Daniel L. Pimentel-Alarcón

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Topics

Incomplete Data

Integer Program

Matrix Completion

Subspace Clustering

Top Venues

Publications

Ben A. Kizaric, Daniel L. Pimentel-Alarcón
Principle Component Trees and Their Persistent Homology. AAAI (2024)
Huanran Li, Daniel L. Pimentel-Alarcón
GrassCaré: Visualizing the Grassmannian on the Poincaré Disk. SN Comput. Sci. 5 (3) (2024)
Huanran Li, Daniel L. Pimentel-Alarcón
Contrastive Learning with Orthonormal Anchors (CLOA). CoRR (2024)
Huanran Li, Daniel L. Pimentel-Alarcón
TransFusion: Contrastive Learning with Transformers. CoRR (2024)
Huanran Li, Daniel L. Pimentel-Alarcón
Visualizing Grassmannians via Poincare Embeddings. VISIGRAPP (3: IVAPP) (2023)
Karan Srivastava, Daniel L. Pimentel-Alarcón
A Perturbation Bound on the Subspace Estimator from Canonical Projections. CoRR (2022)
Huanran Li, Daniel L. Pimentel-Alarcón
Minimum-Length Trace Reconstruction via Integer Programming. Allerton (2022)
Ben A. Kizaric, Daniel L. Pimentel-Alarcón
Classifying Incomplete Data with a Mixture of Subspace Experts. Allerton (2022)
Karan Srivastava, Daniel L. Pimentel-Alarcón
A Perturbation Bound on the Subspace Estimator from Canonical Projections. ISIT (2022)
Heguang Lin, Mengze Li, Daniel L. Pimentel-Alarcón, Matthew L. Malloy
Geometry of the Minimum Volume Confidence Sets. ISIT (2022)
Usman Mahmood, Daniel L. Pimentel-Alarcón
Fusion Subspace Clustering for Incomplete Data. IJCNN (2022)
Heguang Lin, Mengze Li, Daniel L. Pimentel-Alarcón, Matthew Malloy
Geometry of the Minimum Volume Confidence Sets. CoRR (2022)
Usman Mahmood, Daniel L. Pimentel-Alarcón
Fusion Subspace Clustering for Incomplete Data. CoRR (2022)
Greg Ongie, Daniel L. Pimentel-Alarcón, Laura Balzano, Rebecca Willett, Robert D. Nowak
Tensor Methods for Nonlinear Matrix Completion. SIAM J. Math. Data Sci. 3 (1) (2021)
Alejandro Pimentel-Alarcón, Daniel L. Pimentel-Alarcón
Mixed-Features Vectors and Subspace Splitting. ICLR (2021)
Yuren Sun, Tatiana Midori Maeda, Claudia R. Solís-Lemus, Daniel L. Pimentel-Alarcón, Zuzana Burivalova
Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural Networks. CoRR (2021)
Md Mahfuzur Rahman, Daniel L. Pimentel-Alarcón
GLIMPS: A Greedy Mixed Integer Approach for Super Robust Matched Subspace Detection. CoRR (2019)
Md Mahfuzur Rahman, Daniel L. Pimentel-Alarcón
GLIMPS: A Greedy Mixed-Integer Approach for Super Robust Matched Subspace Detection. Allerton (2019)
Daniel L. Pimentel-Alarcón
Mixture Matrix Completion. NeurIPS (2018)
Daniel L. Pimentel-Alarcón
Mixture Matrix Completion. CoRR (2018)
Daniel L. Pimentel-Alarcón, Usman Mahmood
Fusion Subspace Clustering: Full and Incomplete Data. CoRR (2018)
Greg Ongie, Laura Balzano, Daniel L. Pimentel-Alarcón, Rebecca Willett, Robert D. Nowak
Tensor Methods for Nonlinear Matrix Completion. CoRR (2018)
Claudia R. Solís-Lemus, Daniel L. Pimentel-Alarcón
Breaking the Limits of Subspace Inference. Allerton (2018)
Daniel L. Pimentel-Alarcón, Robert D. Nowak
Random Consensus Robust PCA. AISTATS (2017)
Daniel L. Pimentel-Alarcón, Aritra Biswas, Claudia R. Solís-Lemus
Adversarial principal component analysis. ISIT (2017)
Daniel L. Pimentel-Alarcón, Gregory Ongie, Laura Balzano, Rebecca Willett, Robert D. Nowak
Low algebraic dimension matrix completion. Allerton (2017)
Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
Corrections to "A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion". IEEE J. Sel. Top. Signal Process. 10 (8) (2016)
Daniel L. Pimentel-Alarcón, Laura Balzano, Robert D. Nowak
Necessary and sufficient conditions for sketched subspace clustering. Allerton (2016)
Daniel L. Pimentel-Alarcón, Robert D. Nowak
A converse to low-rank matrix completion. ISIT (2016)
Daniel L. Pimentel-Alarcón, Robert D. Nowak
The Information-Theoretic Requirements of Subspace Clustering with Missing Data. ICML (2016)
Daniel L. Pimentel-Alarcón
A simpler approach to low-rank tensor canonical polyadic decomposition. Allerton (2016)
Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Daniel L. Pimentel-Alarcón, Claudia R. Solís-Lemus
Crime Detection via Crowdsourcing. MCPR (2016)
Daniel L. Pimentel-Alarcón, Laura Balzano, Roummel F. Marcia, Robert D. Nowak, Rebecca Willett
Group-sparse subspace clustering with missing data. SSP (2016)
Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
Deterministic conditions for subspace identifiability from incomplete sampling. ISIT (2015)
Daniel L. Pimentel-Alarcón, Robert D. Nowak
Adaptive strategy for restricted-sampling noisy low-rank matrix completion. CAMSAP (2015)
Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
A characterization of deterministic sampling patterns for low-rank matrix completion. Allerton (2015)
Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion. CoRR (2015)
Daniel L. Pimentel-Alarcón
To lie or not to lie in a subspace. CoRR (2014)
Daniel L. Pimentel-Alarcón, Robert D. Nowak, Laura Balzano
On the sample complexity of subspace clustering with missing data. SSP (2014)
Daniel L. Pimentel-Alarcón, Robert D. Nowak, Nigel Boston
Deterministic Conditions for Subspace Identifiability from Incomplete Sampling. CoRR (2014)