René Vidal - RankMe

433 papers A* 89A 18B 4C 6Misc 3Journal 192Unranked 119

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Test-Time Training: Learning to Reason via Hardware-Efficient Optimal Control. CoRR Peihao Wang, Shan Yang, Xijun Wang, Tesi Xiao, Xin Liu, Changlong Yu, Yu Lou, Pan Li, Zhangyang Wang, Ming Lin, René Vidal
2026	J	`jnl`	Continual Learning Through the Lens of Adaptive Filtering: A mathematical tutorial. IEEE Signal Process. Mag. Liangzu Peng, René Vidal
2026	J	`jnl`	Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification. CoRR Nghia Nguyen, Tianjiao Ding, René Vidal
2026	J	`jnl`	ImageRAGTurbo: Towards One-step Text-to-Image Generation with Retrieval-Augmented Diffusion Models. CoRR Peijie Qiu, Hariharan Ramshankar, Arnau Ramisa, René Vidal, Amit Kumar K. C, Vamsi Salaka, Rahul Bhagat
2026	J	`jnl`	Reliable and Responsible Foundation Models: A Comprehensive Survey. CoRR Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2025	A	`conf`	A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks. AISTATS Uday Kiran Reddy Tadipatri, Benjamin David Haeffele, Joshua Agterberg, René Vidal
2025	J	`jnl`	A Local Polyak-Lojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models. CoRR Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, René Vidal
2025	J	`jnl`	A Local Polyak-Łojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models. Trans. Mach. Learn. Res. Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, René Vidal
2025	—	`conf`	Attention: Self-Expression Is All You Need. CAMSAP René Vidal
2025	J	`jnl`	CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. CoRR Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuowei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng
2025	J	`jnl`	CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. Medical Image Anal. Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuwei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Pingkun Yan, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng
2025	J	`jnl`	Computerized Assessment of Motor Imitation for Distinguishing Autism in Video (CAMI-2DNet). CoRR Kaleab Alemayehu Kinfu, Carolina Pacheco, Alice D. Sperry, Deana Crocetti, Bahar Tunçgenç, Stewart H. Mostofsky, René Vidal
2025	A*	`conf`	Concept Lancet: Image Editing with Compositional Representation Transplant. CVPR Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Hancheng Min, Chris Callison-Burch, René Vidal
2025	J	`jnl`	Concept Lancet: Image Editing with Compositional Representation Transplant. CoRR Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Hancheng Min, Chris Callison-Burch, René Vidal
2025	J	`jnl`	Conformal Information Pursuit for Interactively Guiding Large Language Models. CoRR Kwan Ho Ryan Chan, Yuyan Ge, Edgar Dobriban, Hamed Hassani, René Vidal
2025	J	`jnl`	Convergence Rates for Gradient Descent on the Edge of Stability in Overparametrised Least Squares. CoRR Lachlan Ewen MacDonald, Hancheng Min, Leandro Palma, Salma Tarmoun, Ziqing Xu, René Vidal
2025	J	`jnl`	Disentangling Safe and Unsafe Corruptions via Anisotropy and Locality. CoRR Ramchandran Muthukumar, Ambar Pal, Jeremias Sulam, René Vidal
2025	A*	`conf`	Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality. CVPR Ramchandran Muthukumar, Ambar Pal, Jeremias Sulam, René Vidal
2025	A*	`conf`	Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs. ICML Hancheng Min, René Vidal
2025	A*	`conf`	Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery. ICML Paris Giampouras, HanQin Cai, René Vidal
2025	—	`conf`	IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports. MICCAI (14) Yuyan Ge, Kwan Ho Ryan Chan, Pablo Messina, René Vidal
2025	J	`jnl`	IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports. CoRR Yuyan Ge, Kwan Ho Ryan Chan, Pablo Messina, René Vidal
2025	A*	`conf`	InCoDe: Interpretable Compressed Descriptions For Image Generation. ICLR Armand Comas Massague, Aditya Chattopadhyay, Feliu Formosa, Changyu Liu, Octavia I. Camps, René Vidal
2025	J	`jnl`	KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs. CoRR Buyun Liang, Kwan Ho Ryan Chan, Darshan Thaker, Jinqi Luo, René Vidal
2025	A*	`conf`	LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning. ICLR Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal
2025	J	`jnl`	Mathematics of Continual Learning. CoRR Liangzu Peng, René Vidal
2025	J	`jnl`	Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data. CoRR Hancheng Min, Zhihui Zhu, René Vidal
2025	—	`conf`	Nonconvex Linear System Identification with Minimal State Representation. L4DC Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Joshua Agterberg, Ingvar M. Ziemann, René Vidal
2025	J	`jnl`	Nonconvex Linear System Identification with Minimal State Representation. CoRR Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Joshua Agterberg, Ingvar M. Ziemann, René Vidal
2025	J	`jnl`	Reliable and Responsible Foundation Models. Trans. Mach. Learn. Res. Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2025	J	`jnl`	Report on NSF Workshop on Science of Safe AI. CoRR Rajeev Alur, Greg Durrett, Hadas Kress-Gazit, Corina S. Pasareanu, René Vidal
2025	J	`jnl`	SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations. CoRR Buyun Liang, Liangzu Peng, Jinqi Luo, Darshan Thaker, Kwan Ho Ryan Chan, René Vidal
2025	J	`jnl`	The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS). CoRR Andrew Ferguson, Marisa Lafleur, Lars Ruthotto, Jesse Thaler, Yuan-Sen Ting, Pratyush Tiwary, Soledad Villar, E. Paulo Alves, Jeremy Avigad, Simon Billinge, Camille L. Bilodeau, Keith Brown, Emmanuel J. Candès, Arghya Chattopadhyay, Bingqing Cheng, Jonathan Clausen, Connor W. Coley, Andrew J. Connolly, Fred Daum, Sijia S. Dong, Chrisy Xiyu Du, Cora Dvorkin, Cristiano Fanelli, Eric B. Ford, Luis Manuel Frutos, Nicolás García Trillos, Cecilia Garraffo, Robert Ghrist, Rafael Gómez-Bombarelli, Gianluca Guadagni, Sreelekha Guggilam, Sergei Gukov, Juan B. Gutierrez, Salman Habib, Johannes Hachmann, Boris Hanin, Philip C. Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, Olexandr Isayev, Heng Ji, Aggelos K. Katsaggelos, Jeremy Kepner, Yannis G. Kevrekidis, Michelle P. Kuchera, J. Nathan Kutz, Branislava Lalic, Ann Lee, Matt LeBlanc, Josiah Lim, Rebecca Lindsey, Yongmin Liu, Peter Y. Lu, Sudhir Malik, Vuk Mandic, Vidya B. Manian, Emeka P. Mazi, Pankaj Mehta, Peter Melchior, Brice Ménard, Jennifer Ngadiuba, Stella Offner, Elsa Olivetti, Shyue Ping Ong, Christopher Rackauckas, Philippe Rigollet, Chad Risko, Philip Romero, Grant M. Rotskoff, Brett Savoie, Uros Seljak, David Shih, Gary Shiu, Dima Shlyakhtenko, Eva Silverstein, Taylor Sparks, Thomas Strohmer, Christopher Stubbs, Stephen Thomas, Suriyanarayanan Vaikuntanathan, René Vidal, Francisco Villaescusa-Navarro, Gregory Voth, Benjamin Wandelt, Rachel Ward, Melanie Weber, Risa Wechsler, Stephen Whitelam, Olaf Wiest, Mike Williams, Zhuoran Yang, Yaroslava G. Yingling, Bin Yu, Shuwen Yue, Ann Zabludoff, Huimin Zhao, Tong Zhang
2025	J	`jnl`	Transformers with Joint Tokens and Local-Global Attention for Efficient Human Pose Estimation. CoRR Kaleab Alemayehu Kinfu, René Vidal
2025	A	`conf`	Tutorial on Recommendation with Generative Models (Gen-RecSys). WSDM Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2025	—	`conf`	Understanding Incremental Learning with Closed-form Solution to Gradient Flow on Overparamerterized Matrix Factorization. CDC Hancheng Min, René Vidal
2025	J	`jnl`	Understanding Incremental Learning with Closed-form Solution to Gradient Flow on Overparamerterized Matrix Factorization. CoRR Hancheng Min, René Vidal
2025	A	`conf`	Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization. AISTATS Ziqing Xu, Hancheng Min, Lachlan Ewen MacDonald, Jinqi Luo, Salma Tarmoun, Enrique Mallada, René Vidal
