Jeremias Sulam

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All published works

Action	Title	Year	Authors
+ PDF Chat	Sufficient and Necessary Explanations (and What Lies in Between)	2024	Beepul Bharti Paul H. Yi Jeremias Sulam
+ PDF Chat	DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging	2024	Zhenghan Fang Kuo-Wei Lai Peter C.M. van Zijl Li Xu Jeremias Sulam
+ PDF Chat	Pivotal Auto-Encoder via Self-Normalizing ReLU	2024	Nelson Goldenstein Jeremias Sulam Yaniv Romano
+ PDF Chat	I Bet You Did Not Mean That: Testing Semantic Importance via Betting	2024	Jacopo Teneggi Jeremias Sulam
+ PDF Chat	Certified Robustness against Sparse Adversarial Perturbations via Data Localization	2024	Ambar Pal René Vidal Jeremias Sulam
+ PDF Chat	How to trust your diffusion model: a convex optimization approach to conformal risk control	2024	Jeremias Sulam Jacopo Teneggi
+ PDF Chat	Pivotal Auto-Encoder via Self-Normalizing ReLU	2024	Nelson Goldenstein Jeremias Sulam Yaniv Romano
+	Adversarial Robustness of Sparse Local Lipschitz Predictors	2023	Ramchandran Muthukumar Jeremias Sulam
+	DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imaging	2023	Zhenghan Fang Kuo-Wei Lai Peter C.M. van Zijl Xu Li Jeremias Sulam
+	How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control	2023	Jacopo Teneggi Matt Tivnan J. Webster Stayman Jeremias Sulam
+	Fourier Diffusion Models: A Method to Control MTF and NPS in Score-Based Stochastic Image Generation	2023	Matthew Tivnan Jacopo Teneggi Tzu‐Cheng Lee Ruoqiao Zhang Kirsten Boedeker Liang Cai Grace J. Gang Jeremias Sulam J. Webster Stayman
+	Understanding Noise-Augmented Training for Randomized Smoothing	2023	Ambar Pal Jeremias Sulam
+	Sparsity-aware generalization theory for deep neural networks	2023	Ramchandran Muthukumar Jeremias Sulam
+	Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness	2023	Ambar Pal Jeremias Sulam René Vidal
+	What's in a Prior? Learned Proximal Networks for Inverse Problems	2023	Zhenghan Fang Sam Buchanan Jeremias Sulam
+ PDF Chat	Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images	2022	Zhenzhen Wang Carla Saoud Sintawat Wangsiricharoen Aaron W. James Aleksander S. Popel Jeremias Sulam
+ PDF Chat	Fast Hierarchical Games for Image Explanations	2022	Jacopo Teneggi Alexandre Luster Jeremias Sulam
+	Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms	2022	Joshua Agterberg Jeremias Sulam
+	Prospective Learning: Principled Extrapolation to the Future	2022	Joshua T. Vogelstein Timothy Verstynen Konrad P. Körding Leyla Işık John W. Krakauer Ralph Etienne‐Cummings Elizabeth L. Ogburn Carey E. Priebe Randal Burns Kwame S. Kutten
+	Adversarial robustness of sparse local Lipschitz predictors	2022	Ramchandran Muthukumar Jeremias Sulam
+	SHAP-XRT: The Shapley Value Meets Conditional Independence Testing	2022	Jacopo Teneggi Beepul Bharti Yaniv Romano Jeremias Sulam
+	Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT	2022	Jacopo Teneggi Paul H. Yi Jeremias Sulam
+	DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging	2022	Zhenghan Fang Kuo-Wei Lai Peter C.M. van Zijl Xu Li Jeremias Sulam
+ PDF Chat	Deciphering antibody affinity maturation with language models and weakly supervised learning	2021	Jeffrey A. Ruffolo Jeffrey J. Gray Jeremias Sulam
+	A Geometric Analysis of Neural Collapse with Unconstrained Features	2021	Zhihui Zhu Tianyu Ding Jinxin Zhou Xiao Li Chong You Jeremias Sulam Qing Qu
