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Rene Vidal

Identifiers

  • name variant Rene Vidal 0.60 · backfill

Papers (30)

  1. SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates stat.ML · 2026 · author #4
  2. See What I See, Know What I Think: Dense Latent Communication Across Heterogeneous Agents cs.MA · 2026 · author #7
  3. Shuffling the Data, Stretching the Step-size: Sharper Bias in constant step-size SGD math.OC · 2026 · author #3
  4. Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs cs.LG · 2026 · author #3
  5. Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms cs.LG · 2018 · author #5
  6. Nonconvex Robust Low-rank Matrix Recovery cs.IT · 2018 · author #4
  7. On the Implicit Bias of Dropout cs.LG · 2018 · author #3
  8. A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images cs.CV · 2018 · author #3
  9. Theoretical Analysis of Sparse Subspace Clustering with Missing Entries cs.LG · 2018 · author #2
  10. Mathematics of Deep Learning cs.LG · 2017 · author #1
  11. Stretching Domain Adaptation: How far is too far? cs.CV · 2017 · author #3
  12. Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images cs.CV · 2017 · author #3
  13. Dropout as a Low-Rank Regularizer for Matrix Factorization cs.LG · 2017 · author #6
  14. Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications cs.LG · 2017 · author #2
  15. 3D Pose Regression using Convolutional Neural Networks cs.CV · 2017 · author #3
  16. Hyperplane Clustering Via Dual Principal Component Pursuit cs.CV · 2017 · author #2
  17. Curriculum Dropout cs.NE · 2017 · author #4
  18. Information Pursuit: A Bayesian Framework for Sequential Scene Parsing cs.CV · 2017 · author #3
  19. Temporal Convolutional Networks for Action Segmentation and Detection cs.CV · 2016 · author #3
  20. Temporal Convolutional Networks: A Unified Approach to Action Segmentation cs.CV · 2016 · author #2
  21. Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering cs.LG · 2016 · author #4
  22. Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation cs.CV · 2016 · author #3
  23. Filtrated Spectral Algebraic Subspace Clustering cs.CV · 2015 · author #2
  24. Algebraic Clustering of Affine Subspaces cs.CV · 2015 · author #2
  25. Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit cs.CV · 2015 · author #3
  26. Global Optimality in Tensor Factorization, Deep Learning, and Beyond cs.NA · 2015 · author #2
  27. Dynamic Template Tracking and Recognition cs.CV · 2012 · author #3
  28. Sparse Subspace Clustering: Algorithm, Theory, and Applications cs.CV · 2012 · author #2
  29. Generalized Principal Component Analysis (GPCA) cs.CV · 2012 · author #1
  30. Block-Sparse Recovery via Convex Optimization math.OC · 2011 · author #2

Mentions

  • 2606.30930 #4 · arxiv_oai · confidence 0.70 Rene Vidal
  • 2606.13594 #7 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1510.04396 #2 · backfill · confidence 0.70 Rene Vidal
  • 1509.06729 #2 · backfill · confidence 0.70 Rene Vidal
  • 1708.07850 #2 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1506.07540 #2 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1507.01238 #3 · backfill · confidence 0.70 Rene Vidal
  • 1506.07540 #2 · backfill · confidence 0.70 Rene Vidal
  • 1204.4476 #3 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1204.4476 #3 · backfill · confidence 0.70 Rene Vidal
  • 1203.1005 #2 · backfill · confidence 0.70 Rene Vidal
  • 1202.4002 #1 · backfill · confidence 0.70 Rene Vidal
  • 1104.0654 #2 · backfill · confidence 0.70 Rene Vidal

Frequent Coauthors