Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Navarro, Madeline
35  Ergebnisse:
Personensuche X
?
1

Joint Network Topology Inference in the Presence of Hidden ..:

Navarro, Madeline ; Rey, Samuel ; Buciulea, Andrei..
IEEE Transactions on Signal Processing.  72 (2024)  - p. 2710-2725 , 2024
Link: https://doi.org/10.1109/..
 
?
2

Graphmad: Graph Mixup for Data Augmentation Using Data-Driv..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Navarro, Madeline ; Segarra, Santiago - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
?
3

Graphon-Aided Joint Estimation of Multiple Graphs:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Navarro, Madeline ; Segarra, Santiago - p. 5458-5462 , 2022
Link: https://doi.org/10.1109/..
 
?
4

Joint graph learning from Gaussian observations in the pres..:

, In: 2022 56th Asilomar Conference on Signals, Systems, and Computers,
Rey, Samuel ; Navarro, Madeline ; Buciulea, Andrei.. - p. 53-57 , 2022
Link: https://doi.org/10.1109/..
 
?
5

Joint Inference of Multiple Graphs with Hidden Variables fr..:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Rey, Samuel ; Buciulea, Andrei ; Navarro, Madeline.. - p. 5817-5821 , 2022
Link: https://doi.org/10.1109/..
 
?
6

Network Topology Inference with Graphon Spectral Penalties:

, In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Roddenberry, T. Mitchell ; Navarro, Madeline ; Segarra, Santiago - p. 5390-5394 , 2021
Link: https://doi.org/10.1109/..
 
?
7

SC-MAD: Mixtures of Higher-order Networks for Data Augmenta..:

Navarro, Madeline ; Segarra, Santiago
http://arxiv.org/abs/2309.07453.  , 2023
Link: http://arxiv.org/abs/230..
 
?
8

Joint Network Topology Inference in the Presence of Hidden ..:

Navarro, Madeline ; Rey, Samuel ; Buciulea, Andrei..
http://arxiv.org/abs/2306.17364.  , 2023
Link: http://arxiv.org/abs/230..
 
?
9

Recovering Missing Node Features with Local Structure-based..:

Tenorio, Victor M ; Navarro, Madeline ; Segarra, Santiago.
http://arxiv.org/abs/2309.09068.  , 2023
Link: http://arxiv.org/abs/230..
 
?
10

Data Augmentation via Subgroup Mixup for Improving Fairness:

Navarro, Madeline ; Little, Camille ; Allen, Genevera I.
http://arxiv.org/abs/2309.07110.  , 2023
Link: http://arxiv.org/abs/230..
 
?
11

GraphMAD: Graph Mixup for Data Augmentation using Data-Driv..:

Navarro, Madeline ; Segarra, Santiago
http://arxiv.org/abs/2210.15721.  , 2022
Link: http://arxiv.org/abs/221..
 
?
12

Joint Network Topology Inference via a Shared Graphon Model:

Navarro, Madeline ; Segarra, Santiago
http://arxiv.org/abs/2209.08223.  , 2022
Link: http://arxiv.org/abs/220..
 
?
13

Joint graph learning from Gaussian observations in the pres..:

Rey, Samuel ; Navarro, Madeline ; Buciulea, Andrei..
http://arxiv.org/abs/2212.01816.  , 2022
Link: http://arxiv.org/abs/221..
 
?
14

Graphon-aided Joint Estimation of Multiple Graphs:

Navarro, Madeline ; Segarra, Santiago
http://arxiv.org/abs/2202.05686.  , 2022
Link: http://arxiv.org/abs/220..
 
?
15

Network Clustering for Latent State and Changepoint Detecti..:

Navarro, Madeline ; Allen, Genevera I ; Weylandt, Michael
http://arxiv.org/abs/2111.01273.  , 2021
Link: http://arxiv.org/abs/211..
 
1-15