| 2025 | AAAI | Deep-Union Completion. | Siddharth Baskar, Karan Vikyath Veeranna Rupashree, Daniel L. Pimentel-Alarcn |
| 2025 | ISIT | Deep Fusion: Capturing Dependencies in Contrastive Learning via Transformer Projection Heads. | Huanran Li, Daniel L. Pimentel-Alarcn |
| 2025 | ISIT | Latent Union Completion. | Karan Vikyath Veeranna Rupashree, Siddharth Baskar, Daniel L. Pimentel-Alarcn |
| 2024 | AAAI | Principle Component Trees and Their Persistent Homology. | Ben A. Kizaric, Daniel L. Pimentel-Alarcn |
| 2024 | ISIT | Fusion over the Grassmannian for High-Rank Matrix Completion. | Jeremy S. Johnson, Huanran Li, Daniel L. Pimentel-Alarcn |
| 2024 | ISIT | Group-Sparse Subspace Clustering with Elastic Stars. | Huanran Li, Daniel L. Pimentel-Alarcn |
| 2022 | IJCNN | Fusion Subspace Clustering for Incomplete Data. | Usman Mahmood, Daniel L. Pimentel-Alarcn |
| 2022 | ISIT | Geometry of the Minimum Volume Confidence Sets. | Heguang Lin, Mengze Li, Daniel L. Pimentel-Alarcn, Matthew L. Malloy |
| 2022 | ISIT | A Perturbation Bound on the Subspace Estimator from Canonical Projections. | Karan Srivastava, Daniel L. Pimentel-Alarcn |
| 2021 | ICLR | Mixed-Features Vectors and Subspace Splitting. | Alejandro Pimentel-Alarcn, Daniel L. Pimentel-Alarcn |
| 2017 | AISTATS | Random Consensus Robust PCA. | Daniel L. Pimentel-Alarcn, Robert D. Nowak |
| 2017 | ISIT | Adversarial principal component analysis. | Daniel L. Pimentel-Alarcn, Aritra Biswas, Claudia R. Sols-Lemus |
| 2016 | ICML | The Information-Theoretic Requirements of Subspace Clustering with Missing Data. | Daniel L. Pimentel-Alarcn, Robert D. Nowak |
| 2016 | ISIT | A converse to low-rank matrix completion. | Daniel L. Pimentel-Alarcn, Robert D. Nowak |
| 2015 | ISIT | Deterministic conditions for subspace identifiability from incomplete sampling. | Daniel L. Pimentel-Alarcn, Nigel Boston, Robert D. Nowak |