Guillermo Ortiz-Jiménez
Guillermo Ortiz-Jiménez
PhD student, EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Sparse sampling for inverse problems with tensors
G Ortiz-Jiménez, M Coutino, SP Chepuri, G Leus
IEEE Transactions on Signal Processing 67 (12), 3272-3286, 2019
172019
Simulation Framework for a 3-D High-Resolution Imaging Radar at 300 GHz with a Scattering Model Based on Rendering Techniques
G Ortiz-Jiménez, F García-Rial, LA Ubeda-Medina, R Pagés, N García, ...
IEEE Transactions on Terahertz Science and Technology 7 (4), 404-414, 2017
102017
Sampling and reconstruction of signals on product graphs
G Ortiz-Jiménez, M Coutino, SP Chepuri, G Leus
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
82018
On the choice of graph neural network architectures
C Vignac, G Ortiz-Jiménez, P Frossard
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
72020
Hold me tight! Influence of discriminative features on deep network boundaries
G Ortiz-Jimenez, A Modas, SM Moosavi-Dezfooli, P Frossard
Advances in Neural Information Processing Systems, 2020
62020
Forward-backward splitting for optimal transport based problems
G Ortiz-Jiménez, M El Gheche, E Simou, HP Maretić, P Frossard
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
22020
Optimism in the face of adversity: Understanding and improving deep learning through adversarial robustness
G Ortiz-Jiménez, A Modas, SM Moosavi-Dezfooli, P Frossard
arXiv preprint arXiv:2010.09624, 2020
12020
Redundant features can hurt robustness to distribution shift
G Ortiz-Jiménez, A Modas, SM Moosavi-Dezfooli, P Frossard
Uncertainty & Robustness in Deep Learning Workshop (ICML 2020), 2020
12020
Neural Anisotropy Directions
G Ortiz-Jimenez, A Modas, SM Moosavi-Dezfooli, P Frossard
Advances in Neural Information Processing Systems, 2020
12020
Multidomain Graph Signal Processing: Learning and Sampling
G Ortiz-Jiménez
Delft University of Technology, 2018
12018
CDOT: Continuous Domain Adaptation using Optimal Transport
G Ortiz-Jimenez, ME Gheche, E Simou, HP Maretic, P Frossard
Optimal Transport & Machine Learning Workshop (NeurIPS 2019), 2019
2019
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Articles 1–11