René Vidal

ORCID

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 193

Top Venues

Publications

Juan Cerviño, Luiz F. O. Chamon, Benjamin David Haeffele, René Vidal, Alejandro Ribeiro
Learning Globally Smooth Functions on Manifolds. ICML (2023)
Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin D. Haeffele, Donald Geman, René Vidal
Variational Information Pursuit for Interpretable Predictions. CoRR (2023)
Jinqi Luo, Kwan Ho Ryan Chan, Dimitris Dimos, René Vidal
Knowledge Pursuit Prompting for Zero-Shot Multimodal Synthesis. CoRR (2023)
Yutao Tang, Benjamín Béjar, René Vidal
Semantic-aware Video Representation for Few-shot Action Recognition. CoRR (2023)
Ambar Pal, Jeremias Sulam, René Vidal
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness. CoRR (2023)
Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, René Vidal
Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization. AISTATS (2023)
Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, Donald Geman, René Vidal
Variational Information Pursuit for Interpretable Predictions. ICLR (2023)
Liangzu Peng, Christian Kümmerle, René Vidal
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation. CVPR (2023)
Darshan Thaker, Paris Giampouras, René Vidal
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions. CoRR (2023)
Kyle Poe, Enrique Mallada, René Vidal
-Minimization. CoRR (2023)
Kyle Poe, Enrique Mallada, René Vidal
Necessary and Sufficient Conditions for Simultaneous State and Input Recovery of Linear Systems with Sparse Inputs by ℓ1 -Minimization. CDC (2023)
Kaleab Alemayehu Kinfu, René Vidal
Efficient Vision Transformer for Human Pose Estimation via Patch Selection. BMVC (2023)
Ambar Pal, Jeremias Sulam, René Vidal
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness. NeurIPS (2023)
Liangzu Peng, Paris Giampouras, René Vidal
The Ideal Continual Learner: An Agent That Never Forgets. ICML (2023)
Aditya Chattopadhyay, Ryan Pilgrim, René Vidal
Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI. NeurIPS (2023)
Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Héctor Andrade-Loarca, Gitta Kutyniok, René Vidal
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit. CoRR (2023)
Zhizhang Hu, Xinliang Zhu, Son Tran, René Vidal, Arnab Dhua
ProVLA: Compositional Image Search with Progressive Vision-Language Alignment and Multimodal Fusion. ICCV (Workshops) (2023)
Liangzu Peng, Paris V. Giampouras, René Vidal
The Ideal Continual Learner: An Agent That Never Forgets. CoRR (2023)
Kaleab Alemayehu Kinfu, René Vidal
Efficient Vision Transformer for Human Pose Estimation via Patch Selection. CoRR (2023)
Christiaan Lamers, René Vidal, Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
Clustering-based Domain-Incremental Learning. ICCV (Workshops) (2023)
Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal
Learning Graph Variational Autoencoders with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation. WACV (2023)
Gregory N. McKay, Anisha Oommen, Carolina Pacheco, Mason T. Chen, Stuart C. Ray, René Vidal, Benjamin D. Haeffele, Nicholas J. Durr
Lens Free Holographic Imaging for Urinary Tract Infection Screening. IEEE Trans. Biomed. Eng. 70 (3) (2023)
Hancheng Min, René Vidal, Enrique Mallada
On the Convergence of Gradient Flow on Multi-layer Linear Models. ICML (2023)
Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman
Interpretable by Design: Learning Predictors by Composing Interpretable Queries. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Kwan Ho Ryan Chan, Aditya Chattopadhyay, Benjamin David Haeffele, René Vidal
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions. CoRR (2023)
Hancheng Min, René Vidal, Enrique Mallada
Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization. CoRR (2023)
Guilherme França, Daniel P. Robinson, René Vidal
A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM. IEEE Trans. Autom. Control. 68 (5) (2023)
Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. CoRR (2023)
Christiaan Lamers, René Vidal, Ahmed Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
Clustering-based Domain-Incremental Learning. CoRR (2023)
Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman
Interpretable by Design: Learning Predictors by Composing Interpretable Queries. CoRR (2022)
Liangzu Peng, Manolis C. Tsakiris, René Vidal
ARCS: Accurate Rotation and Correspondence Search. CoRR (2022)
Liangzu Peng, Mahyar Fazlyab, René Vidal
Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search. CoRR (2022)