2025	J	`jnl`	Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization. CoRR Ziqing Xu, Hancheng Min, Lachlan Ewen MacDonald, Jinqi Luo, Salma Tarmoun, Enrique Mallada, René Vidal
2025	J	`jnl`	Voyaging into Unbounded Dynamic Scenes from a Single View. CoRR Fengrui Tian, Tianjiao Ding, Jinqi Luo, Hancheng Min, René Vidal
2024	J	`jnl`	A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks. CoRR Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Joshua Agterberg, René Vidal
2024	A*	`conf`	A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). KDD Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2024	J	`jnl`	A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). CoRR Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2024	A*	`conf`	Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification. ICLR Aditya Chattopadhyay, Kwan Ho Ryan Chan, René Vidal
2024	A*	`conf`	Can Implicit Bias Imply Adversarial Robustness? ICML Hancheng Min, René Vidal
2024	J	`jnl`	Can Implicit Bias Imply Adversarial Robustness? CoRR Hancheng Min, René Vidal
2024	J	`jnl`	Certified Robustness against Sparse Adversarial Perturbations via Data Localization. CoRR Ambar Pal, René Vidal, Jeremias Sulam
2024	J	`jnl`	Certified Robustness against Sparse Adversarial Perturbations via Data Localization. Trans. Mach. Learn. Res. Ambar Pal, René Vidal, Jeremias Sulam
2024	—	`conf`	Contextual Knowledge Pursuit for Faithful Visual Synthesis. ECCV Workshops (20) Jinqi Luo, Kwan Ho Ryan Chan, Dimitris Dimos, René Vidal
2024	A*	`conf`	Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization. ICLR Hancheng Min, Enrique Mallada, René Vidal
2024	—	`conf`	Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation. ACL (Findings) Pablo Messina, René Vidal, Denis Parra, Alvaro Soto, Vladimir Araujo
2024	J	`jnl`	Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation. CoRR Pablo Messina, René Vidal, Denis Parra, Álvaro Soto, Vladimir Araujo
2024	J	`jnl`	Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration. CoRR Darshan Thaker, Abhishek Goyal, René Vidal
2024	A*	`conf`	Geometric Analysis of Nonlinear Manifold Clustering. NeurIPS Nimita Shinde, Tianjiao Ding, Daniel P. Robinson, René Vidal
2024	J	`jnl`	Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery. CoRR Paris Giampouras, HanQin Cai, René Vidal
2024	—	`conf`	HARD: Hyperplane ARrangement Descent. CPAL Tianjiao Ding, Liangzu Peng, René Vidal
2024	J	`jnl`	ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models. CoRR Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal
2024	A*	`conf`	Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. ICLR Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma
2024	—	`conf`	Invertibility of Discrete-Time Linear Systems with Sparse Inputs. CDC Kyle Poe, Enrique Mallada, René Vidal
2024	J	`jnl`	Invertibility of Discrete-Time Linear Systems with Sparse Inputs. CoRR Kyle Poe, Enrique Mallada, René Vidal
2024	J	`jnl`	Large Language Model Driven Recommendation. CoRR Anton Korikov, Scott Sanner, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Arnau Ramisa, René Vidal, Mahesh Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano, Francesco Ricci
2024	J	`jnl`	Multi-modal Generative Models in Recommendation System. CoRR Arnau Ramisa, René Vidal, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Mahesh Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci
2024	A*	`conf`	PaCE: Parsimonious Concept Engineering for Large Language Models. NeurIPS Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal
2024	J	`jnl`	PaCE: Parsimonious Concept Engineering for Large Language Models. CoRR Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal
2024	A*	`conf`	Performance Bounds for Active Binary Testing with Information Maximization. ICML Aditya Chattopadhyay, Benjamin David Haeffele, René Vidal, Donald Geman
2024	J	`jnl`	Recommendation with Generative Models. CoRR Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci
2024	A*	`conf`	Scalable 3D Registration via Truncated Entry-Wise Absolute Residuals. CVPR Tianyu Huang, Liangzu Peng, René Vidal, Yun-Hui Liu
2024	J	`jnl`	Scalable 3D Registration via Truncated Entry-wise Absolute Residuals. CoRR Tianyu Huang, Liangzu Peng, René Vidal, Yun-Hui Liu
2024	A	`conf`	Semantic-aware Video Representation for Few-shot Action Recognition. WACV Yutao Tang, Benjamín Béjar, René Vidal
2024	A	`conf`	Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities. AISTATS Konstantinos Emmanouilidis, René Vidal, Nicolas Loizou
2024	J	`jnl`	Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities. CoRR Konstantinos Emmanouilidis, René Vidal, Nicolas Loizou
2024	—	`conf`	Vertex Proportion Loss for Multi-class Cell Detection from Label Proportions. MICCAI (12) Carolina Pacheco, Florence Yellin, René Vidal, Benjamin D. Haeffele
2024	—	`conf`	iHealth-Chile-3&2 at RRG24: Template Based Report Generation. BioNLP@ACL Oscar Loch, Pablo Messina, Rafael Elberg, Diego Campanini, Álvaro Soto, René Vidal, Denis Parra
2023	J	`jnl`	A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions. CoRR Darshan Thaker, Paris Giampouras, René Vidal
2023	J	`jnl`	A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM. IEEE Trans. Autom. Control. Guilherme França, Daniel P. Robinson, René Vidal
2023	A*	`conf`	Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness. NeurIPS Ambar Pal, Jeremias Sulam, René Vidal
2023	J	`jnl`	Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness. CoRR Ambar Pal, Jeremias Sulam, René Vidal
2023	—	`conf`	Clustering-based Domain-Incremental Learning. ICCV (Workshops) Christiaan Lamers, René Vidal, Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
2023	J	`jnl`	Clustering-based Domain-Incremental Learning. CoRR Christiaan Lamers, René Vidal, Ahmed Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
2023	J	`jnl`	Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization. CoRR Hancheng Min, René Vidal, Enrique Mallada
2023	A	`conf`	Efficient Vision Transformer for Human Pose Estimation via Patch Selection. BMVC Kaleab Alemayehu Kinfu, René Vidal
2023	J	`jnl`	Efficient Vision Transformer for Human Pose Estimation via Patch Selection. CoRR Kaleab Alemayehu Kinfu, René Vidal
2023	J	`jnl`	Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. CoRR Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma
2023	A*	`conf`	Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI. NeurIPS Aditya Chattopadhyay, Ryan Pilgrim, René Vidal
2023	J	`jnl`	Interpretable by Design: Learning Predictors by Composing Interpretable Queries. IEEE Trans. Pattern Anal. Mach. Intell. Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman
2023	J	`jnl`	Knowledge Pursuit Prompting for Zero-Shot Multimodal Synthesis. CoRR Jinqi Luo, Kwan Ho Ryan Chan, Dimitris Dimos, René Vidal
2023	A*	`conf`	Learning Globally Smooth Functions on Manifolds. ICML Juan Cerviño, Luiz F. O. Chamon, Benjamin David Haeffele, René Vidal, Alejandro Ribeiro
2023	A	`conf`	Learning Graph Variational Autoencoders with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation. WACV Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal
2023	J	`jnl`	Learning Interpretable Queries for Explainable Image Classification with Information Pursuit. CoRR Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Héctor Andrade-Loarca, Gitta Kutyniok, René Vidal
2023	J	`jnl`	Lens Free Holographic Imaging for Urinary Tract Infection Screening. IEEE Trans. Biomed. Eng. Gregory N. McKay, Anisha Oommen, Carolina Pacheco, Mason T. Chen, Stuart C. Ray, René Vidal, Benjamin D. Haeffele, Nicholas J. Durr
2023	A	`conf`	Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization. AISTATS Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, René Vidal
