Emmanuel J. Candès

144 papers A* 16B 5Misc 1Journal 111Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Evaluation of LLM Performance with Statistical Guarantees. CoRR Skyler Wu, Yash Nair, Emmanuel J. Candès
2026	J	`jnl`	Towards Execution-Grounded Automated AI Research. CoRR Chenglei Si, Zitong Yang, Yejin Choi, Emmanuel J. Candès, Diyi Yang, Tatsunori Hashimoto
2025	A*	`conf`	Automated Hypothesis Validation with Agentic Sequential Falsifications. ICML Kexin Huang, Ying Jin, Ryan Li, Michael Y. Li, Emmanuel J. Candès, Jure Leskovec
2025	J	`jnl`	Automated Hypothesis Validation with Agentic Sequential Falsifications. CoRR Kexin Huang, Ying Jin, Ryan Li, Michael Y. Li, Emmanuel J. Candès, Jure Leskovec
2025	—	`conf`	Can Unconfident LLM Annotations Be Used for Confident Conclusions? NAACL (Long Papers) Kristina Gligoric, Tijana Zrnic, Cinoo Lee, Emmanuel J. Candès, Dan Jurafsky
2025	J	`jnl`	Overparameterized ReLU Neural Networks Learn the Simplest Model: Neural Isometry and Phase Transitions. IEEE Trans. Inf. Theory Yifei Wang, Yixuan Hua, Emmanuel J. Candès, Mert Pilanci
2025	J	`jnl`	Probably Approximately Correct Labels. CoRR Emmanuel J. Candès, Andrew Ilyas, Tijana Zrnic
2025	J	`jnl`	Robust Sampling for Active Statistical Inference. CoRR Puheng Li, Tijana Zrnic, Emmanuel J. Candès
2025	J	`jnl`	Synthetic bootstrapped pretraining. CoRR Zitong Yang, Aonan Zhang, Hong Liu, Tatsunori Hashimoto, Emmanuel J. Candès, Chong Wang, Ruoming Pang
2025	A*	`conf`	Synthetic continued pretraining. ICLR Zitong Yang, Neil Band, Shuangping Li, Emmanuel J. Candès, Tatsunori Hashimoto
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	A*	`conf`	s1: Simple test-time scaling. EMNLP Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel J. Candès, Tatsunori Hashimoto
2025	J	`jnl`	s1: Simple test-time scaling. CoRR Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel J. Candès, Tatsunori Hashimoto
2024	J	`jnl`	A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features. CoRR Emi Zeger, Yifei Wang, Aaron Mishkin, Tolga Ergen, Emmanuel J. Candès, Mert Pilanci
2024	A*	`conf`	Active Statistical Inference. ICML Tijana Zrnic, Emmanuel J. Candès
2024	J	`jnl`	Active Statistical Inference. CoRR Tijana Zrnic, Emmanuel J. Candès
2024	J	`jnl`	Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series. CoRR Zitong Yang, Emmanuel J. Candès, Lihua Lei
2024	A*	`conf`	Boosted Conformal Prediction Intervals. NeurIPS Ran Xie, Rina Barber, Emmanuel J. Candès
2024	J	`jnl`	Can Unconfident LLM Annotations Be Used for Confident Conclusions? CoRR Kristina Gligoric, Tijana Zrnic, Cinoo Lee, Emmanuel J. Candès, Dan Jurafsky
2024	J	`jnl`	Conformal Inference for Online Prediction with Arbitrary Distribution Shifts. J. Mach. Learn. Res. Isaac Gibbs, Emmanuel J. Candès
2024	A*	`conf`	Large language model validity via enhanced conformal prediction methods. NeurIPS John J. Cherian, Isaac Gibbs, Emmanuel J. Candès
2024	J	`jnl`	Large language model validity via enhanced conformal prediction methods. CoRR John J. Cherian, Isaac Gibbs, Emmanuel J. Candès
2024	J	`jnl`	RandALO: Out-of-sample risk estimation in no time flat. CoRR Parth Nobel, Daniel LeJeune, Emmanuel J. Candès