+	A Geometric Analysis of Neural Collapse with Unconstrained Features	2021	Zhihui Zhu Tianyu Ding Jinxin Zhou Xiao Li Chong You Jeremias Sulam Qing Qu
+	Deciphering antibody affinity maturation with language models and weakly supervised learning	2021	Jeffrey A. Ruffolo Jeffrey J. Gray Jeremias Sulam
+	Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images	2021	Zhenzhen Wang Carla Saoud Sintawat Wangsiricharoen Aaron W. James Aleksander S. Popel Jeremias Sulam
+ PDF Chat	Conformal symplectic and relativistic optimization	2020	Guilherme França Jeremias Sulam Daniel P. Robinson René Vidal
+ PDF Chat	Deep Learning in Protein Structural Modeling and Design	2020	Wenhao Gao Sai Pooja Mahajan Jeremias Sulam Jeffrey J. Gray
+ PDF Chat	Learning to solve TV regularised problems with unrolled algorithms	2020	H. Cherkaoui Jeremias Sulam Thomas Moreau
+	Recovery and Generalization in Over-Realized Dictionary Learning	2020	Jeremias Sulam Chong You Zhihui Zhu
+	Deep Learning in Protein Structural Modeling and Design	2020	Wenhao Gao Sai Pooja Mahajan Jeremias Sulam Jeffrey J. Gray
+	Learned Proximal Networks for Quantitative Susceptibility Mapping	2020	Kuo-Wei Lai Manisha Aggarwal Peter C.M. van Zijl Xu Li Jeremias Sulam
+	Learned Proximal Networks for Quantitative Susceptibility Mapping	2020	Kuo-Wei Lai Manisha Aggarwal Peter C.M. van Zijl Xu Li Jeremias Sulam
+	Learning to solve TV regularized problems with unrolled algorithms	2020	H. Cherkaoui Jeremias Sulam Thomas Moreau
+	Adversarial Robustness of Supervised Sparse Coding	2020	Jeremias Sulam Ramchandran Muthukumar Raman Arora
+ PDF Chat	Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via Sparse-Modeled Signals	2019	Yaniv Romano Aviad Aberdam Jeremias Sulam Michael Elad
+ PDF Chat	MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance	2019	Dror Simon Jeremias Sulam Yaniv Romano Yue M. Lu Michael Elad
+ PDF Chat	On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks	2019	Jeremias Sulam Aviad Aberdam Amir Beck Michael Elad
+ PDF Chat	Multi-Layer Sparse Coding: The Holistic Way	2019	Aviad Aberdam Jeremias Sulam Michael Elad
+	Variations on the CSC model	2018	Ives Rey-Otero Jeremias Sulam Michael Elad
+	Improving Pursuit Algorithms Using Stochastic Resonance.	2018	Dror Simon Jeremias Sulam Yaniv Romano Yue M. Lu Michael Elad
+	Adversarial Noise Attacks of Deep Learning Architectures -- Stability Analysis via Sparse Modeled Signals	2018	Yaniv Romano Aviad Aberdam Jeremias Sulam Michael Elad
+	Multi-Layer Sparse Coding: The Holistic Way	2018	Aviad Aberdam Jeremias Sulam Michael Elad
+ PDF Chat	Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning	2018	Jeremias Sulam Vardan Papyan Yaniv Romano Michael Elad
+	A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model	2018	Ev Zisselman Jeremias Sulam Michael Elad
+	On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks	2018	Jeremias Sulam Aviad Aberdam Amir Beck Michael Elad
+	Adversarial Noise Attacks of Deep Learning Architectures -- Stability Analysis via Sparse Modeled Signals	2018	Yaniv Romano Aviad Aberdam Jeremias Sulam Michael Elad
+	Multi-Layer Sparse Coding: The Holistic Way	2018	Aviad Aberdam Jeremias Sulam Michael Elad
+	Variations on the CSC model	2018	Ives Rey-Otero Jeremias Sulam Michael Elad
+ PDF Chat	Convolutional Dictionary Learning via Local Processing	2017	Vardan Papyan Yaniv Romano Michael Elad Jeremias Sulam
+ PDF Chat	Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding	2017	Vardan Papyan Jeremias Sulam Michael Elad
