Publications

L. Ruiz, L. F. O. Chamon, und A. Ribeiro. Transferability Properties of Graph Neural Networks. IEEE Trans. on Signal Process., (71):3474--3489, 2023. [PUMA: EXC2075 journal pn6 pn6-13 updated]

J. Cervino, L. F. O. Chamon, B. D. Haeffele, R. Vidal, und A. Ribeiro. Learning Globally Smooth Functions on Manifolds. International Conference on Machine Learning~(ICML), 2023. [PUMA: EXC2075 conf_ml pn6 pn6-13 updated]

L. F. O. Chamon, S. Paternain, M. Calvo-Fullana, und A. Ribeiro. Constrained Learning with Non-Convex Losses. IEEE Trans. on Inf. Theory, (693):1739--1760, 2023. [PUMA: EXC2075 journal pn6 pn6-13 updated]

I. Hounie, L. F. O. Chamon, und A. Ribeiro. Automatic Data Augmentation via Invariance-Constrained Learning. International Conference on Machine Learning~(ICML), 2023. [PUMA: EXC2075 conf_ml pn6 pn6-13 updated]

C. G. Lopes, V. H. Nascimento, und L. F. O. Chamon. Distributed Universal Adaptive Networks. IEEE Trans. on Signal Process., (71):1817--1832, 2023. [PUMA: EXC2075 journal pn6 pn6-13 updated]