2024	J	`jnl`	Second-order group knockoffs with applications to genome-wide association studies. Bioinform. Benjamin B. Chu, Jiaqi Gu, Zhaomeng Chen, Tim Morrison, Emmanuel J. Candès, Zihuai He, Chiara Sabatti
2024	J	`jnl`	Statistical Inference for Fairness Auditing. J. Mach. Learn. Res. John J. Cherian, Emmanuel J. Candès
2024	J	`jnl`	Synthetic continued pretraining. CoRR Zitong Yang, Neil Band, Shuangping Li, Emmanuel J. Candès, Tatsunori Hashimoto
2023	A*	`conf`	Conformal PID Control for Time Series Prediction. NeurIPS Anastasios Angelopoulos, Emmanuel J. Candès, Ryan J. Tibshirani
2023	J	`jnl`	Conformal PID Control for Time Series Prediction. CoRR Anastasios N. Angelopoulos, Emmanuel J. Candès, Ryan J. Tibshirani
2023	J	`jnl`	Cross-Prediction-Powered Inference. CoRR Tijana Zrnic, Emmanuel J. Candès
2023	J	`jnl`	Selection by Prediction with Conformal p-values. J. Mach. Learn. Res. Ying Jin, Emmanuel J. Candès
2023	J	`jnl`	Statistical Inference for Fairness Auditing. CoRR John J. Cherian, Emmanuel J. Candès
2023	J	`jnl`	Tractable Evaluation of Stein's Unbiased Risk Estimate With Convex Regularizers. IEEE Trans. Signal Process. Parth Nobel, Emmanuel J. Candès, Stephen P. Boyd
2023	A*	`conf`	Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. NeurIPS Kexin Huang, Ying Jin, Emmanuel J. Candès, Jure Leskovec
2023	J	`jnl`	Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. CoRR Kexin Huang, Ying Jin, Emmanuel J. Candès, Jure Leskovec
2022	J	`jnl`	Conformal Inference for Online Prediction with Arbitrary Distribution Shifts. CoRR Isaac Gibbs, Emmanuel J. Candès
2022	J	`jnl`	Interpretable Classification of Bacterial Raman Spectra With Knockoff Wavelets. IEEE J. Biomed. Health Informatics Charmaine Chia, Matteo Sesia, Chi-Sing Ho, Stefanie S. Jeffrey, Jennifer A. Dionne, Emmanuel J. Candès, Roger T. Howe
2022	J	`jnl`	ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact Recovery. CoRR Yifei Wang, Yixuan Hua, Emmanuel J. Candès, Mert Pilanci
2021	A*	`conf`	Adaptive Conformal Inference Under Distribution Shift. NeurIPS Isaac Gibbs, Emmanuel J. Candès
2021	J	`jnl`	Adaptive Conformal Inference Under Distribution Shift. CoRR Isaac Gibbs, Emmanuel J. Candès
2021	J	`jnl`	Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control. CoRR Anastasios N. Angelopoulos, Stephen Bates, Emmanuel J. Candès, Michael I. Jordan, Lihua Lei
2020	A*	`conf`	Achieving Equalized Odds by Resampling Sensitive Attributes. NeurIPS Yaniv Romano, Stephen Bates, Emmanuel J. Candès
2020	J	`jnl`	Achieving Equalized Odds by Resampling Sensitive Attributes. CoRR Yaniv Romano, Stephen Bates, Emmanuel J. Candès
2020	A*	`conf`	Classification with Valid and Adaptive Coverage. NeurIPS Yaniv Romano, Matteo Sesia, Emmanuel J. Candès
2019	A*	`conf`	Conformal Prediction Under Covariate Shift. NeurIPS Ryan J. Tibshirani, Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas
2019	A*	`conf`	Conformalized Quantile Regression. NeurIPS Yaniv Romano, Evan Patterson, Emmanuel J. Candès
2019	J	`jnl`	Dual-Reference Design for Holographic Coherent Diffraction Imaging. CoRR David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li