Paris Giampouras, Benjamin David Haeffele, René Vidal
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension. ICLR (2022)
Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir
The vision of self-evolving computing systems. J. Integr. Des. Process. Sci. 26 (3-4) (2022)
Darshan Thaker, Paris Giampouras, René Vidal
attacks: A block-sparse optimization approach with recovery guarantees. CoRR (2022)
Yutao Tang, Benjamín Béjar, Joey K.-Y. Essoe, Joseph F. McGuire, René Vidal
Facial Tic Detection in Untrimmed Videos of Tourette Syndrome Patients. ICPR (2022)
Liangzu Peng, Christian Kümmerle, René Vidal
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression. NeurIPS (2022)
Chong You, Chi Li, Daniel P. Robinson, René Vidal
Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Liangzu Peng, Manolis C. Tsakiris, René Vidal
ARCS: Accurate Rotation and Correspondence Search. CVPR (2022)
Kaleab Alemayehu Kinfu, René Vidal
Analysis and Extensions of Adversarial Training for Video Classification. CVPR Workshops (2022)
Effrosyni Mavroudi, René Vidal
Weakly-Supervised Generation and Grounding of Visual Descriptions with Conditional Generative Models. CVPR (2022)
Juan Cerviño, Luiz F. O. Chamon, Benjamin D. Haeffele, René Vidal, Alejandro Ribeiro
Learning Globally Smooth Functions on Manifolds. CoRR (2022)
Effrosyni Mavroudi, Prashast Bindal, René Vidal
Actor-Centric Tubelets for Real-Time Activity Detection in Extended Videos. WACV (Workshops) (2022)
Yutao Tang, Benjamín Béjar, Joey K.-Y. Essoe, Joseph F. McGuire, René Vidal
Facial Tic Detection in Untrimmed Videos of Tourette Syndrome Patients. CoRR (2022)
Liangzu Peng, Mahyar Fazlyab, René Vidal
Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not. ECCV (23) (2022)
Ambar Pal, Arnau Ramisa, Amit Kumar K. C, René Vidal
On Utilizing Relationships for Transferable Few-Shot Fine-Grained Object Detection. CoRR (2022)
Darshan Thaker, Paris Giampouras, René Vidal
attacks: A block-sparse optimization approach with recovery guarantees. ICML (2022)
Benjamín Béjar Haro, Ivan Dokmanic, René Vidal
The Fastest $\ell _{1, \infty }$ℓ1, ∞ Prox in the West. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation. CoRR (2022)
Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir
The Vision of Self-Evolving Computing Systems. CoRR (2022)
René Vidal
Semantic Information Pursuit. IMPROVE (2022)
Kaleab Alemayehu Kinfu, René Vidal
Analysis and Extensions of Adversarial Training for Video Classification. CoRR (2022)
Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang
Prospective Learning: Back to the Future. CoRR (2022)
Tianjiao Ding, Derek Lim, René Vidal, Benjamin D. Haeffele
Understanding Doubly Stochastic Clustering. ICML (2022)
Paris V. Giampouras, Benjamin D. Haeffele, René Vidal
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension. CoRR (2022)
Mustafa Devrim Kaba, Chong You, Daniel P. Robinson, Enrique Mallada, René Vidal
A Nullspace Property for Subspace-Preserving Recovery. ICML (2021)
Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir
Lifelong Computing. CoRR (2021)
Shangzhi Zhang, Chong You, René Vidal, Chun-Guang Li
Learning a Self-Expressive Network for Subspace Clustering. CVPR (2021)
Salma Tarmoun, Guilherme França, Benjamin D. Haeffele, René Vidal
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models. ICML (2021)
Hancheng Min, Salma Tarmoun, René Vidal, Enrique Mallada
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks. ICML (2021)
Tianyu Ding, Zhihui Zhu, Manolis C. Tsakiris, René Vidal, Daniel P. Robinson
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms. AISTATS (2021)
Tianyu Ding, Zhihui Zhu, René Vidal, Daniel P. Robinson
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach. ICML (2021)
Hancheng Min, Salma Tarmoun, René Vidal, Enrique Mallada
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks. CoRR (2021)
Shangzhi Zhang, Chong You, René Vidal, Chun-Guang Li
Learning a Self-Expressive Network for Subspace Clustering. CoRR (2021)
Yunchen Yang, Xinyue Zhang, Tianjiao Ding, Daniel P. Robinson, René Vidal, Manolis C. Tsakiris
Boosting RANSAC via Dual Principal Component Pursuit. CoRR (2021)
Mustafa Devrim Kaba, Mengnan Zhao, René Vidal, Daniel P. Robinson, Enrique Mallada
What is the Largest Sparsity Pattern That Can Be Recovered by 1-Norm Minimization? IEEE Trans. Inf. Theory 67 (5) (2021)
Benjamin David Haeffele, Chong You, René Vidal
A Critique of Self-Expressive Deep Subspace Clustering. ICLR (2021)
Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, Manolis C. Tsakiris
Robust Homography Estimation via Dual Principal Component Pursuit. CVPR (2020)
Chong You, Chi Li, Daniel P. Robinson, René Vidal
Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. CoRR (2020)
Paris Giampouras, René Vidal, Athanasios A. Rontogiannis, Benjamin D. Haeffele
A novel variational form of the Schatten-p quasi-norm. CoRR (2020)
Xiao Li, Zhihui Zhu, Anthony Man-Cho So, René Vidal
Nonconvex Robust Low-Rank Matrix Recovery. SIAM J. Optim. 30 (1) (2020)
Carolina Pacheco, Effrosyni Mavroudi, Elena Kokkoni, Herbert G. Tanner, René Vidal
A Detection-based Approach to Multiview Action Classification in Infants. ICPR (2020)
Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal
Representation Learning on Visual-Symbolic Graphs for Video Understanding. ECCV (29) (2020)
Qing Qu, Zhihui Zhu, Xiao Li, Manolis C. Tsakiris, John Wright, René Vidal
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications. CoRR (2020)
Hans Lobel, René Vidal, Alvaro Soto
CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition. Comput. Vis. Image Underst. 191 (2020)
Joan Bruna, Eldad Haber, Gitta Kutyniok, Thomas Pock, René Vidal
Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science. J. Math. Imaging Vis. 62 (3) (2020)
Benjamin D. Haeffele, René Vidal
Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 42 (6) (2020)
Ambar Pal, René Vidal
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses. NeurIPS (2020)
Ambar Pal, René Vidal
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses. CoRR (2020)
Paris Giampouras, René Vidal, Athanasios A. Rontogiannis, Benjamin D. Haeffele
A novel variational form of the Schatten-$p$ quasi-norm. NeurIPS (2020)
Guilherme França, Jeremias Sulam, Daniel P. Robinson, René Vidal
Conformal Symplectic and Relativistic Optimization. NeurIPS (2020)
Benjamin D. Haeffele, Chong You, René Vidal
A Critique of Self-Expressive Deep Subspace Clustering. CoRR (2020)
Derek Lim, René Vidal, Benjamin D. Haeffele
Doubly Stochastic Subspace Clustering. CoRR (2020)
Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele
On the Regularization Properties of Structured Dropout. CVPR (2020)
Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
Is an Affine Constraint Needed for Affine Subspace Clustering? CoRR (2020)
Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele
On the Regularization Properties of Structured Dropout. CoRR (2019)
Connor Lane, Ron Boger, Chong You, Manolis C. Tsakiris, Benjamin D. Haeffele, René Vidal
Classifying and Comparing Approaches to Subspace Clustering with Missing Data. ICCV Workshops (2019)
Carolina Pacheco, René Vidal
An Unsupervised Domain Adaptation Approach to Classification of Stem Cell-Derived Cardiomyocytes. MICCAI (1) (2019)
Evan Schwab, Benjamin D. Haeffele, René Vidal, Nicolas Charon
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI. SIAM J. Imaging Sci. 12 (4) (2019)
Mustafa Devrim Kaba, Mengnan Zhao, René Vidal, Daniel P. Robinson, Enrique Mallada
Generalized Nullspace Property for Structurally Sparse Signals. CoRR (2019)
Florence Yellin, Benjamín Béjar Haro, Benjamin D. Haeffele, Evelien Mathieu, Christian Pick, Stuart C. Ray, René Vidal
Joint Holographic Detection and Reconstruction. MLMI@MICCAI (2019)
Benjamin D. Haeffele, Christian Pick, Ziduo Lin, Evelien Mathieu, Stuart C. Ray, René Vidal
An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images. SASHIMI@MICCAI (2019)
Benjamín Béjar Haro, Ivan Dokmanic, René Vidal
prox in the west. CoRR (2019)
Daniel P. Robinson, René Vidal, Chong You
Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis. CoRR (2019)
Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
Noisy Dual Principal Component Pursuit. ICML (2019)
Connor Lane, Benjamin D. Haeffele, René Vidal
Adaptive Online k-Subspaces with Cooperative Re-Initialization. ICCV Workshops (2019)
Zhihui Zhu, Tianyu Ding, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. NeurIPS (2019)
Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal
Neural Message Passing on Hybrid Spatio-Temporal Visual and Symbolic Graphs for Video Understanding. CoRR (2019)
Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
Is an Affine Constraint Needed for Affine Subspace Clustering? ICCV (2019)
Guilherme França, Daniel P. Robinson, René Vidal
Gradient Flows and Accelerated Proximal Splitting Methods. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

René Vidal