+	Convolutional Dictionary Learning via Local Processing	2017	Vardan Papyan Yaniv Romano Jeremias Sulam Michael Elad
+	Convolutional Dictionary Learning via Local Processing	2017	Vardan Papyan Yaniv Romano Jeremias Sulam Michael Elad
+ PDF Chat	Trainlets: Dictionary Learning in High Dimensions	2016	Jeremias Sulam Boaz Ophir Michael Zibulevsky Michael Elad
+	Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse Coding	2016	Vardan Papyan Jeremias Sulam Michael Elad
+	Working Locally Thinking Globally - Part I: Theoretical Guarantees for Convolutional Sparse Coding	2016	Vardan Papyan Jeremias Sulam Michael Elad

Common Coauthors

Coauthor	Papers Together
Michael Elad	21
Aviad Aberdam	8
Yaniv Romano	8
Jacopo Teneggi	7
Vardan Papyan	7
Kuo-Wei Lai	5
Peter C.M. van Zijl	5
Jeffrey J. Gray	4
René Vidal	4
Xu Li	4
Zhenghan Fang	4
Yaniv Romano	4
Ramchandran Muthukumar	4
Zhihui Zhu	3
Ambar Pal	3
Dror Simon	2
Sai Pooja Mahajan	2
Carla Saoud	2
Sintawat Wangsiricharoen	2
Wenhao Gao	2
Xiao Li	2
Paul H. Yi	2
Chong You	2
H. Cherkaoui	2
Jeffrey A. Ruffolo	2
Nelson Goldenstein	2
Tianyu Ding	2
Qing Qu	2
Aleksander S. Popel	2
J. Webster Stayman	2
Amir Beck	2
Manisha Aggarwal	2
Ives Rey-Otero	2
Yue M. Lu	2
Aaron W. James	2
Beepul Bharti	2
Thomas Moreau	2
Jinxin Zhou	2
Eric Eaton	1
Seung‐Eon Roh	1
Alexandre Luster	1
Ralph Etienne‐Cummings	1
Kaleab Alemayehu Kinfu	1
Francesca Puppo	1
Pratik Chaudhari	1
Timothy Verstynen	1
Bing Brunton	1
Elizabeth L. Ogburn	1
Ruoqiao Zhang	1
Leila Wehbe	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding	2017	Vardan Papyan Jeremias Sulam Michael Elad	11
+	From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images	2009	Alfred M. Bruckstein⋆ David L. Donoho Michael Elad	8
+ PDF Chat	On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks	2019	Jeremias Sulam Aviad Aberdam Amir Beck Michael Elad	7
+ PDF Chat	Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization	2011	Weisheng Dong Lei Zhang Guangming Shi Xiaolin Wu	7
+ PDF Chat	Trainlets: Dictionary Learning in High Dimensions	2016	Jeremias Sulam Boaz Ophir Michael Zibulevsky Michael Elad	7
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	6
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	6
+ PDF Chat	Subspace Pursuit for Compressive Sensing Signal Reconstruction	2009	Wei Dai Olgica Milenković	5
+ PDF Chat	Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning	2018	Jeremias Sulam Vardan Papyan Yaniv Romano Michael Elad	5
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	5
+ PDF Chat	Multi-Layer Sparse Coding: The Holistic Way	2019	Aviad Aberdam Jeremias Sulam Michael Elad	4
+ PDF Chat	Boosting of Image Denoising Algorithms	2015	Yaniv Romano Michael Elad	4
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	4
+ PDF Chat	Sparse representations in unions of bases	2003	Rémi Gribonval Morten Nielsen	3
+ PDF Chat	Quantitative susceptibility mapping using deep neural network: QSMnet	2018	Jaeyeon Yoon Enhao Gong Itthi Chatnuntawech Berkin Bilgic̦ Jin‐Gu Lee Woojin Jung Jingyu Ko Hosan Jung Kawin Setsompop Greg Zaharchuk	3
+	Convolutional Dictionary Learning through Tensor Factorization	2015	Furong Huang Animashree Anandkumar	3
+ PDF Chat	The solution path of the generalized lasso	2011	Ryan J. Tibshirani Jonathan Taylor	3
+	Matching pursuits with time-frequency dictionaries	1993	Stéphane Mallat Zhifeng Zhang	3