2019	J	`jnl`	Holographic Phase Retrieval and Optimal Reference Design. CoRR David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li
2019	J	`jnl`	With Malice Towards None: Assessing Uncertainty via Equalized Coverage. CoRR Yaniv Romano, Rina Foygel Barber, Chiara Sabatti, Emmanuel J. Candès
2017	J	`jnl`	The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square. CoRR Pragya Sur, Yuxin Chen, Emmanuel J. Candès
2016	J	`jnl`	A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights. J. Mach. Learn. Res. Weijie Su, Stephen P. Boyd, Emmanuel J. Candès
2016	J	`jnl`	Super-Resolution of Positive Sources: The Discrete Setup. SIAM J. Imaging Sci. Veniamin I. Morgenshtern, Emmanuel J. Candès
2016	J	`jnl`	The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences. CoRR Yuxin Chen, Emmanuel J. Candès
2015	J	`jnl`	Adaptive Restart for Accelerated Gradient Schemes. Found. Comput. Math. Brendan O'Donoghue, Emmanuel J. Candès
2015	J	`jnl`	False Discoveries Occur Early on the Lasso Path. CoRR Weijie Su, Malgorzata Bogdan, Emmanuel J. Candès
2015	J	`jnl`	Phase Retrieval via Matrix Completion. SIAM Rev. Emmanuel J. Candès, Yonina C. Eldar, Thomas Strohmer, Vladislav Voroninski
2015	J	`jnl`	Phase Retrieval via Wirtinger Flow: Theory and Algorithms. IEEE Trans. Inf. Theory Emmanuel J. Candès, Xiaodong Li, Mahdi Soltanolkotabi
2015	J	`jnl`	Randomized Algorithms for Low-Rank Matrix Factorizations: Sharp Performance Bounds. Algorithmica Rafi Witten, Emmanuel J. Candès
2015	J	`jnl`	SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax. CoRR Emmanuel J. Candès, Weijie Su
2015	—	`conf`	Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems. NIPS Yuxin Chen, Emmanuel J. Candès
2015	J	`jnl`	Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems. CoRR Yuxin Chen, Emmanuel J. Candès
2015	J	`jnl`	Super-Resolution of Positive Sources: the Discrete Setup. CoRR Veniamin I. Morgenshtern, Emmanuel J. Candès
2014	—	`conf`	A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights. NIPS Weijie Su, Stephen P. Boyd, Emmanuel J. Candès
2014	J	`jnl`	Phase Retrieval via Wirtinger Flow: Theory and Algorithms. CoRR Emmanuel J. Candès, Xiaodong Li, Mahdi Soltanolkotabi
2014	J	`jnl`	Solving Quadratic Equations via PhaseLift When There Are About as Many Equations as Unknowns. Found. Comput. Math. Emmanuel J. Candès, Xiaodong Li
2013	—	`conf`	Compressive sensing: Principles and hardware implementations. ESSCIRC Emmanuel J. Candès, Stephen Becker
2013	J	`jnl`	Hyperspectral fluorescence microscopy based on Compressive Sampling. CoRR Makhlad Chahid, Jérôme Bobin, Hamed Shams Mousavi, Emmanuel J. Candès, Maxime Dahan, Vincent Studer
2013	J	`jnl`	On the Fundamental Limits of Adaptive Sensing. IEEE Trans. Inf. Theory Ery Arias-Castro, Emmanuel J. Candès, Mark A. Davenport
2013	J	`jnl`	Phase Retrieval from masked Fourier transforms. CoRR Emmanuel J. Candès, Xiaodong Li, Mahdi Soltanolkotabi
2013	J	`jnl`	Phase Retrieval via Matrix Completion. SIAM J. Imaging Sci. Emmanuel J. Candès, Yonina C. Eldar, Thomas Strohmer, Vladislav Voroninski
2013	J	`jnl`	Randomized algorithms for low-rank matrix factorizations: sharp performance bounds. CoRR Rafi Witten, Emmanuel J. Candès
2013	J	`jnl`	Robust Subspace Clustering CoRR Mahdi Soltanolkotabi, Ehsan Elhamifar, Emmanuel J. Candès
