← Authors

René Vidal

83 papers · 2006–2025 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🏃 Academic Marathon (19) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (9) 🗺️ Taxonomy Completionist (22) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏠 Conference Loyalist (21) 🌟 Keyword Trendsetter Combo (3) 👑 Triple Crown 🏆 Keyword Champion 🔬 Deep Specialist (16) 🌱 Topic Pioneer 🗃️ Keyword Collector (68) ⚡ Prolific Year (6) 🚀 Conference Pioneer 📈 Trend Setter ❓ The Questioner (2) 💎 Century Club (83) 🔥 Unstoppable (15)

Conferences

ICML (21) CVPR (16) NIPS (13) ICCV (8) ICLR (8) AISTATS (6) ECCV (3) ACL (2) MICCAI (2) WACV (2) JMLR (1) L4DC (1)

Top co-authors

Hancheng Min (9) Chong You (9) Tianjiao Ding (8) Aditya Chattopadhyay (8) Daniel Robinson (8) Liangzu Peng (7) Benjamin David Haeffele (7) Zhihui Zhu (6) Enrique Mallada (6) Kwan Ho Ryan Chan (6)

Research topics

Analysis (1)

Keywords

non-convex optimization (8) subspace clustering (8) outlier detection (6) subspace learning (6) dual principal component pursuit (5) spectral clustering (5) sparse coding (4) dimensionality reduction (4) representation learning (4) convex optimization (4) matrix factorization (4) sparse representation (4) video segmentation (3) riemannian optimization (3) motion segmentation (3) sparse recovery (3) dictionary learning (3) gradient descent (3) adversarial robustness (3) sparse optimization (3)

Papers

Concept Lancet: Image Editing with Compositional Representation Transplant CVPR 2025
Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality CVPR 2025
Nonconvex Linear System Identification with Minimal State Representation L4DC 2025
Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs ICML 2025
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery ICML 2025
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning ICLR 2025
InCoDe: Interpretable Compressed Descriptions For Image Generation ICLR 2025
IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports MICCAI 2025
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization AISTATS 2025
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks AISTATS 2025
Voyaging into Perpetual Dynamic Scenes from a Single View ICCV 2025
Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration ICCV 2025
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit ICCV 2025
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation ACL 2024
iHealth-Chile-3&2 at RRG24: Template Based Report Generation ACL 2024
Scalable 3D Registration via Truncated Entry-wise Absolute Residuals CVPR 2024
Vertex Proportion Loss for Multi-Class Cell Detection from Label Proportions MICCAI 2024
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models ICLR 2024
Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization ICLR 2024
Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification ICLR 2024
Can Implicit Bias Imply Adversarial Robustness? ICML 2024
Performance Bounds for Active Binary Testing with Information Maximization ICML 2024
Semantic-Aware Video Representation for Few-Shot Action Recognition WACV 2024
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024
PaCE: Parsimonious Concept Engineering for Large Language Models NIPS 2024
Geometric Analysis of Nonlinear Manifold Clustering NIPS 2024
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness NIPS 2023
Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI NIPS 2023
Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization AISTATS 2023
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation CVPR 2023
Variational Information Pursuit for Interpretable Predictions ICLR 2023
Learning Globally Smooth Functions on Manifolds ICML 2023
On the Convergence of Gradient Flow on Multi-layer Linear Models ICML 2023
The Ideal Continual Learner: An Agent That Never Forgets ICML 2023
Learning Graph Variational Autoencoders With Constraints and Structured Priors for Conditional Indoor 3D Scene Generation WACV 2023
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension ICLR 2022
Weakly-Supervised Generation and Grounding of Visual Descriptions With Conditional Generative Models CVPR 2022
ARCS: Accurate Rotation and Correspondence Search CVPR 2022
Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not ECCV 2022
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression NIPS 2022
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees ICML 2022
Understanding Doubly Stochastic Clustering ICML 2022
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms AISTATS 2021
A Critique of Self-Expressive Deep Subspace Clustering ICLR 2021
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models ICML 2021
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks ICML 2021
Learning a Self-Expressive Network for Subspace Clustering CVPR 2021
A Nullspace Property for Subspace-Preserving Recovery ICML 2021
Robust Homography Estimation via Dual Principal Component Pursuit CVPR 2020
Representation Learning on Visual-Symbolic Graphs for Video Understanding ECCV 2020
A novel variational form of the Schatten-$p$ quasi-norm NIPS 2020
Conformal Symplectic and Relativistic Optimization NIPS 2020
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses NIPS 2020
On the Regularization Properties of Structured Dropout CVPR 2020
Noisy Dual Principal Component Pursuit ICML 2019
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning NIPS 2019
Is an Affine Constraint Needed for Affine Subspace Clustering? ICCV 2019
Multi-Cell Detection and Classification Using a Generative Convolutional Model CVPR 2018
ADMM and Accelerated ADMM as Continuous Dynamical Systems ICML 2018
On the Implicit Bias of Dropout ICML 2018
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries ICML 2018
Dropout as a Low-Rank Regularizer for Matrix Factorization AISTATS 2018
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms NIPS 2018
Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data ECCV 2018
Dual Principal Component Pursuit JMLR 2018
Temporal Convolutional Networks for Action Segmentation and Detection CVPR 2017
Curriculum Dropout ICCV 2017
Hyperplane Clustering via Dual Principal Component Pursuit ICML 2017
Global Optimality in Neural Network Training CVPR 2017
Provable Self-Representation Based Outlier Detection in a Union of Subspaces CVPR 2017
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering CVPR 2016
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit CVPR 2016
Geometric Conditions for Subspace-Sparse Recovery ICML 2015
Structured Sparse Subspace Clustering: A Unified Optimization Framework CVPR 2015
Sparse Subspace Clustering with Missing Entries ICML 2015
Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing ICML 2014
Latent Space Sparse Subspace Clustering ICCV 2013
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition ICCV 2013
Coarse-to-Fine Semantic Video Segmentation Using Supervoxel Trees ICCV 2013
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NIPS 2012
Sparse Manifold Clustering and Embedding NIPS 2011
Online Clustering of Moving Hyperplanes NIPS 2006