2023	—	`conf`	Necessary and Sufficient Conditions for Simultaneous State and Input Recovery of Linear Systems with Sparse Inputs by ℓ1 -Minimization. CDC Kyle Poe, Enrique Mallada, René Vidal
2023	J	`jnl`	Necessary and Sufficient Conditions for Simultaneous State and Input Recovery of Linear Systems with Sparse Inputs by 𝓁 CoRR Kyle Poe, Enrique Mallada, René Vidal
2023	A*	`conf`	On the Convergence of Gradient Flow on Multi-layer Linear Models. ICML Hancheng Min, René Vidal, Enrique Mallada
2023	A*	`conf`	On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation. CVPR Liangzu Peng, Christian Kümmerle, René Vidal
2023	—	`conf`	ProVLA: Compositional Image Search with Progressive Vision-Language Alignment and Multimodal Fusion. ICCV (Workshops) Zhizhang Hu, Xinliang Zhu, Son Tran, René Vidal, Arnab Dhua
2023	J	`jnl`	Semantic-aware Video Representation for Few-shot Action Recognition. CoRR Yutao Tang, Benjamín Béjar, René Vidal
2023	A*	`conf`	The Ideal Continual Learner: An Agent That Never Forgets. ICML Liangzu Peng, Paris Giampouras, René Vidal
2023	J	`jnl`	The Ideal Continual Learner: An Agent That Never Forgets. CoRR Liangzu Peng, Paris V. Giampouras, René Vidal
2023	A*	`conf`	Variational Information Pursuit for Interpretable Predictions. ICLR Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, Donald Geman, René Vidal
2023	J	`jnl`	Variational Information Pursuit for Interpretable Predictions. CoRR Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin D. Haeffele, Donald Geman, René Vidal
2023	J	`jnl`	Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions. CoRR Kwan Ho Ryan Chan, Aditya Chattopadhyay, Benjamin David Haeffele, René Vidal
2022	A*	`conf`	ARCS: Accurate Rotation and Correspondence Search. CVPR Liangzu Peng, Manolis C. Tsakiris, René Vidal
2022	J	`jnl`	ARCS: Accurate Rotation and Correspondence Search. CoRR Liangzu Peng, Manolis C. Tsakiris, René Vidal
2022	—	`conf`	Actor-Centric Tubelets for Real-Time Activity Detection in Extended Videos. WACV (Workshops) Effrosyni Mavroudi, Prashast Bindal, René Vidal
2022	—	`conf`	Analysis and Extensions of Adversarial Training for Video Classification. CVPR Workshops Kaleab Alemayehu Kinfu, René Vidal
2022	J	`jnl`	Analysis and Extensions of Adversarial Training for Video Classification. CoRR Kaleab Alemayehu Kinfu, René Vidal
2022	B	`conf`	Facial Tic Detection in Untrimmed Videos of Tourette Syndrome Patients. ICPR Yutao Tang, Benjamín Béjar, Joey K.-Y. Essoe, Joseph F. McGuire, René Vidal
2022	J	`jnl`	Facial Tic Detection in Untrimmed Videos of Tourette Syndrome Patients. CoRR Yutao Tang, Benjamín Béjar, Joey K.-Y. Essoe, Joseph F. McGuire, René Vidal
2022	A*	`conf`	Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression. NeurIPS Liangzu Peng, Christian Kümmerle, René Vidal
2022	A*	`conf`	Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension. ICLR Paris Giampouras, Benjamin David Haeffele, René Vidal
2022	J	`jnl`	Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension. CoRR Paris V. Giampouras, Benjamin D. Haeffele, René Vidal
2022	J	`jnl`	Interpretable by Design: Learning Predictors by Composing Interpretable Queries. CoRR Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman
2022	J	`jnl`	Learning Globally Smooth Functions on Manifolds. CoRR Juan Cerviño, Luiz F. O. Chamon, Benjamin D. Haeffele, René Vidal, Alejandro Ribeiro
2022	J	`jnl`	On Utilizing Relationships for Transferable Few-Shot Fine-Grained Object Detection. CoRR Ambar Pal, Arnau Ramisa, Amit Kumar K. C, René Vidal
2022	J	`jnl`	Prospective Learning: Back to the Future. CoRR Joshua T. Vogelstein, Timothy D. 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 S. 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 L. Platt, Lyle H. 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
2022	A*	`conf`	Reverse Engineering ℓ ICML Darshan Thaker, Paris Giampouras, René Vidal
2022	J	`jnl`	Reverse Engineering 𝓁 CoRR Darshan Thaker, Paris Giampouras, René Vidal
2022	J	`jnl`	Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. Chong You, Chi Li, Daniel P. Robinson, René Vidal
2022	—	`conf`	Semantic Information Pursuit. IMPROVE René Vidal
2022	—	`conf`	Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not. ECCV (23) Liangzu Peng, Mahyar Fazlyab, René Vidal
2022	J	`jnl`	Structured Graph Variational Autoencoders for Indoor Furniture layout Generation. CoRR Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal
2022	J	`jnl`	The Fastest $\ell _{1, \infty }$ℓ1, ∞ Prox in the West. IEEE Trans. Pattern Anal. Mach. Intell. Benjamín Béjar Haro, Ivan Dokmanic, René Vidal
2022	J	`jnl`	The Vision of Self-Evolving Computing Systems. CoRR Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir
2022	J	`jnl`	The vision of self-evolving computing systems. J. Integr. Des. Process. Sci. Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir
2022	J	`jnl`	Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search. CoRR Liangzu Peng, Mahyar Fazlyab, René Vidal
2022	A*	`conf`	Understanding Doubly Stochastic Clustering. ICML Tianjiao Ding, Derek Lim, René Vidal, Benjamin D. Haeffele
2022	A*	`conf`	Weakly-Supervised Generation and Grounding of Visual Descriptions with Conditional Generative Models. CVPR Effrosyni Mavroudi, René Vidal
2021	A*	`conf`	A Critique of Self-Expressive Deep Subspace Clustering. ICLR Benjamin David Haeffele, Chong You, René Vidal
2021	A*	`conf`	A Nullspace Property for Subspace-Preserving Recovery. ICML Mustafa Devrim Kaba, Chong You, Daniel P. Robinson, Enrique Mallada, René Vidal
2021	J	`jnl`	Boosting RANSAC via Dual Principal Component Pursuit. CoRR Yunchen Yang, Xinyue Zhang, Tianjiao Ding, Daniel P. Robinson, René Vidal, Manolis C. Tsakiris
2021	A	`conf`	Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms. AISTATS Tianyu Ding, Zhihui Zhu, Manolis C. Tsakiris, René Vidal, Daniel P. Robinson
2021	A*	`conf`	Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach. ICML Tianyu Ding, Zhihui Zhu, René Vidal, Daniel P. Robinson
2021	A*	`conf`	Learning a Self-Expressive Network for Subspace Clustering. CVPR Shangzhi Zhang, Chong You, René Vidal, Chun-Guang Li
2021	J	`jnl`	Learning a Self-Expressive Network for Subspace Clustering. CoRR Shangzhi Zhang, Chong You, René Vidal, Chun-Guang Li
2021	J	`jnl`	Lifelong Computing. CoRR Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir
2021	A*	`conf`	On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks. ICML Hancheng Min, Salma Tarmoun, René Vidal, Enrique Mallada
2021	J	`jnl`	On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks. CoRR Hancheng Min, Salma Tarmoun, René Vidal, Enrique Mallada
2021	A*	`conf`	Understanding the Dynamics of Gradient Flow in Overparameterized Linear models. ICML Salma Tarmoun, Guilherme França, Benjamin D. Haeffele, René Vidal
2021	J	`jnl`	What is the Largest Sparsity Pattern That Can Be Recovered by 1-Norm Minimization? IEEE Trans. Inf. Theory Mustafa Devrim Kaba, Mengnan Zhao, René Vidal, Daniel P. Robinson, Enrique Mallada
2020	J	`jnl`	A Critique of Self-Expressive Deep Subspace Clustering. CoRR Benjamin D. Haeffele, Chong You, René Vidal
2020	B	`conf`	A Detection-based Approach to Multiview Action Classification in Infants. ICPR Carolina Pacheco, Effrosyni Mavroudi, Elena Kokkoni, Herbert G. Tanner, René Vidal
2020	A*	`conf`	A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses. NeurIPS Ambar Pal, René Vidal
2020	J	`jnl`	A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses. CoRR Ambar Pal, René Vidal
2020	A*	`conf`	A novel variational form of the Schatten-$p$ quasi-norm. NeurIPS Paris Giampouras, René Vidal, Athanasios A. Rontogiannis, Benjamin D. Haeffele
2020	J	`jnl`	A novel variational form of the Schatten-p quasi-norm. CoRR Paris Giampouras, René Vidal, Athanasios A. Rontogiannis, Benjamin D. Haeffele