2013	J	`jnl`	Simple bounds for recovering low-complexity models. Math. Program. Emmanuel J. Candès, Benjamin Recht
2013	A*	`conf`	Super-resolution via Transform-Invariant Group-Sparse Regularization. ICCV Carlos Fernandez-Granda, Emmanuel J. Candès
2013	J	`jnl`	Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators. IEEE Trans. Signal Process. Emmanuel J. Candès, Carlos A. Sing-Long, Joshua D. Trzasko
2012	J	`jnl`	A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition. IEEE J. Emerg. Sel. Topics Circuits Syst. Juhwan Yoo, Christopher K. Turnes, Eric B. Nakamura, Chi K. Le, Stephen Becker, Emilio A. Sovero, Michael B. Wakin, Michael C. Grant, Justin K. Romberg, Azita Emami-Neyestanak, Emmanuel J. Candès
2012	J	`jnl`	A Nonuniform Sampler for Wideband Spectrally-Sparse Environments. IEEE J. Emerg. Sel. Topics Circuits Syst. Michael B. Wakin, Stephen Becker, Eric B. Nakamura, Michael C. Grant, Emilio A. Sovero, Daniel Ching, Juhwan Yoo, Justin K. Romberg, Azita Emami-Neyestanak, Emmanuel J. Candès
2012	J	`jnl`	A single-photon sampling architecture for solid-state imaging CoRR Ewout van den Berg, Emmanuel J. Candès, Garry Chinn, Craig S. Levin, Peter D. Olcott, Carlos A. Sing-Long
2012	Misc	`conf`	Design and implementation of a fully integrated compressed-sensing signal acquisition system. ICASSP Juhwan Yoo, Stephen Becker, Manuel Monge, Matthew Loh, Emmanuel J. Candès, Azita Emami-Neyestanak
2012	J	`jnl`	Discussion: Latent variable graphical model selection via convex optimization CoRR Emmanuel J. Candès, Mahdi Soltanolkotabi
2012	J	`jnl`	Exact matrix completion via convex optimization. Commun. ACM Emmanuel J. Candès, Benjamin Recht
2012	J	`jnl`	Solving Quadratic Equations via PhaseLift when There Are About As Many Equations As Unknowns CoRR Emmanuel J. Candès, Xiaodong Li
2012	J	`jnl`	Super-Resolution from Noisy Data CoRR Emmanuel J. Candès, Carlos Fernandez-Granda
2012	J	`jnl`	Towards a Mathematical Theory of Super-Resolution CoRR Emmanuel J. Candès, Carlos Fernandez-Granda
2011	J	`jnl`	A Geometric Analysis of Subspace Clustering with Outliers CoRR Mahdi Soltanolkotabi, Emmanuel J. Candès
2011	J	`jnl`	A Probabilistic and RIPless Theory of Compressed Sensing. IEEE Trans. Inf. Theory Emmanuel J. Candès, Yaniv Plan
2011	J	`jnl`	How well can we estimate a sparse vector? CoRR Emmanuel J. Candès, Mark A. Davenport
2011	J	`jnl`	NESTA: A Fast and Accurate First-Order Method for Sparse Recovery. SIAM J. Imaging Sci. Stephen Becker, Jérôme Bobin, Emmanuel J. Candès
2011	J	`jnl`	On the Fundamental Limits of Adaptive Sensing CoRR Ery Arias-Castro, Emmanuel J. Candès, Mark A. Davenport
2011	J	`jnl`	Phase Retrieval via Matrix Completion CoRR Emmanuel J. Candès, Yonina C. Eldar, Thomas Strohmer, Vladislav Voroninski
2011	J	`jnl`	PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming CoRR Emmanuel J. Candès, Thomas Strohmer, Vladislav Voroninski
2011	J	`jnl`	Robust principal component analysis? J. ACM Emmanuel J. Candès, Xiaodong Li, Yi Ma, John Wright
2011	J	`jnl`	Simple Bounds for Low-complexity Model Reconstruction CoRR Emmanuel J. Candès, Benjamin Recht
