no code implementations • 10 Oct 2023 • Damiano Piovesan, Davide Zago, Parnal Joshi, M. Clara De Paolis Kaluza, Mahta Mehdiabadi, Rashika Ramola, Alexander Miguel Monzon, Walter Reade, Iddo Friedberg, Predrag Radivojac, Silvio C. E. Tosatto
We present CAFA-evaluator, a powerful Python program designed to evaluate the performance of prediction methods on targets with hierarchical concept dependencies.
1 code implementation • NeurIPS 2020 • Fan Xie, Alexander Chowdhury, M. Clara De Paolis Kaluza, Linfeng Zhao, Lawson L. S. Wong, Rose Yu
Compared to baselines, our model generalizes better and achieves higher success rates on several simulated bimanual robotic manipulation tasks.
no code implementations • NeurIPS 2017 • Ehsan Elhamifar, M. Clara De Paolis Kaluza
In this paper, we develop a new framework for sequential subset selection that finds a set of representatives compatible with the dynamic models of data.
no code implementations • CVPR 2017 • Ehsan Elhamifar, M. Clara De Paolis Kaluza
As the proposed optimization is, in general, NP-hard and non-convex, we study a greedy approach based on unconstrained submodular optimization and also propose an efficient convex relaxation.