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Rene Vidal

Identifiers

  • name variant Rene Vidal 0.60 · backfill

Papers (54)

  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. A Local Polyak-Lojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models cs.LG · 2025 · author #5
  6. Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization cs.LG · 2025 · author #7
  7. Disentangling Safe and Unsafe Corruptions via Anisotropy and Locality cs.CV · 2025 · author #4
  8. Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery math.OC · 2024 · author #3
  9. Recommendation with Generative Models cs.IR · 2024 · author #7
  10. Multi-modal Generative Models in Recommendation System cs.IR · 2024 · author #2
  11. Large Language Model Driven Recommendation cs.AI · 2024 · author #7
  12. Invertibility of Discrete-Time Linear Systems with Sparse Inputs math.OC · 2024 · author #3
  13. Semantic-aware Video Representation for Few-shot Action Recognition cs.CV · 2023 · author #3
  14. Clustering-based Domain-Incremental Learning cs.LG · 2023 · author #2
  15. Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions cs.LG · 2023 · author #4
  16. Efficient Vision Transformer for Human Pose Estimation via Patch Selection cs.CV · 2023 · author #2
  17. Learning Globally Smooth Functions on Manifolds cs.LG · 2022 · author #4
  18. Interpretable by Design: Learning Predictors by Composing Interpretable Queries cs.CV · 2022 · author #4
  19. The Vision of Self-Evolving Computing Systems cs.SE · 2022 · author #3
  20. Structured Graph Variational Autoencoders for Indoor Furniture layout Generation cs.CV · 2022 · author #5
  21. Boosting RANSAC via Dual Principal Component Pursuit cs.CV · 2021 · author #5
  22. Convergence and Implicit Bias of Gradient Flow on Overparametrized Linear Networks cs.LG · 2021 · author #3
  23. Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces cs.LG · 2020 · author #4
  24. Is an Affine Constraint Needed for Affine Subspace Clustering? cs.LG · 2020 · author #4
  25. Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis cs.LG · 2019 · author #2
  26. What is the Largest Sparsity Pattern that Can Be Recovered by 1-Norm Minimization? eess.SP · 2019 · author #3
  27. Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms cs.LG · 2018 · author #5
  28. Nonconvex Robust Low-rank Matrix Recovery cs.IT · 2018 · author #4
  29. On the Implicit Bias of Dropout cs.LG · 2018 · author #3
  30. A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images cs.CV · 2018 · author #3
  31. Theoretical Analysis of Sparse Subspace Clustering with Missing Entries cs.LG · 2018 · author #2
  32. Mathematics of Deep Learning cs.LG · 2017 · author #1
  33. Stretching Domain Adaptation: How far is too far? cs.CV · 2017 · author #3
  34. Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images cs.CV · 2017 · author #3
  35. Dropout as a Low-Rank Regularizer for Matrix Factorization cs.LG · 2017 · author #6
  36. Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications cs.LG · 2017 · author #2
  37. 3D Pose Regression using Convolutional Neural Networks cs.CV · 2017 · author #3
  38. Hyperplane Clustering Via Dual Principal Component Pursuit cs.CV · 2017 · author #2
  39. Curriculum Dropout cs.NE · 2017 · author #4
  40. Information Pursuit: A Bayesian Framework for Sequential Scene Parsing cs.CV · 2017 · author #3
  41. Temporal Convolutional Networks for Action Segmentation and Detection cs.CV · 2016 · author #3
  42. Temporal Convolutional Networks: A Unified Approach to Action Segmentation cs.CV · 2016 · author #2
  43. Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering cs.LG · 2016 · author #4
  44. Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation cs.CV · 2016 · author #3
  45. Filtrated Spectral Algebraic Subspace Clustering cs.CV · 2015 · author #2
  46. Dual Principal Component Pursuit cs.CV · 2015 · author #2
  47. Algebraic Clustering of Affine Subspaces cs.CV · 2015 · author #2
  48. Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit cs.CV · 2015 · author #3
  49. Global Optimality in Tensor Factorization, Deep Learning, and Beyond cs.NA · 2015 · author #2
  50. Filtrated Algebraic Subspace Clustering cs.CV · 2015 · author #2
  51. Dynamic Template Tracking and Recognition cs.CV · 2012 · author #3
  52. Sparse Subspace Clustering: Algorithm, Theory, and Applications cs.CV · 2012 · author #2
  53. Generalized Principal Component Analysis (GPCA) cs.CV · 2012 · author #1
  54. Block-Sparse Recovery via Convex Optimization math.OC · 2011 · author #2

Mentions

  • 2409.15173 #7 · arxiv_oai · confidence 0.70 Rene Vidal
  • 2410.16826 #3 · arxiv_oai · confidence 0.70 Rene Vidal
  • 2408.10946 #7 · arxiv_oai · confidence 0.70 Rene Vidal
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  • 2409.10993 #2 · arxiv_oai · confidence 0.70 Rene Vidal
  • 2403.20294 #3 · arxiv_oai · confidence 0.70 Rene Vidal
  • 2306.04225 #2 · arxiv_oai · confidence 0.70 Rene Vidal
  • 2311.06218 #3 · arxiv_oai · confidence 0.70 Rene Vidal
  • 2309.12078 #2 · arxiv_oai · confidence 0.70 Rene Vidal
  • 2308.12562 #4 · arxiv_oai · confidence 0.70 Rene Vidal
  • 2210.00301 #4 · arxiv_oai · confidence 0.70 Rene Vidal
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  • 2110.02918 #5 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1910.05652 #3 · arxiv_oai · confidence 0.70 Rene Vidal
  • 2006.04246 #4 · arxiv_oai · confidence 0.70 Rene Vidal
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  • 1506.06289 #2 · arxiv_oai · confidence 0.70 Rene Vidal
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  • 1509.06729 #2 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1809.09237 #4 · arxiv_oai · confidence 0.70 Rene Vidal
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  • 1712.02286 #3 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1711.07426 #3 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1806.09777 #3 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1805.03225 #3 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1712.04741 #1 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1710.05092 #6 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1708.05628 #3 · arxiv_oai · confidence 0.70 Rene Vidal
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  • 1701.02343 #3 · arxiv_oai · confidence 0.70 Rene Vidal
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  • 1507.01238 #3 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1510.04396 #2 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1104.0654 #2 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1203.1005 #2 · arxiv_oai · confidence 0.70 Rene Vidal
  • 1202.4002 #1 · arxiv_oai · confidence 0.70 Rene Vidal
  • 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