2011	J	`jnl`	Templates for convex cone problems with applications to sparse signal recovery. Math. Program. Comput. Stephen Becker, Emmanuel J. Candès, Michael C. Grant
2011	J	`jnl`	Tight Oracle Inequalities for Low-Rank Matrix Recovery From a Minimal Number of Noisy Random Measurements. IEEE Trans. Inf. Theory Emmanuel J. Candès, Yaniv Plan
2010	J	`jnl`	A Singular Value Thresholding Algorithm for Matrix Completion. SIAM J. Optim. Jian-Feng Cai, Emmanuel J. Candès, Zuowei Shen
2010	J	`jnl`	A probabilistic and RIPless theory of compressed sensing CoRR Emmanuel J. Candès, Yaniv Plan
2010	J	`jnl`	Applications of Sparse Representation and Compressive Sensing. Proc. IEEE Richard G. Baraniuk, Emmanuel J. Candès, Michael Elad, Yi Ma
2010	J	`jnl`	Compressed Sensing With Quantized Measurements. IEEE Signal Process. Lett. Argyrios Zymnis, Stephen P. Boyd, Emmanuel J. Candès
2010	J	`jnl`	Compressed Sensing with Coherent and Redundant Dictionaries CoRR Emmanuel J. Candès, Yonina C. Eldar, Deanna Needell
2010	J	`jnl`	Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit CoRR Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel J. Candès, Yi Ma
2010	B	`conf`	Dense error correction for low-rank matrices via Principal Component Pursuit. ISIT Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel J. Candès, Yi Ma
2010	J	`jnl`	Matrix Completion With Noise. Proc. IEEE Emmanuel J. Candès, Yaniv Plan
2010	J	`jnl`	Stable Principal Component Pursuit CoRR Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. Candès, Yi Ma
2010	B	`conf`	Stable Principal Component Pursuit. ISIT Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. Candès, Yi Ma
2010	A*	`conf`	The Power of Convex Relaxation: The Surprising Stories of Matrix Completion and Compressed Sensing. SODA Emmanuel J. Candès
2010	J	`jnl`	The power of convex relaxation: near-optimal matrix completion. IEEE Trans. Inf. Theory Emmanuel J. Candès, Terence Tao
2010	J	`jnl`	Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements CoRR Emmanuel J. Candès, Yaniv Plan
2009	J	`jnl`	A Fast Butterfly Algorithm for the Computation of Fourier Integral Operators. Multiscale Model. Simul. Emmanuel J. Candès, Laurent Demanet, Lexing Ying
2009	B	`conf`	A fast and accurate first-order algorithm for compressed sensing. ICIP Jérôme Bobin, Emmanuel J. Candès
2009	J	`jnl`	Accurate low-rank matrix recovery from a small number of linear measurements CoRR Emmanuel J. Candès, Yaniv Plan
2009	—	`conf`	Accurate low-rank matrix recovery from a small number of linear measurements. Allerton Emmanuel J. Candès, Yaniv Plan
2009	J	`jnl`	Exact Matrix Completion via Convex Optimization. Found. Comput. Math. Emmanuel J. Candès, Benjamin Recht
2009	J	`jnl`	Matrix Completion With Noise CoRR Emmanuel J. Candès, Yaniv Plan
2009	J	`jnl`	Robust Principal Component Analysis? CoRR Emmanuel J. Candès, Xiaodong Li, Yi Ma, John Wright
2009	J	`jnl`	The Power of Convex Relaxation: Near-Optimal Matrix Completion CoRR Emmanuel J. Candès, Terence Tao
2008	J	`jnl`	An Introduction To Compressive Sampling. IEEE Signal Process. Mag. Emmanuel J. Candès, Michael B. Wakin
2008	—	`conf`	Compressed sensing and robust recovery of low rank matrices. ACSCC Maryam Fazel, Emmanuel J. Candès, Ben Recht, Pablo A. Parrilo
