| A. Soni, J. Linderoth, J. Luedtke, and D. Pimentel-Alarcón.
"An integer programming approach to subspace clustering with missing data".
INFORMS Journal on Optimization.
2025.
[Link]
|
| S. Baskar,
K. Rupashree, and
D. Pimentel-Alarcón.
"Deep union completion".
AAAI Conference on Artificial Intelligence.
2025.
[Link]
|
| Huanran Li,
D. Pimentel-Alarcón.
"Deep fusion: Capturing dependencies in contrastive learning via transformer projection heads".
IEEE International Symposium on Information Theory (ISIT).
2025.
[Link]
|
| K. Rupashree,
S. Baskar, and
D. Pimentel-Alarcón.
"Latent union completion".
IEEE International Symposium on Information Theory (ISIT).
2025.
[Link]
|
| H. Li and
D. Pimentel-Alarcón.
"Group-sparse subspace clustering with elastic stars".
IEEE International Symposium on Information Theory (ISIT).
2024.
[Link]
|
| H. Li,
J. Johnson, and
D. Pimentel-Alarcón.
"Fusion over the grassmannian for high-rank matrix completion".
IEEE International Symposium on Information Theory (ISIT).
2024.
[Link]
|
| A. Singh, M. Fromandi,
D. Pimentel-Alarcón, D. Werling, A. Gasch, and J.P. Yu.
"Intrinsic gene expression correlates of the biophysically modeled diffusion MRI signal in autism spectrum disorder".
Biological Psychiatry.
2024.
[Link]
|
| J. Rattray, R. Lowhorn, R. Walden, P. Márquez-Zacarías, E. Molotkova, G. Perron, C. Solís-Lemus,
D. Pimentel-Alarcón, and Sam Brown.
"Machine learning identification of pseudomonas aeruginosa strains from colony image data".
PLOS Computational Biology.
2023.
[Link]
|
| H. Li and
D. Pimentel-Alarcón.
"Visualizing grassmannians via poincare embeddings".
International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP).
2023. Best student paper award.
[Link]
|
| B. Kizaric and
D. Pimentel-Alarcón.
"Principal component trees and their persistent homology".
AAAI Conference on Artificial Intelligence.
2023.
[Link]
|
| Y. Sun, T. Midori-Maeda, C. Solís-Lemus,
D. Pimentel-Alarcón, and Zuzana Burivalova.
"Classification of animal sounds in a hyperdiverse rainforest using convolutional neural networks with data augmentation.".
Ecological Indicators.
2022.
[Link]
|
| K. Srivastava and D. Pimentel-Alarcón.
"A perturbation bound on the subspace estimator from canonical projections".
IEEE International Symposium on Information Theory (ISIT).
2022.
[Link]
|
| U. Mahmood and D. Pimentel-Alarcón.
"Fusion subspace clustering for incomplete data".
International Joint Conference on Neural Networks (IJCNN).
2022.
[Link]
|
| H. Li and
D. Pimentel-Alarcón.
"Minimum-length trace reconstruction via integer programming".
Allerton Conference on Communication, Control, and Computing.
2022.
[Link]
|
| B. Kizaric and
D. Pimentel-Alarcón.
"Classifying incomplete data with a mixture of subspace experts".
Allerton Conference on Communication, Control, and Computing.
2022.
[Link]
|
| H. Lin, M. Li, D. Pimentel-Alarcón, and M. Malloy.
"Geometry of the minimum volume confidence sets".
IEEE International Symposium on Information Theory (ISIT).
2022.
[Link]
|
| A. Soni, J. Linderoth, J. Luedtke, and D. Pimentel-Alarcón.
"Integer programming approaches to subspace clustering with missing data".
Optimization for Machine Learning, NeurIPS.
2021.
[Link]
|
| A. Pimentel-Alarcón and D. Pimentel-Alarcón.
"Mixed-features vectors and subspace splitting".
International Conference on Learning Representations (ICLR).
2021.
[Link]
|
| G. Ongie, D. Pimentel-Alarcón, L. Balzano, R. Willett, and R. Nowak.
"Tensor methods for nonlinear matrix completion".
SIAM Journal on Mathematics of Data Science.
2021.
[Link]
|
| R. Walden, D. Hope, S. Jefferies, and D. Pimentel-Alarcón.
"Satellite characterization via restoration-free imaging: A novel machine learning paradigm for SSA".
Advanced Maui Optical and Space Surveillance Technologies (AMOS).
2020.
[Link]
|
| C. Solís-Lemus, X. Ma, M. Hostetter, S. Kundu, P. Qiu, and D. Pimentel-Alarcón.
"Prediction of functional markers of mass cytometry data via deep learning".
Statistical Modeling in Biomedical Research.
2020.
[Link]
|
| M. Rahman and D. Pimentel-Alarcón.
"Glimps: A greedy mixed-integer approach for super robust matched subspace detection".
Allerton Conference on Communication, Control, and Computing.
2019.
[Link]
|
| D. Pimentel-Alarcón, A. Tiwari, D. Hope, and S. Jefferies.
"Leveraging machine learning for high-resolution restoration of satellite imagery".
Advanced Maui Optical and Space Surveillance Technologies (AMOS).
2018.
[Link]
|
| D. Pimentel-Alarcón.
"Selective erasures for high-dimensional robust subspace tracking".
Compressive Sensing VII: From Diverse Modalities to Big Data Analytics.
2018.
[Link]
|
C. Solís-Lemus and D. Pimentel-Alarcón.
"Breaking the limits of subspace inference".
Allerton Conference on Communication, Control, and Computing.
2018.
[Link]
|
| D. Pimentel-Alarcón.
"Mixture matrix completion".
Advances in Neural Information Processing Systems (NeurIPS).
2018.
[Link]
|
| D. Pimentel-Alarcón, G. Ongie, L. Balzano, R. Willett, and R. Nowak.
"Low algebraic dimension matrix completion".
Allerton Conference on Communication, Control, and Computing.
2017.
[Link]
|
| D. Pimentel-Alarcón and R. Nowak.
"Random consensus robust PCA".
Artificial Intelligence and Statistics.
2017.
[Link]
|
| D. Pimentel-Alarcón, A. Biswas, and C. Solís-Lemus.
"Adversarial principal component analysis".
IEEE International Symposium on Information Theory (ISIT).
2017.
[Link]
|
| D. Pimentel-Alarcón, L. Balzano, R. Marcia, R. Nowak, and R. Willett.
"Mixture regression as subspace clustering".
International Conference on Sampling Theory and Applications (SampTA).
2017.
[Link]
|