Daniel L. Pimentel-Alarcón

52 papers A* 5A 1B 10Journal 23Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exact Minimum-Volume Confidence Set Intersection for Multinomial Outcomes.
CoRR
Heguang Lin, Binhao Chen, Mengze Li, Daniel L. Pimentel-Alarcón, Matthew L. Malloy
2026 J jnl
High Rank Matrix Completion via Grassmannian Proxy Fusion.
CoRR
Huanran Li, Jeremy Johnson, Daniel L. Pimentel-Alarcón
2026 J jnl
Subspace Clustering on Incomplete Data with Self-Supervised Contrastive Learning.
CoRR
Huanran Li, Daniel L. Pimentel-Alarcón
2025 J jnl
An Integer Programming Approach to Subspace Clustering with Missing Data.
INFORMS J. Optim.
Akhilesh Soni, Jeff T. Linderoth, James R. Luedtke, Daniel L. Pimentel-Alarcón
2025 B conf
Deep Fusion: Capturing Dependencies in Contrastive Learning via Transformer Projection Heads.
ISIT
Huanran Li, Daniel L. Pimentel-Alarcón
2025 A* conf
Deep-Union Completion.
AAAI
Siddharth Baskar, Karan Vikyath Veeranna Rupashree, Daniel L. Pimentel-Alarcón
2025 B conf
Latent Union Completion.
ISIT
Karan Vikyath Veeranna Rupashree, Siddharth Baskar, Daniel L. Pimentel-Alarcón
2025 J jnl
Nonnegative Matrix Factorization through Cone Collapse.
CoRR
Manh Nguyen, Daniel L. Pimentel-Alarcón
2025 J jnl
Semi-Supervised Contrastive Learning with Orthonormal Prototypes.
CoRR
Huanran Li, Manh Nguyen, Daniel L. Pimentel-Alarcón
2024 J jnl
Contrastive Learning with Orthonormal Anchors (CLOA).
CoRR
Huanran Li, Daniel L. Pimentel-Alarcón
2024 B conf
Fusion over the Grassmannian for High-Rank Matrix Completion.
ISIT
Jeremy S. Johnson, Huanran Li, Daniel L. Pimentel-Alarcón
2024 J jnl
GrassCaré: Visualizing the Grassmannian on the Poincaré Disk.
SN Comput. Sci.
Huanran Li, Daniel L. Pimentel-Alarcón
2024 B conf
Group-Sparse Subspace Clustering with Elastic Stars.
ISIT
Huanran Li, Daniel L. Pimentel-Alarcón
2024 A* conf
Principle Component Trees and Their Persistent Homology.
AAAI
Ben A. Kizaric, Daniel L. Pimentel-Alarcón
2024 J jnl
TransFusion: Contrastive Learning with Transformers.
CoRR
Huanran Li, Daniel L. Pimentel-Alarcón
2023 — conf
Visualizing Grassmannians via Poincare Embeddings.
VISIGRAPP (3: IVAPP)
Huanran Li, Daniel L. Pimentel-Alarcón
2022 B conf
A Perturbation Bound on the Subspace Estimator from Canonical Projections.
ISIT
Karan Srivastava, Daniel L. Pimentel-Alarcón
2022 J jnl
A Perturbation Bound on the Subspace Estimator from Canonical Projections.
CoRR
Karan Srivastava, Daniel L. Pimentel-Alarcón
2022 — conf
Classifying Incomplete Data with a Mixture of Subspace Experts.
Allerton
Ben A. Kizaric, Daniel L. Pimentel-Alarcón
2022 B conf
Fusion Subspace Clustering for Incomplete Data.
IJCNN
Usman Mahmood, Daniel L. Pimentel-Alarcón
2022 J jnl
Fusion Subspace Clustering for Incomplete Data.
CoRR
Usman Mahmood, Daniel L. Pimentel-Alarcón
2022 B conf
Geometry of the Minimum Volume Confidence Sets.
ISIT
Heguang Lin, Mengze Li, Daniel L. Pimentel-Alarcón, Matthew L. Malloy
2022 J jnl
Geometry of the Minimum Volume Confidence Sets.
CoRR
Heguang Lin, Mengze Li, Daniel L. Pimentel-Alarcón, Matthew Malloy
2022 — conf
Minimum-Length Trace Reconstruction via Integer Programming.
Allerton
Huanran Li, Daniel L. Pimentel-Alarcón
2021 J jnl
Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural Networks.
