal transport on discrete surfaces. - Hugo Lavenant; Sebastian Claici; Edward Chien; Justin Solomon 001 (ACM Trans. Graph., 2018)

Alleviating Label Switching with Optimal Transport. - Pierre Monteiller; Sebastian Claici; Edward Chien; Farzaneh Mirzazadeh; Justin M. Solomon; Mikhail Yurochkin (NeurIPS, 2019)

Hierarchical Optimal Transport for Document Representation. - Mikhail Yurochkin; Sebastian Claici; Edward Chien; Farzaneh Mirzazadeh; Justin M. Solomon (NeurIPS, 2019)

Model Fusion with Kullback-Leibler Divergence. - Sebastian Claici; Mikhail Yurochkin; Soumya Ghosh; Justin Solomon 001 (ICML, 2020)

Incorporating Unlabeled Data into Distributionally Robust Learning. - Charlie Frogner; Sebastian Claici; Edward Chien; Justin Solomon 001 (J. Mach. Learn. Res., 2021)