2020	J	`jnl`	CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition. Comput. Vis. Image Underst. Hans Lobel, René Vidal, Alvaro Soto
2020	A*	`conf`	Conformal Symplectic and Relativistic Optimization. NeurIPS Guilherme França, Jeremias Sulam, Daniel P. Robinson, René Vidal
2020	J	`jnl`	Doubly Stochastic Subspace Clustering. CoRR Derek Lim, René Vidal, Benjamin D. Haeffele
2020	J	`jnl`	Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications. CoRR Qing Qu, Zhihui Zhu, Xiao Li, Manolis C. Tsakiris, John Wright, René Vidal
2020	J	`jnl`	Is an Affine Constraint Needed for Affine Subspace Clustering? CoRR Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
2020	J	`jnl`	Nonconvex Robust Low-Rank Matrix Recovery. SIAM J. Optim. Xiao Li, Zhihui Zhu, Anthony Man-Cho So, René Vidal
2020	A*	`conf`	On the Regularization Properties of Structured Dropout. CVPR Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele
2020	—	`conf`	Representation Learning on Visual-Symbolic Graphs for Video Understanding. ECCV (29) Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal
2020	A*	`conf`	Robust Homography Estimation via Dual Principal Component Pursuit. CVPR Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, Manolis C. Tsakiris
2020	J	`jnl`	Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. CoRR Chong You, Chi Li, Daniel P. Robinson, René Vidal
2020	J	`jnl`	Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science. J. Math. Imaging Vis. Joan Bruna, Eldad Haber, Gitta Kutyniok, Thomas Pock, René Vidal
2020	J	`jnl`	Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. Benjamin D. Haeffele, René Vidal
2019	A*	`conf`	A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. NeurIPS Zhihui Zhu, Tianyu Ding, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
2019	—	`conf`	Adaptive Online k-Subspaces with Cooperative Re-Initialization. ICCV Workshops Connor Lane, Benjamin D. Haeffele, René Vidal
2019	—	`conf`	An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images. SASHIMI@MICCAI Benjamin D. Haeffele, Christian Pick, Ziduo Lin, Evelien Mathieu, Stuart C. Ray, René Vidal
2019	—	`conf`	An Unsupervised Domain Adaptation Approach to Classification of Stem Cell-Derived Cardiomyocytes. MICCAI (1) Carolina Pacheco, René Vidal
2019	J	`jnl`	Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis. CoRR Daniel P. Robinson, René Vidal, Chong You
2019	—	`conf`	Classifying and Comparing Approaches to Subspace Clustering with Missing Data. ICCV Workshops Connor Lane, Ron Boger, Chong You, Manolis C. Tsakiris, Benjamin D. Haeffele, René Vidal
2019	J	`jnl`	Generalized Nullspace Property for Structurally Sparse Signals. CoRR Mustafa Devrim Kaba, Mengnan Zhao, René Vidal, Daniel P. Robinson, Enrique Mallada
2019	J	`jnl`	Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI. SIAM J. Imaging Sci. Evan Schwab, Benjamin D. Haeffele, René Vidal, Nicolas Charon
2019	J	`jnl`	Gradient Flows and Accelerated Proximal Splitting Methods. CoRR Guilherme França, Daniel P. Robinson, René Vidal
2019	A*	`conf`	Is an Affine Constraint Needed for Affine Subspace Clustering? ICCV Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
2019	—	`conf`	Joint Holographic Detection and Reconstruction. MLMI@MICCAI Florence Yellin, Benjamín Béjar Haro, Benjamin D. Haeffele, Evelien Mathieu, Christian Pick, Stuart C. Ray, René Vidal
2019	J	`jnl`	Neural Message Passing on Hybrid Spatio-Temporal Visual and Symbolic Graphs for Video Understanding. CoRR Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal
2019	A*	`conf`	Noisy Dual Principal Component Pursuit. ICML Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
2019	J	`jnl`	On the Regularization Properties of Structured Dropout. CoRR Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele
2019	J	`jnl`	The fastest 𝓁 CoRR Benjamín Béjar Haro, Ivan Dokmanic, René Vidal
2018	A	`conf`	A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images. BMVC Siddharth Mahendran, Haider Ali, René Vidal
2018	J	`jnl`	A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images. CoRR Siddharth Mahendran, Haider Ali, René Vidal
2018	—	`conf`	A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data. ECCV (9) Chong You, Chi Li, Daniel P. Robinson, René Vidal
2018	J	`jnl`	A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis. Comput. Optim. Appl. Hao Jiang, Daniel P. Robinson, René Vidal, Chong You
2018	A*	`conf`	ADMM and Accelerated ADMM as Continuous Dynamical Systems. ICML Guilherme França, Daniel P. Robinson, René Vidal
2018	J	`jnl`	Algebraic Clustering of Affine Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. Manolis C. Tsakiris, René Vidal
2018	—	`conf`	Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images. ECCV Workshops (1) Siddharth Mahendran, Haider Ali, René Vidal
2018	A	`conf`	Dropout as a Low-Rank Regularizer for Matrix Factorization. AISTATS Jacopo Cavazza, Pietro Morerio, Benjamin D. Haeffele, Connor Lane, Vittorio Murino, René Vidal
2018	J	`jnl`	Dual Principal Component Pursuit. J. Mach. Learn. Res. Manolis C. Tsakiris, René Vidal
2018	A*	`conf`	Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms. NeurIPS Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris
2018	J	`jnl`	Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms. CoRR Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris
2018	A	`conf`	End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding. WACV Effrosyni Mavroudi, Divya Bhaskara, Shahin Sefati, Haider Ali, René Vidal
2018	J	`jnl`	End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding. CoRR Effrosyni Mavroudi, Divya Bhaskara, Shahin Sefati, Haider Ali, René Vidal
2018	J	`jnl`	Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications. IEEE J. Sel. Top. Signal Process. Thierry Bouwmans, Namrata Vaswani, Paul Rodríguez, René Vidal, Zhouchen Lin
2018	J	`jnl`	Joint spatial-angular sparse coding for dMRI with separable dictionaries. Medical Image Anal. Evan Schwab, René Vidal, Nicolas Charon
2018	J	`jnl`	Monocular Object Orientation Estimation using Riemannian Regression and Classification Networks. CoRR Siddharth Mahendran, Ming Yang Lu, Haider Ali, René Vidal
2018	A*	`conf`	Multi-Cell Detection and Classification Using a Generative Convolutional Model. CVPR Florence Yellin, Benjamin D. Haeffele, Sophie Roth, René Vidal
2018	J	`jnl`	Nonconvex Robust Low-rank Matrix Recovery. CoRR Xiao Li, Zhihui Zhu, Anthony Man-Cho So, René Vidal
2018	J	`jnl`	On Geometric Analysis of Affine Sparse Subspace Clustering. CoRR Chun-Guang Li, Chong You, René Vidal
2018	J	`jnl`	On Geometric Analysis of Affine Sparse Subspace Clustering. IEEE J. Sel. Top. Signal Process. Chun-Guang Li, Chong You, René Vidal
2018	A*	`conf`	On the Implicit Bias of Dropout. ICML Poorya Mianjy, Raman Arora, René Vidal
2018	J	`jnl`	On the Implicit Bias of Dropout. CoRR Poorya Mianjy, Raman Arora, René Vidal
2018	J	`jnl`	Realization Theory for a Class of Stochastic Bilinear Systems. IEEE Trans. Autom. Control. Mihály Petreczky, René Vidal
2018	—	`conf`	Recurrent Neural Networks for Classifying Human Embryonic Stem Cell-Derived Cardiomyocytes. MICCAI (1) Carolina Pacheco, René Vidal
2018	J	`jnl`	Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI. CoRR Evan Schwab, Benjamin D. Haeffele, Nicolas Charon, René Vidal
2018	—	`conf`	Sparse Recovery over Graph Incidence Matrices. CDC Mengnan Zhao, M. Devrim Kaba, René Vidal, Daniel P. Robinson, Enrique Mallada
2018	J	`jnl`	Sparse Recovery over Graph Incidence Matrices: Polynomial Time Guarantees and Location Dependent Performance. CoRR Mengnan Zhao, M. Devrim Kaba, René Vidal, Daniel P. Robinson, Enrique Mallada
2018	A*	`conf`	Theoretical Analysis of Sparse Subspace Clustering with Missing Entries. ICML Manolis C. Tsakiris, René Vidal
