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Composable Learning with Sparse Kernel Representations


Mar 29, 2021
Ekaterina Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro


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Constrained Learning with Non-Convex Losses


Mar 08, 2021
Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro

* arXiv admin note: text overlap with arXiv:2006.05487 

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Learning Connectivity for Data Distribution in Robot Teams


Mar 08, 2021
Ekaterina Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, Alejandro Ribeiro


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Stability of Neural Networks on Riemannian Manifolds


Mar 03, 2021
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro

* 5 pages, 4 figures 

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State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards


Feb 23, 2021
Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro


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Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients


Feb 11, 2021
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro

* arXiv admin note: substantial text overlap with arXiv:1909.10704 

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Sufficiently Accurate Model Learning for Planning


Feb 11, 2021
Clark Zhang, Santiago Paternain, Alejandro Ribeiro


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ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators


Jan 25, 2021
Miguel Calvo-Fullana, Daniel Mox, Alexander Pyattaev, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro


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Decentralized Control with Graph Neural Networks


Dec 29, 2020
Fernando Gama, Qingbiao Li, Ekaterina Tolstaya, Amanda Prorok, Alejandro Ribeiro

* Submitted to IEEE Transactions on Signal Processing 

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Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning


Nov 24, 2020
Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro


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Graph and graphon neural network stability


Nov 09, 2020
Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro


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Sinkhorn Natural Gradient for Generative Models


Nov 09, 2020
Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani

* accepted to NeurIPS 2020 

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Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks


Nov 05, 2020
Zhiyang Wang, Mark Eisen, Alejandro Ribeiro

* 5 pages, 4 figures, conference 

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Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks


Nov 02, 2020
Ekaterina Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro


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Multi-task Supervised Learning via Cross-learning


Oct 30, 2020
Juan Cervino, Juan Andres Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro


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Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks


Oct 27, 2020
Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi

* Submitted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021) 

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Stability of Algebraic Neural Networks to Small Perturbations


Oct 22, 2020
Alejandro Parada-Mayorga, Alejandro Ribeiro


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Quiver Signal Processing (QSP)


Oct 22, 2020
Alejandro Parada-Mayorga, Hans Riess, Alejandro Ribeiro, Robert Ghrist


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Discriminability of Single-Layer Graph Neural Networks


Oct 21, 2020
Samuel Pfrommer, Fernando Gama, Alejandro Ribeiro

* Submitted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021) 

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Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes


Oct 16, 2020
Santiago Paternain, Juan Andres Bazerque, Alejandro Ribeiro


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Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3)


Oct 12, 2020
Zhan Gao, Fernando Gama, Alejandro Ribeiro

* Submitted to IEEE Transactions on Signal Processing 

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Algebraic Neural Networks: Stability to Deformations


Sep 11, 2020
Alejandro Parada-Mayorga, Alejandro Ribeiro


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Algebraic Neural Networks: Stability Properties


Sep 03, 2020
Alejandro Parada-Mayorga, Alejandro Ribeiro


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Graph Neural Networks: Architectures, Stability and Transferability


Aug 04, 2020
Luana Ruiz, Fernando Gama, Alejandro Ribeiro

* Submitted to Proceedings of the IEEE 

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Resource Allocation via Model-Free Deep Learning in Free Space Optical Networks


Jul 27, 2020
Zhan Gao, Mark Eisen, Alejandro Ribeiro


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Sinkhorn Barycenter via Functional Gradient Descent


Jul 20, 2020
Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani

* submitted to NIPS 2020 

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