CoRR
Yuren Sun, Tatiana Midori Maeda, Claudia R. Solís-Lemus, Daniel L. Pimentel-Alarcón, Zuzana Burivalova
2021 A* conf
Mixed-Features Vectors and Subspace Splitting.
ICLR
Alejandro Pimentel-Alarcón, Daniel L. Pimentel-Alarcón
2021 J jnl
Tensor Methods for Nonlinear Matrix Completion.
SIAM J. Math. Data Sci.
Greg Ongie, Daniel L. Pimentel-Alarcón, Laura Balzano, Rebecca Willett, Robert D. Nowak
2019 J jnl
GLIMPS: A Greedy Mixed Integer Approach for Super Robust Matched Subspace Detection.
CoRR
Md Mahfuzur Rahman, Daniel L. Pimentel-Alarcón
2019 — conf
GLIMPS: A Greedy Mixed-Integer Approach for Super Robust Matched Subspace Detection.
Allerton
Md Mahfuzur Rahman, Daniel L. Pimentel-Alarcón
2018 — conf
Breaking the Limits of Subspace Inference.
Allerton
Claudia R. Solís-Lemus, Daniel L. Pimentel-Alarcón
2018 J jnl
Fusion Subspace Clustering: Full and Incomplete Data.
CoRR
Daniel L. Pimentel-Alarcón, Usman Mahmood
2018 A* conf
Mixture Matrix Completion.
NeurIPS
Daniel L. Pimentel-Alarcón
2018 J jnl
Mixture Matrix Completion.
CoRR
Daniel L. Pimentel-Alarcón
2018 J jnl
Tensor Methods for Nonlinear Matrix Completion.
CoRR
Greg Ongie, Laura Balzano, Daniel L. Pimentel-Alarcón, Rebecca Willett, Robert D. Nowak
2017 B conf
Adversarial principal component analysis.
ISIT
Daniel L. Pimentel-Alarcón, Aritra Biswas, Claudia R. Solís-Lemus
2017 — conf
Low algebraic dimension matrix completion.
Allerton
Daniel L. Pimentel-Alarcón, Gregory Ongie, Laura Balzano, Rebecca Willett, Robert D. Nowak
2017 A conf
Random Consensus Robust PCA.
AISTATS
Daniel L. Pimentel-Alarcón, Robert D. Nowak
2016 J jnl
A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion.
IEEE J. Sel. Top. Signal Process.
Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
2016 B conf
A converse to low-rank matrix completion.
ISIT
Daniel L. Pimentel-Alarcón, Robert D. Nowak
2016 — conf
A simpler approach to low-rank tensor canonical polyadic decomposition.
Allerton
Daniel L. Pimentel-Alarcón
2016 J jnl
Corrections to "A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion".
IEEE J. Sel. Top. Signal Process.
Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
2016 — conf
Crime Detection via Crowdsourcing.
MCPR
Daniel L. Pimentel-Alarcón, Claudia R. Solís-Lemus
2016 — conf
Group-sparse subspace clustering with missing data.
SSP
Daniel L. Pimentel-Alarcón, Laura Balzano, Roummel F. Marcia, Robert D. Nowak, Rebecca Willett
2016 — conf
Necessary and sufficient conditions for sketched subspace clustering.
Allerton
Daniel L. Pimentel-Alarcón, Laura Balzano, Robert D. Nowak
2016 A* conf
The Information-Theoretic Requirements of Subspace Clustering with Missing Data.
ICML
Daniel L. Pimentel-Alarcón, Robert D. Nowak
2015 J jnl
A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion.
CoRR
Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
2015 — conf
A characterization of deterministic sampling patterns for low-rank matrix completion.
Allerton
Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
2015 — conf
Adaptive strategy for restricted-sampling noisy low-rank matrix completion.
CAMSAP
Daniel L. Pimentel-Alarcón, Robert D. Nowak
2015 B conf
Deterministic conditions for subspace identifiability from incomplete sampling.
ISIT
Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
2014 J jnl
Deterministic Conditions for Subspace Identifiability from Incomplete Sampling.
CoRR
Daniel L. Pimentel-Alarcón, Robert D. Nowak, Nigel Boston
2014 — conf
On the sample complexity of subspace clustering with missing data.
SSP
Daniel L. Pimentel-Alarcón, Robert D. Nowak, Laura Balzano
2014 J jnl
To lie or not to lie in a subspace.
CoRR
Daniel L. Pimentel-Alarcón