2018	J	`jnl`	Theoretical Analysis of Sparse Subspace Clustering with Missing Entries. CoRR Manolis C. Tsakiris, René Vidal
2017	J	`jnl`	($k, q$)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior. CoRR Evan Schwab, René Vidal, Nicolas Charon
2017	—	`conf`	3D Pose Regression Using Convolutional Neural Networks. CVPR Workshops Siddharth Mahendran, Haider Ali, René Vidal
2017	—	`conf`	3D Pose Regression Using Convolutional Neural Networks. ICCV Workshops Siddharth Mahendran, Haider Ali, René Vidal
2017	J	`jnl`	3D Pose Regression using Convolutional Neural Networks. CoRR Siddharth Mahendran, Haider Ali, René Vidal
2017	J	`jnl`	A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery. IEEE Trans. Biomed. Eng. Narges Ahmidi, Lingling Tao, Shahin Sefati, Yixin Gao, Colin Lea, Benjamín Béjar Haro, Luca Zappella, Sanjeev Khudanpur, René Vidal, Gregory D. Hager
2017	J	`jnl`	An Analysis of Dropout for Matrix Factorization. CoRR Jacopo Cavazza, Connor Lane, Benjamin D. Haeffele, Vittorio Murino, René Vidal
2017	—	`conf`	Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and coding. ISBI Florence Yellin, Benjamin D. Haeffele, René Vidal
2017	J	`jnl`	Bundle Reduction and the Alignment Distance on Spaces of State-Space LTI Systems. IEEE Trans. Autom. Control. Bijan Afsari, René Vidal
2017	A*	`conf`	Curriculum Dropout. ICCV Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, René Vidal, Vittorio Murino
2017	J	`jnl`	Curriculum Dropout. CoRR Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, René Vidal, Vittorio Murino
2017	J	`jnl`	Deep Learning for Computer Vision (Dagstuhl Seminar 17391). Dagstuhl Reports Daniel Cremers, Laura Leal-Taixé, René Vidal
2017	A	`conf`	Deep Moving Poselets for Video Based Action Recognition. WACV Effrosyni Mavroudi, Lingling Tao, René Vidal
2017	J	`jnl`	Dropout as a Low-Rank Regularizer for Matrix Factorization. CoRR Jacopo Cavazza, Pietro Morerio, Benjamin D. Haeffele, Connor Lane, Vittorio Murino, René Vidal
2017	—	`conf`	Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery. MICCAI (2) Benjamin D. Haeffele, Richard Stahl, Geert Vanmeerbeeck, René Vidal
2017	J	`jnl`	Filtrated Algebraic Subspace Clustering. SIAM J. Imaging Sci. Manolis C. Tsakiris, René Vidal
2017	A*	`conf`	Global Optimality in Neural Network Training. CVPR Benjamin D. Haeffele, René Vidal
2017	J	`jnl`	Guest Editorial: Best Papers from ICCV 2015. Int. J. Comput. Vis. Katsushi Ikeuchi, Christoph Schnörr, Josef Sivic, René Vidal
2017	B	`conf`	High angular resolution light field reconstruction with coded-aperture mask. ICIP Wanxin Qu, Guoqing Zhou, Hao Zhu, Zhaolin Xiao, Qing Wang, René Vidal
2017	J	`jnl`	Hyperplane Clustering Via Dual Principal Component Pursuit. CoRR Manolis C. Tsakiris, René Vidal
2017	A*	`conf`	Hyperplane Clustering via Dual Principal Component Pursuit. ICML Manolis C. Tsakiris, René Vidal
2017	J	`jnl`	Information Pursuit: A Bayesian Framework for Sequential Scene Parsing. CoRR Ehsan Jahangiri, Erdem Yörük, René Vidal, Laurent Younes, Donald Geman
2017	J	`jnl`	Joint Object Category and 3D Pose Estimation from 2D Images. CoRR Siddharth Mahendran, Haider Ali, René Vidal
2017	J	`jnl`	Mathematics of Deep Learning. CoRR René Vidal, Joan Bruna, Raja Giryes, Stefano Soatto
2017	A*	`conf`	Provable Self-Representation Based Outlier Detection in a Union of Subspaces. CVPR Chong You, Daniel P. Robinson, René Vidal
2017	J	`jnl`	Provable Self-Representation Based Outlier Detection in a Union of Subspaces. CoRR Chong You, Daniel P. Robinson, René Vidal
2017	—	`conf`	Removal of the twin image artifact in holographic lens-free imaging by sparse dictionary learning and coding. ISBI Benjamin D. Haeffele, Sophie Roth, Lin Zhou, René Vidal
2017	J	`jnl`	Stretching Domain Adaptation: How far is too far? CoRR Yunhan Zhao, Haider Ali, René Vidal
2017	J	`jnl`	Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications. CoRR Benjamin D. Haeffele, René Vidal
2017	J	`jnl`	Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework. IEEE Trans. Image Process. Chun-Guang Li, Chong You, René Vidal
2017	A*	`conf`	Temporal Convolutional Networks for Action Segmentation and Detection. CVPR Colin Lea, Michael D. Flynn, René Vidal, Austin Reiter, Gregory D. Hager
2016	J	`jnl`	A Structured Sparse Plus Structured Low-Rank Framework for Subspace Clustering and Completion. IEEE Trans. Signal Process. Chun-Guang Li, René Vidal
2016	Misc	`conf`	A divide-and-conquer framework for large-scale subspace clustering. ACSSC Chong You, Claire Donnat, Daniel P. Robinson, René Vidal
2016	J	`jnl`	Efficient Global Spatial-Angular Sparse Coding for Diffusion MRI with Separable Dictionaries. CoRR Evan Schwab, René Vidal, Nicolas Charon
2016	J	`jnl`	Efficient Segmental Inference for Spatiotemporal Modeling of Fine-grained Actions. CoRR Colin Lea, Austin Reiter, René Vidal, Gregory D. Hager
2016	—	`book`	Generalized Principal Component Analysis. René Vidal, Yi Ma, S. Shankar Sastry
2016	J	`jnl`	Guest Editorial: Special Section on CVPR 2014. IEEE Trans. Pattern Anal. Mach. Intell. Ronen Basri, Cornelia Fermüller, Aleix M. Martínez, René Vidal
2016	A*	`conf`	Learning convolutional action primitives for fine-grained action recognition. ICRA Colin Lea, René Vidal, Gregory D. Hager
2016	A*	`conf`	Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering. CVPR Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
2016	J	`jnl`	Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering. CoRR Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
2016	A*	`conf`	Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit. CVPR Chong You, Daniel P. Robinson, René Vidal
2016	—	`conf`	Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation. ECCV (3) Colin Lea, Austin Reiter, René Vidal, Gregory D. Hager
2016	—	`conf`	Spatial-Angular Sparse Coding for HARDI. MICCAI (3) Evan Schwab, René Vidal, Nicolas Charon
2016	J	`jnl`	Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework. CoRR Chun-Guang Li, Chong You, René Vidal
2016	J	`jnl`	Temporal Convolutional Networks for Action Segmentation and Detection. CoRR Colin Lea, Michael D. Flynn, René Vidal, Austin Reiter, Gregory D. Hager
2016	—	`conf`	Temporal Convolutional Networks: A Unified Approach to Action Segmentation. ECCV Workshops (3) Colin Lea, René Vidal, Austin Reiter, Gregory D. Hager
2016	J	`jnl`	Temporal Convolutional Networks: A Unified Approach to Action Segmentation. CoRR Colin Lea, René Vidal, Austin Reiter, Gregory D. Hager
2015	J	`jnl`	Abstract Algebraic Subspace Clustering. CoRR Manolis C. Tsakiris, René Vidal
2015	J	`jnl`	Algebraic Clustering of Affine Subspaces. CoRR Manolis C. Tsakiris, René Vidal
2015	A	`conf`	An Improved Model for Segmentation and Recognition of Fine-Grained Activities with Application to Surgical Training Tasks. WACV Colin Lea, Gregory D. Hager, René Vidal
2015	J	`jnl`	Car Segmentation and Pose Estimation using 3D Object Models. CoRR Siddharth Mahendran, René Vidal
2015	—	`conf`	Dual Principal Component Pursuit. ICCV Workshops Manolis C. Tsakiris, René Vidal
2015	J	`jnl`	Dual Principal Component Pursuit. CoRR Manolis C. Tsakiris, René Vidal
2015	—	`conf`	Filtrated Spectral Algebraic Subspace Clustering. ICCV Workshops Manolis C. Tsakiris, René Vidal
2015	J	`jnl`	Filtrated Spectral Algebraic Subspace Clustering. CoRR Manolis C. Tsakiris, René Vidal
2015	A*	`conf`	Geometric Conditions for Subspace-Sparse Recovery. ICML Chong You, René Vidal
2015	J	`jnl`	Global Optimality in Tensor Factorization, Deep Learning, and Beyond. CoRR Benjamin D. Haeffele, René Vidal
2015	J	`jnl`	Latent Space Sparse and Low-Rank Subspace Clustering. IEEE J. Sel. Top. Signal Process. Vishal M. Patel, Hien Van Nguyen, René Vidal