2008	J	`jnl`	Compressive Sampling [From the Guest Editors]. IEEE Signal Process. Mag. Richard G. Baraniuk, Emmanuel J. Candès, Robert D. Nowak, Martin Vetterli
2008	J	`jnl`	Exact Matrix Completion via Convex Optimization CoRR Emmanuel J. Candès, Benjamin Recht
2008	—	`conf`	Exact low-rank matrix completion via convex optimization. Allerton Emmanuel J. Candès, Benjamin Recht
2008	J	`jnl`	Highly Robust Error Correction byConvex Programming. IEEE Trans. Inf. Theory Emmanuel J. Candès, Paige A. Randall
2008	—	`conf`	Session TA1b: Compressive sensing. ACSCC Emmanuel J. Candès
2007	J	`jnl`	Errata for Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions. Found. Comput. Math. Emmanuel J. Candès, Justin K. Romberg
2007	J	`jnl`	Fast Computation of Fourier Integral Operators. SIAM J. Sci. Comput. Emmanuel J. Candès, Laurent Demanet, Lexing Ying
2007	—	`conf`	Sparse Signal and Image Recovery from Compressive Samples. ISBI Emmanuel J. Candès, Nathaniel Braun, Michael B. Wakin
2006	B	`conf`	Encoding the \ell_p Ball from Limited Measurements. DCC Emmanuel J. Candès, Justin K. Romberg
2006	J	`jnl`	Fast Discrete Curvelet Transforms. Multiscale Model. Simul. Emmanuel J. Candès, Laurent Demanet, David L. Donoho, Lexing Ying
2006	J	`jnl`	Fast geodesics computation with the phase flow method. J. Comput. Phys. Lexing Ying, Emmanuel J. Candès
2006	J	`jnl`	Highly robust error correction by convex programming CoRR Emmanuel J. Candès, Paige A. Randall
2006	J	`jnl`	Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? IEEE Trans. Inf. Theory Emmanuel J. Candès, Terence Tao
2006	J	`jnl`	Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions. Found. Comput. Math. Emmanuel J. Candès, Justin K. Romberg
2006	B	`conf`	Robust Signal Recovery from Incomplete Observations. ICIP Emmanuel J. Candès, Justin K. Romberg
2006	J	`jnl`	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theory Emmanuel J. Candès, Justin K. Romberg, Terence Tao
2006	J	`jnl`	The phase flow method. J. Comput. Phys. Lexing Ying, Emmanuel J. Candès
2005	J	`jnl`	Decoding by Linear Programming CoRR Emmanuel J. Candès, Terence Tao
2005	J	`jnl`	Decoding by linear programming. IEEE Trans. Inf. Theory Emmanuel J. Candès, Terence Tao
2005	A*	`conf`	Error Correction via Linear Programming. FOCS Emmanuel J. Candès, Mark Rudelson, Terence Tao, Roman Vershynin
2005	—	`conf`	Signal recovery from random projections. Computational Imaging Emmanuel J. Candès, Justin K. Romberg
2003	J	`jnl`	Gray and color image contrast enhancement by the curvelet transform. IEEE Trans. Image Process. Jean-Luc Starck, Fionn Murtagh, Emmanuel J. Candès, David L. Donoho
2002	J	`jnl`	New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction. Signal Process. Emmanuel J. Candès, Franck Guo
2002	J	`jnl`	The curvelet transform for image denoising. IEEE Trans. Image Process. Jean-Luc Starck, Emmanuel J. Candès, David L. Donoho
2001	J	`jnl`	Curvelets and Curvilinear Integrals. J. Approx. Theory Emmanuel J. Candès, David L. Donoho
2001	J	`jnl`	Ridgelets and the Representation of Mutilated Sobolev Functions. SIAM J. Math. Anal. Emmanuel J. Candès
2001	—	`conf`	The curvelet transform for image denoising. ICIP (1) Emmanuel J. Candès