+	Convolutional Dictionary Learning via Local Processing	2017	Vardan Papyan Yaniv Romano Jeremias Sulam Michael Elad	3
+	Sparse Modeling for Image and Vision Processing	2014	Julien Mairal Francis Bach Jean Ponce	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+	Convolutional Neural Networks Analyzed via Convolutional Sparse Coding	2016	Vardan Papyan Yaniv Romano Michael Elad	3
+ PDF Chat	Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities	2020	Woojin Jung Steffen Bollmann Jongho Lee	3
+ PDF Chat	Task-Driven Dictionary Learning	2011	Julien Mairal Francis Bach Jean Ponce	3
+	QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field	2019	Yicheng Chen Angela Jakary Sivakami Avadiappan Christopher P. Hess Janine M. Lupo	3
+ PDF Chat	Learned Primal-Dual Reconstruction	2018	Jonas Adler Ozan Öktem	3
+ PDF Chat	Convolutional Dictionary Learning via Local Processing	2017	Vardan Papyan Yaniv Romano Michael Elad Jeremias Sulam	3
+	Exploring linearity of deep neural network trained QSM: QSMnet+	2020	Woojin Jung Jaeyeon Yoon Sooyeon Ji Joon Yul Choi Jae Myung Kim Yoonho Nam Eung Yeop Kim Jongho Lee	3
+	Compressed sensing with coherent and redundant dictionaries	2010	Emmanuel J. Candès Yonina C. Eldar Deanna Needell Paige Randall	3
+ PDF Chat	Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems	2018	Raja Giryes Yonina C. Eldar Alex Bronstein Guillermo Sapiro	3
+	Convex Analysis and Monotone Operator Theory in Hilbert Spaces	2017	Heinz H. Bauschke Patrick L. Combettes	3
+ PDF Chat	A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging	2010	Antonin Chambolle Thomas Pock	3
+ PDF Chat	Decoding by Linear Programming	2005	Emmanuel J. Candès Terence Tao	3
+ PDF Chat	Representation Learning: A Review and New Perspectives	2013	Yoshua Bengio Aaron Courville P. M. Durai Raj Vincent	3
+	Learning Important Features Through Propagating Activation Differences	2017	Avanti Shrikumar Peyton Greenside Anshul Kundaje	3
+	Nonlinear image recovery with half-quadratic regularization	1995	Donald Geman Chengda Yang	2
+	Convolutional Matching Pursuit and Dictionary Training	2010	Arthur Szlam Koray Kavukcuoglu Yann LeCun	2
+ PDF Chat	ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost	2017	Justin S. Smith Olexandr Isayev Adrián E. Roitberg	2
+	Understanding Neural Sparse Coding with Matrix Factorization	2016	Thomas Moreau Joan Bruna	2
+	Multiplicative LSTM for sequence modelling	2016	Ben Krause Liang Lu Iain Murray Steve Renals	2
+ PDF Chat	Geometric Deep Learning: Going beyond Euclidean data	2017	Michael M. Bronstein Joan Bruna Yann LeCun Arthur Szlam Pierre Vandergheynst	2
+	Maximal Sparsity with Deep Networks?	2016	Bo Xin Yizhou Wang Wen Gao David Wipf	2
+	Monotone Operators and the Proximal Point Algorithm	1976	R. T. Rockafellar	2
+	Optimization Methods for Convolutional Sparse Coding	2014	Hilton Bristow Simon Lucey	2
+	Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse Coding	2016	Vardan Papyan Jeremias Sulam Michael Elad	2
+ PDF Chat	On the Global-Local Dichotomy in Sparsity Modeling	2017	Dmitry Batenkov Yaniv Romano Michael Elad	2
+ PDF Chat	On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary	2011	Javier S. Turek Irad Yavneh Michael Elad	2
+	On the eigenvectors of large dimensional sample covariance matrices	1989	Jack W. Silverstein	2
+ PDF Chat	Performance Guarantees of the Thresholding Algorithm for the Cosparse Analysis Model	2012	Tomer Peleg Michael Elad	2
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	2