2015	J	`jnl`	Learning Shared, Discriminative, and Compact Representations for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Hans Lobel, René Vidal, Alvaro Soto
2015	C	`conf`	Linear systems with sparse inputs: Observability and input recovery. ACC Shahin Sefati, Noah J. Cowan, René Vidal
2015	C	`conf`	Model order reduction for discrete-time LTI systems using the alignment distance. ACC Bijan Afsari, René Vidal
2015	—	`conf`	Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition. ICCV Workshops Lingling Tao, René Vidal
2015	J	`jnl`	Sparse Subspace Clustering by Orthogonal Matching Pursuit. CoRR Chong You, René Vidal
2015	A*	`conf`	Sparse Subspace Clustering with Missing Entries. ICML Congyuan Yang, Daniel P. Robinson, René Vidal
2015	A*	`conf`	Structured Sparse Subspace Clustering: A unified optimization framework. CVPR Chun-Guang Li, René Vidal
2015	J	`jnl`	Subspace-Sparse Representation. CoRR Chong You, René Vidal
2014	Misc	`conf`	Abstract algebraic-geometric subspace clustering. ACSSC Manolis C. Tsakiris, René Vidal
2014	J	`jnl`	Automated Grouping of Action Potentials of Human Embryonic Stem Cell-Derived Cardiomyocytes. IEEE Trans. Biomed. Eng. Giann Gorospe, Renjun Zhu, Michal A. Millrod, Elias T. Zambidis, Leslie Tung, René Vidal
2014	J	`jnl`	Distributed 3-D Localization of Camera Sensor Networks From 2-D Image Measurements. IEEE Trans. Autom. Control. Roberto Tron, René Vidal
2014	A	`conf`	How does Quality of Formalized Software Processes Affect Adoption? CAiSE María Cecilia Bastarrica, Gerardo Matturro, Romain Robbes, Luis Silvestre, René Vidal
2014	B	`conf`	Kernel sparse subspace clustering. ICIP Vishal M. Patel, René Vidal
2014	J	`jnl`	Low rank subspace clustering (LRSC). Pattern Recognit. Lett. René Vidal, Paolo Favaro
2014	—	`conf`	Nonnegative ODF estimation via optimal constraint selection. ISBI Soren Wolfers, Evan Schwab, René Vidal
2014	J	`jnl`	Segmentation of High Angular Resolution Diffusion MRI Using Sparse Riemannian Manifold Clustering. IEEE Trans. Medical Imaging Hasan Ertan Çetingül, Margaret J. Wright, Paul M. Thompson, René Vidal
2014	J	`jnl`	Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition. J. Vis. Commun. Image Represent. Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, René Vidal, Ruzena Bajcsy
2014	—	`conf`	Sparse Dictionaries for Semantic Segmentation. ECCV (5) Lingling Tao, Fatih Porikli, René Vidal
2014	A*	`conf`	Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing. ICML Benjamin D. Haeffele, Eric Young, René Vidal
2013	—	`conf`	A Metamorphosis Distance for Embryonic Cardiac Action Potential Interpolation and Classification. MICCAI (1) Giann Gorospe, Laurent Younes, Leslie Tung, René Vidal
2013	J	`jnl`	Are Software Analytics Efforts Worthwhile for Small Companies? The Case of Amisoft. IEEE Softw. Romain Robbes, René Vidal, María Cecilia Bastarrica
2013	A	`conf`	Berkeley MHAD: A comprehensive Multimodal Human Action Database. WACV Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, René Vidal, Ruzena Bajcsy
2013	—	`conf`	Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition. CVPR Workshops Rizwan Chaudhry, Ferda Ofli, Gregorij Kurillo, Ruzena Bajcsy, René Vidal
2013	J	`jnl`	Categorizing Dynamic Textures Using a Bag of Dynamical Systems. IEEE Trans. Pattern Anal. Mach. Intell. Avinash Ravichandran, Rizwan Chaudhry, René Vidal
2013	A*	`conf`	Coarse-to-Fine Semantic Video Segmentation Using Supervoxel Trees. ICCV Aastha Jain, Shuanak Chatterjee, René Vidal
2013	J	`jnl`	Dynamic Template Tracking and Recognition. Int. J. Comput. Vis. Rizwan Chaudhry, Gregory D. Hager, René Vidal
2013	—	`conf`	Efficient Object Localization and Pose Estimation with 3D Wireframe Models. ICCV Workshops Erdem Yörük, René Vidal
2013	—	`conf`	Fast Jacobi-type algorithm for computing distances between linear dynamical systems. ECC Nicolas D. Jimenez, Bijan Afsari, René Vidal
2013	—	`conf`	Group Action Induced Distances on Spaces of High-Dimensional Linear Stochastic Processes. GSI Bijan Afsari, René Vidal
2013	A*	`conf`	Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition. ICCV Hans Lobel, René Vidal, Alvaro Soto
2013	—	`conf`	Initial-state invariant Binet-Cauchy kernels for the comparison of Linear Dynamical Systems. CDC Rizwan Chaudhry, René Vidal
2013	C	`conf`	Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework. PSIVT Hans Lobel, René Vidal, Domingo Mery, Alvaro Soto
2013	A*	`conf`	Latent Space Sparse Subspace Clustering. ICCV Vishal M. Patel, Hien Van Nguyen, René Vidal
2013	J	`jnl`	On the Convergence of Gradient Descent for Finding the Riemannian Center of Mass. SIAM J. Control. Optim. Bijan Afsari, Roberto Tron, René Vidal
2013	J	`jnl`	Riemannian Consensus for Manifolds With Bounded Curvature. IEEE Trans. Autom. Control. Roberto Tron, Bijan Afsari, René Vidal
2013	—	`conf`	Rotation Invariant Features for HARDI. IPMI Evan Schwab, Hasan Ertan Çetingül, Bijan Afsari, Michael A. Yassa, René Vidal
2013	J	`jnl`	Sparse Subspace Clustering: Algorithm, Theory, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. Ehsan Elhamifar, René Vidal
2013	—	`conf`	String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery. MICCAI (1) Narges Ahmidi, Yixin Gao, Benjamín Béjar Haro, S. Swaroop Vedula, Sanjeev Khudanpur, René Vidal, Gregory D. Hager
2013	—	`conf`	Surgical Gesture Segmentation and Recognition. MICCAI (3) Lingling Tao, Luca Zappella, Gregory D. Hager, René Vidal
2013	J	`jnl`	Surgical gesture classification from video and kinematic data. Medical Image Anal. Luca Zappella, Benjamín Béjar Haro, Gregory D. Hager, René Vidal
2013	—	`conf`	The alignment distance on Spaces of Linear Dynamical Systems. CDC Bijan Afsari, René Vidal
2012	—	`conf`	An algebraic solution to rotation recovery in HARDI from correspondences of orientation distribution functions. ISBI Hasan Ertan Çetingül, Bijan Afsari, René Vidal
2012	J	`jnl`	Block-Sparse Recovery via Convex Optimization. IEEE Trans. Signal Process. Ehsan Elhamifar, René Vidal
2012	J	`jnl`	Dynamic Template Tracking and Recognition CoRR Rizwan Chaudhry, Gregory D. Hager, René Vidal
2012	—	`conf`	Estimation of Non-negative ODFs Using the Eigenvalue Distribution of Spherical Functions. MICCAI (2) Evan Schwab, Bijan Afsari, René Vidal
2012	—	`conf`	Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery. NIPS Ehsan Elhamifar, Guillermo Sapiro, René Vidal
2012	J	`jnl`	Generalized Principal Component Analysis (GPCA) CoRR René Vidal, Yi Ma, Shankar Sastry
2012	—	`conf`	Group action induced averaging for HARDI processing. ISBI Hasan Ertan Çetingül, Bijan Afsari, Margaret J. Wright, Paul M. Thompson, René Vidal
2012	A*	`conf`	Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes. CVPR Bijan Afsari, Rizwan Chaudhry, Avinash Ravichandran, René Vidal
2012	A	`conf`	Image Priors for Image Deblurring with Uncertain Blur. BMVC Daniele Perrone, Avinash Ravichandran, René Vidal, Paolo Favaro
2012	—	`conf`	Intrinsic consensus on SO(3) with almost-global convergence. CDC Roberto Tron, Bijan Afsari, René Vidal
2012	J	`jnl`	On The Convergence of Gradient Descent for Finding the Riemannian Center of Mass CoRR Bijan Afsari, Roberto Tron, René Vidal
2012	A*	`conf`	See all by looking at a few: Sparse modeling for finding representative objects. CVPR Ehsan Elhamifar, Guillermo Sapiro, René Vidal
2012	—	`conf`	Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognition. CVPR Workshops Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, René Vidal, Ruzena Bajcsy
2012	—	`conf`	Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation. IPCAI Lingling Tao, Ehsan Elhamifar, Sanjeev Khudanpur, Gregory D. Hager, René Vidal
2012	J	`jnl`	Sparse Subspace Clustering: Algorithm, Theory, and Applications CoRR Ehsan Elhamifar, René Vidal
2012	—	`conf`	Surgical Gesture Classification from Video Data. MICCAI (1) Benjamín Béjar Haro, Luca Zappella, René Vidal
2012	—	`conf`	Visual Dictionary Learning for Joint Object Categorization and Segmentation. ECCV (5) Aastha Jain, Luca Zappella, Patrick McClure, René Vidal
2011	J	`jnl`	A Computational Focus of Attention Mechanism to Process Shapes Efficiently: Theory CoRR Diego Rother, Simon Schütz, René Vidal
2011	A*	`conf`	A closed form solution to robust subspace estimation and clustering. CVPR Paolo Favaro, René Vidal, Avinash Ravichandran
2011	J	`jnl`	A continuous optimization framework for hybrid system identification. Autom. Fabien Lauer, Gérard Bloch, René Vidal
2011	—	`conf`	A hypothesize-and-bound algorithm for simultaneous object classification, pose estimation and 3D reconstruction from a single 2D image. ICCV Workshops Diego Rother, René Vidal
2011	J	`jnl`	A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry. NeuroImage Alvina Goh, Christophe Lenglet, Paul M. Thompson, René Vidal
2011	C	`conf`	Accelerated corrective consensus: Converge to the exact average at a faster rate. ACC Yin Chen, Roberto Tron, Andreas Terzis, René Vidal
2011	—	`conf`	Average consensus on Riemannian manifolds with bounded curvature. CDC/ECC Roberto Tron, Bijan Afsari, René Vidal
2011	—	`conf`	Corrective consensus with asymmetric wireless links. CDC/ECC Yin Chen, Roberto Tron, Andreas Terzis, René Vidal
2011	J	`jnl`	Dimensionality Reduction via Subspace and Submanifold Learning [From the Guest Editors]. IEEE Signal Process. Mag. Yi Ma, Partha Niyogi, Guillermo Sapiro, René Vidal
2011	J	`jnl`	Distributed Computer Vision Algorithms. IEEE Signal Process. Mag. Roberto Tron, René Vidal
2011	A*	`conf`	Distributed computer vision algorithms through distributed averaging. CVPR Roberto Tron, René Vidal
2011	J	`jnl`	Estimation of Alpha Mattes for Multiple Image Layers. IEEE Trans. Pattern Anal. Mach. Intell. Dheeraj Singaraju, René Vidal
2011	J	`jnl`	Estimation of Local Orientations in Fibrous Structures With Applications to the Purkinje System. IEEE Trans. Biomed. Eng. Hasan Ertan Çetingül, Gernot Plank, Natalia A. Trayanova, René Vidal
2011	J	`jnl`	Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous 3D Shape Reconstruction, Pose Estimation and Classification from a Single 2D Image. CoRR Diego Rother, Siddharth Mahendran, René Vidal
2011	A*	`conf`	Robust classification using structured sparse representation. CVPR Ehsan Elhamifar, René Vidal
2011	—	`conf`	Sparse Manifold Clustering and Embedding. NIPS Ehsan Elhamifar, René Vidal
2011	—	`conf`	Sparse Riemannian manifold clustering for HARDI segmentation. ISBI Hasan Ertan Çetingül, René Vidal
2011	—	`conf`	Sparsity in unions of subspaces for classification and clustering of high-dimensional data. Allerton Ehsan Elhamifar, René Vidal
2011	J	`jnl`	Structured Sparse Recovery via Convex Optimization CoRR Ehsan Elhamifar, René Vidal
2011	J	`jnl`	Subspace Clustering. IEEE Signal Process. Mag. René Vidal
2011	A*	`conf`	Using global bag of features models in random fields for joint categorization and segmentation of objects. CVPR Dheeraj Singaraju, René Vidal
2011	J	`jnl`	Video Registration Using Dynamic Textures. IEEE Trans. Pattern Anal. Mach. Intell. Avinash Ravichandran, René Vidal
2010	—	`conf`	A Unified Approach to Segmentation and Categorization of Dynamic Textures. ACCV (1) Avinash Ravichandran, Paolo Favaro, René Vidal
2010	Misc	`conf`	Clustering disjoint subspaces via sparse representation. ICASSP Ehsan Elhamifar, René Vidal
2010	—	`conf`	Consensus with robustness to outliers via distributed optimization. CDC Jixin Li, Ehsan Elhamifar, I-Jeng Wang, René Vidal
2010	—	`conf`	Corrective consensus: Converging to the exact average. CDC Yin Chen, Roberto Tron, Andreas Terzis, René Vidal
2010	J	`jnl`	Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. Shankar R. Rao, Roberto Tron, René Vidal, Yi Ma
2010	—	`conf`	Nonlinear hybrid system identification with kernel models. CDC Fabien Lauer, Gérard Bloch, René Vidal
2009	A*	`conf`	A nonparametric Riemannian framework for processing high angular resolution diffusion images (HARDI). CVPR Alvina Goh, Christophe Lenglet, Paul M. Thompson, René Vidal
2009	—	`conf`	Distributed calibration of Camera Sensor Networks. ICDSC Ehsan Elhamifar, René Vidal
2009	—	`conf`	Distributed image-based 3-D localization of camera sensor networks. CDC Roberto Tron, René Vidal
2009	—	`conf`	Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity. MICCAI (1) Alvina Goh, Christophe Lenglet, Paul M. Thompson, René Vidal
2009	—	`conf`	Estimation of Multimodal Orientation Distribution Functions from Cardiac MRI for Tracking Purkinje Fibers Through Branchings. ISBI Hasan Ertan Çetingül, Gernot Plank, Natalia A. Trayanova, René Vidal
2009	A*	`conf`	Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions. CVPR Rizwan Chaudhry, Avinash Ravichandran, Gregory D. Hager, René Vidal
2009	A*	`conf`	Intrinsic mean shift for clustering on Stiefel and Grassmann manifolds. CVPR Hasan Ertan Çetingül, René Vidal
2009	A*	`conf`	P-brush: Continuous valued MRFs with normed pairwise distributions for image segmentation. CVPR Dheeraj Singaraju, Leo J. Grady, René Vidal
2009	C	`conf`	Rank tests for the observability of discrete-time jump linear systems with inputs. ACC Ehsan Elhamifar, Mihály Petreczky, René Vidal
2009	A*	`conf`	Sparse subspace clustering. CVPR Ehsan Elhamifar, René Vidal
2009	A*	`conf`	View-invariant dynamic texture recognition using a bag of dynamical systems. CVPR Avinash Ravichandran, Rizwan Chaudhry, René Vidal
2008	—	`conf`	Algebraic Identification of MIMO SARX Models. HSCC Laurent Bako, René Vidal
2008	A*	`conf`	Clustering and dimensionality reduction on Riemannian manifolds. CVPR Alvina Goh, René Vidal
2008	—	`conf`	Distributed pose averaging in camera networks via consensus on SE(3). ICDSC Roberto Tron, René Vidal, Andreas Terzis
2008	A*	`conf`	Interactive image matting for multiple layers. CVPR Dheeraj Singaraju, René Vidal
2008	A*	`conf`	Interactive image segmentation via minimization of quadratic energies on directed graphs. CVPR Dheeraj Singaraju, Leo J. Grady, René Vidal
2008	A*	`conf`	Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories. CVPR Shankar R. Rao, Roberto Tron, René Vidal, Yi Ma
2008	J	`jnl`	Multiframe Motion Segmentation with Missing Data Using PowerFactorization and GPCA. Int. J. Comput. Vis. René Vidal, Roberto Tron, Richard I. Hartley
2008	—	`conf`	Nonlinear filtering for extracting orientation and tracing tubular structures in 2-D medical images. ISBI Hasan Ertan Çetingül, René Vidal, Gernot Plank, Natalia A. Trayanova
2008	—	`conf`	Perspective Nonrigid Shape and Motion Recovery. ECCV (1) Richard I. Hartley, René Vidal
2008	—	`conf`	Realization Theory for Discrete-Time Semi-algebraic Hybrid Systems. HSCC Mihály Petreczky, René Vidal
2008	J	`jnl`	Recursive identification of switched ARX systems. Autom. René Vidal
2008	—	`conf`	Segmenting Fiber Bundles in Diffusion Tensor Images. ECCV (3) Alvina Goh, René Vidal
2008	J	`jnl`	Three-View Multibody Structure from Motion. IEEE Trans. Pattern Anal. Mach. Intell. René Vidal, Richard I. Hartley
2008	—	`conf`	Unsupervised Riemannian Clustering of Probability Density Functions. ECML/PKDD (1) Alvina Goh, René Vidal
2008	—	`conf`	Video Registration Using Dynamic Textures. ECCV (2) Avinash Ravichandran, René Vidal
2007	A*	`conf`	A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms. CVPR Roberto Tron, René Vidal
2007	J	`jnl`	Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes. Int. J. Comput. Vis. S. V. N. Vishwanathan, Alexander J. Smola, René Vidal
2007	A*	`conf`	DynamicBoost: Boosting Time Series Generated by Dynamical Systems. ICCV René Vidal, Paolo Favaro
2007	—	`ed.`	Dynamical Vision, ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006. Revised Papers WDV René Vidal, Anders Heyden, Yi Ma
2007	—	`conf`	Epicardial Segmentation in Dynamic Cardiac Mr Sequences Using Priors On Shape, Intensity, and Dynamics, in a Level Set Framework. ISBI Atiyeh Ghoreyshi, René Vidal
2007	J	`jnl`	Identification of Hybrid Systems: A Tutorial. Eur. J. Control Simone Paoletti, Aleksandar Lj. Juloski, Giancarlo Ferrari-Trecate, René Vidal
2007	—	`conf`	Identification of spatial-temporal switched ARX systems. CDC René Vidal
2007	—	`conf`	Metrics and Topology for Nonlinear and Hybrid Systems. HSCC Mihály Petreczky, René Vidal
2007	A*	`conf`	Projective Factorization of Multiple Rigid-Body Motions. CVPR Ting Li, Vinutha Kallem, Dheeraj Singaraju, René Vidal
2007	—	`conf`	Realization theory of stochastic jump-Markov linear systems. CDC Mihály Petreczky, René Vidal
2007	A*	`conf`	Segmenting Motions of Different Types by Unsupervised Manifold Clustering. CVPR Alvina Goh, René Vidal
2006	—	`conf`	A Bottom up Algebraic Approach to Motion Segmentation. ACCV (1) Dheeraj Singaraju, René Vidal
2006	J	`jnl`	A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation. J. Math. Imaging Vis. René Vidal, Yi Ma
2006	—	`conf`	Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images. ECCV (3) Alvina Goh, René Vidal
2006	—	`conf`	An algebraic solution to rigid registration of diffusion tensor images. ISBI Alvina Goh, René Vidal
2006	A*	`conf`	Combined central and subspace clustering for computer vision applications. ICML Le Lu, René Vidal
2006	—	`conf`	Direct Segmentation of Multiple 2-D Motion Models of Different Types. WDV Dheeraj Singaraju, René Vidal
2006	—	`conf`	Nonrigid Shape and Motion from Multiple Perspective Views. ECCV (2) René Vidal, Daniel Abretske
2006	—	`conf`	Online Clustering of Moving Hyperplanes. NIPS René Vidal
2006	—	`conf`	Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets. WDV Atiyeh Ghoreyshi, René Vidal
2006	—	`conf`	Segmenting a beating heart using polysegment and Spatial GPCA. ISBI Avinash Ravichandran, René Vidal, Henry R. Halperin
2006	—	`conf`	The Space of Multibody Fundamental Matrices: Rank, Geometry and Projection. WDV Xiaodong Fan, René Vidal
2006	J	`jnl`	Two-View Multibody Structure from Motion. Int. J. Comput. Vis. René Vidal, Yi Ma, Stefano Soatto, Shankar Sastry
2005	—	`conf`	A Closed Form Solution to Direct Motion Segmentation. CVPR (2) René Vidal, Dheeraj Singaraju
2005	—	`conf`	Comparison of Four Procedures for the Identification of Hybrid Systems. HSCC Aleksandar Lj. Juloski, W. P. M. H. Heemels, Giancarlo Ferrari-Trecate, René Vidal, Simone Paoletti, J. H. G. Niessen
2005	J	`jnl`	Generalized Principal Component Analysis (GPCA). IEEE Trans. Pattern Anal. Mach. Intell. René Vidal, Yi Ma, Shankar Sastry
2005	—	`conf`	Identification of Deterministic Switched ARX Systems via Identification of Algebraic Varieties. HSCC Yi Ma, René Vidal
2005	A*	`conf`	Multi-Subspace Methods for Motion Segmentation from Affine, Perspective and Central Panoramic Cameras. ICRA René Vidal
2005	—	`conf`	Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures. CVPR (2) René Vidal, Avinash Ravichandran
2005	—	`conf`	Recursive Identification of Switched ARX Models with Unknown Number of Models and Unknown Orders. CDC/ECC Yasmin L. Hashambhoy, René Vidal
2004	—	`conf`	A New GPCA Algorithm for Clustering Subspaces by Fitting, Differentiating and Dividing Polynomials. CVPR (1) René Vidal, Yi Ma, Jacopo Piazzi
2004	—	`conf`	A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation. ECCV (1) René Vidal, Yi Ma
2004	J	`jnl`	Following the flock [formation control]. IEEE Robotics Autom. Mag. René Vidal, Omid Shakernia, Shankar Sastry
2004	C	`conf`	Identification of PWARX hybrid models with unknown and possibly different orders. ACC René Vidal
2004	—	`conf`	Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications. CVPR (2) Kun Huang, Yi Ma, René Vidal
2004	—	`conf`	Motion Segmentation with Missing Data Using PowerFactorization and GPCA. CVPR (2) René Vidal, Richard I. Hartley
2004	—	`conf`	Multiple-view geometry for image-based modeling. SIGGRAPH Course Notes Jana Kosecká, Yi Ma, Stefano Soatto, René Vidal
2004	J	`jnl`	Rank Conditions on the Multiple-View Matrix. Int. J. Comput. Vis. Yi Ma, Kun Huang, René Vidal, Jana Kosecka, Shankar Sastry
2004	—	`conf`	Recursive identification of switched ARX hybrid models: exponential convergence and persistence of excitation. CDC René Vidal, Brian D. O. Anderson
2004	—	`conf`	The Multibody Trifocal Tensor: Motion Segmentation from 3 Perspective Views. CVPR (1) Richard I. Hartley, René Vidal
2004	—	`conf`	Tracking of Points in a Calibrated and Noisy Image Sequence. ICIAR (1) Domingo Mery, Felipe Ochoa, René Vidal
2003	—	`conf`	An algebraic geometric approach to the identification of a class of linear hybrid systems. CDC René Vidal, Stefano Soatto, Yi Ma, Shankar Sastry
2003	A*	`conf`	Formation control of nonholonomic mobile robots with omnidirectional visual servoing and motion segmentation. ICRA René Vidal, Omid Shakernia, Shankar Sastry
2003	—	`conf`	Generalized Principal Component Analysis (GPCA). CVPR (1) René Vidal, Yi Ma, Shankar Sastry
2003	A*	`conf`	Multibody motion estimation and segmentation from multiple central panoramic views. ICRA Omid Shakernia, René Vidal, Shankar Sastry
2003	—	`conf`	Observability of Linear Hybrid Systems. HSCC René Vidal, Alessandro Chiuso, Stefano Soatto, Shankar Sastry
2003	—	`conf`	Omnidirectional Egomotion Estimation From Back-projection Flow. CVPR Workshops Omid Shakernia, René Vidal, Shankar Sastry
2003	—	`conf`	Optimal Segmentation of Dynamic Scenes from Two Perspective Views. CVPR (2) René Vidal, Shankar Sastry
2003	—	`conf`	Structure from Small Baseline Motion with Central Panoramic Cameras. CVPR Workshops Omid Shakernia, René Vidal, Shankar Sastry
2003	A	`conf`	Vision-based follow-the-leader. IROS Noah J. Cowan, Omid Shakernia, René Vidal, Shankar Sastry
2002	A*	`conf`	Multiple View Motion Estimation and Control for Landing an Unmanned Aerial Vehicle. ICRA Omid Shakernia, René Vidal, Courtney S. Sharp, Yi Ma, Shankar Sastry
2002	—	`conf`	Observability and identifiability of jump linear systems. CDC René Vidal, Alessandro Chiuso, Stefano Soatto
2002	J	`jnl`	Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation. IEEE Trans. Robotics Autom. René Vidal, Omid Shakernia, H. Jin Kim, David Hyunchul Shim, Shankar Sastry
2002	—	`conf`	Structure from Planar Motions with Small Baselines. ECCV (2) René Vidal, John Oliensis
2001	—	`conf`	A hierarchical approach to probabilistic pursuit-evasion games with unmanned ground and aerial vehicles. CDC H. Jin Kim, René Vidal, David Hyunchul Shim, Omid Shakernia, Shankar Sastry
2001	—	`conf`	Decidable and semi-decidable controller synthesis for classes of discrete time hybrid systems. CDC René Vidal, Shawn Schaffert, Omid Shakernia, John Lygeros, Shankar Sastry
2001	J	`jnl`	Design of fuzzy controllers based on stability analysis. Fuzzy Sets Syst. Julio Concha, Aldo Cipriano, René Vidal
2001	A*	`conf`	Optimal Motion Estimation from Multiview Normalized Epipolar Constraint. ICCV René Vidal, Yi Ma, Shawn Hsu, Shankar Sastry
2001	J	`jnl`	Optimal motion estimation from multiple images by normalized epipolar constraint. Commun. Inf. Syst. Yi Ma, René Vidal, Shawn Hsu, Shankar Sastry
2001	A*	`conf`	Pursuit-Evasion Games with Unmanned Ground and Aerial Vehicles. ICRA René Vidal, Shahid Rashid, Courtney S. Sharp, Omid Shakernia, Jin Kim, Shankar Sastry
2000	—	`conf`	Controlled Invariance of Discrete Time Systems. HSCC René Vidal, Shawn Schaffert, John Lygeros, Shankar Sastry
2000	—	`conf`	Kruppa Equation Revisited: Its Renormalization and Degeneracy. ECCV (2) Yi Ma, René Vidal, Jana Kosecka, Shankar Sastry