Laura Balzano - RankMe

139 papers A* 10A 6B 4C 3Misc 7Journal 77Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Proximal Difference-of-Convex Algorithm for Sample Average Approximation of Chance Constrained Programming. INFORMS J. Comput. Peng Wang, Rujun Jiang, Qingyuan Kong, Laura Balzano
2026	J	`jnl`	Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization. J. Mach. Learn. Res. Yuchen Li, Laura Balzano, Deanna Needell, Hanbaek Lyu
2026	J	`jnl`	Emergent Low-Rank Training Dynamics in MLPs with Smooth Activations. CoRR Alec S. Xu, Can Yaras, Matthew Asato, Qing Qu, Laura Balzano
2026	J	`jnl`	Guest Editorial for Part 1 of the Special Issue on the Mathematics of Deep Learning [From the Guest Editors]. IEEE Signal Process. Mag. Laura Balzano, Joan Bruna Estrach, Gitta Kutyniok, Robert Nowak, Jong Chul Ye
2025	—	`ed.`	7th Annual Learning for Dynamics & Control Conference, Ann Arbor, MI, USA, 4-6 June 2025. L4DC Necmiye Ozay, Laura Balzano, Dimitra Panagou, Alessandro Abate
2025	J	`jnl`	A Semidefinite Relaxation for Sums of Heterogeneous Quadratic Forms on the Stiefel Manifold. SIAM J. Matrix Anal. Appl. Kyle Gilman, Samuel Burer, Laura Balzano
2025	J	`jnl`	ALPCAH: Subspace Learning for Sample-Wise Heteroscedastic Data. IEEE Trans. Signal Process. Javier Salazar Cavazos, Jeffrey A. Fessler, Laura Balzano
2025	J	`jnl`	ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data. CoRR Javier Salazar Cavazos, Jeffrey A. Fessler, Laura Balzano
2025	J	`jnl`	ALPCAHUS: Subspace Clustering for Heteroscedastic Data. CoRR Javier Salazar Cavazos, Jeffrey A. Fessler, Laura Balzano
2025	J	`jnl`	An Overview of Low-Rank Structures in the Training and Adaptation of Large Models. CoRR Laura Balzano, Tianjiao Ding, Benjamin D. Haeffele, Soo Min Kwon, Qing Qu, Peng Wang, Zhangyang Wang, Can Yaras
2025	J	`jnl`	MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention. CoRR Can Yaras, Alec S. Xu, Pierre Abillama, Changwoo Lee, Laura Balzano
2025	J	`jnl`	Optimal Sample Acquisition for Optimally Weighted PCA From Heterogeneous Quality Sources. IEEE Signal Process. Lett. David Hong, Laura Balzano
2025	J	`jnl`	Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective. CoRR Soo Min Kwon, Alec S. Xu, Can Yaras, Laura Balzano, Qing Qu
2025	J	`jnl`	Streaming Heteroscedastic Probabilistic PCA with Missing Data. Trans. Mach. Learn. Res. Kyle Gilman, David Hong, Jeffrey A. Fessler, Laura Balzano
2025	J	`jnl`	Truncated Matrix Completion - An Empirical Study. CoRR Rishhabh Naik, Nisarg Trivedi, Davoud Ataee Tarzanagh, Laura Balzano
2025	J	`jnl`	Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination. J. Mach. Learn. Res. Peng Wang, Xiao Li, Can Yaras, Zhihui Zhu, Laura Balzano, Wei Hu, Qing Qu
2024	—	`conf`	A Spectral Framework for Tracking Communities in Evolving Networks. LoG Jacob Hume, Laura Balzano
2024	J	`jnl`	A Spectral Framework for Tracking Communities in Evolving Networks. CoRR Jacob Hume, Laura Balzano
2024	A*	`conf`	Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation. ICML Can Yaras, Peng Wang, Laura Balzano, Qing Qu
2024	J	`jnl`	Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation. CoRR Can Yaras, Peng Wang, Laura Balzano, Qing Qu
2024	A*	`conf`	Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms. ICML Yuchen Li, Laura Balzano, Deanna Needell, Hanbaek Lyu
2024	A	`conf`	Efficient Low-Dimensional Compression of Overparameterized Models. AISTATS Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano, Qing Qu
2024	A	`conf`	Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods. AISTATS Davoud Ataee Tarzanagh, Parvin Nazari, Bojian Hou, Li Shen, Laura Balzano
2024	J	`jnl`	Optimality of POD for Data-Driven LQR With Low-Rank Structures. IEEE Control. Syst. Lett. Rachel Newton, Zhe Du, Peter J. Seiler, Laura Balzano
2024	A*	`conf`	Symmetric Matrix Completion with ReLU Sampling. ICML Huikang Liu, Peng Wang, Longxiu Huang, Qing Qu, Laura Balzano
2024	J	`jnl`	Symmetric Matrix Completion with ReLU Sampling. CoRR Huikang Liu, Peng Wang, Longxiu Huang, Qing Qu, Laura Balzano
2023	J	`jnl`	Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics. CoRR Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano, Qing Qu
2023	Misc	`conf`	HeMPPCAT: Mixtures of Probabilistic Principal Component analysers for data with heteroscedastic noise. ICASSP Alec S. Xu, Laura Balzano, Jeffrey A. Fessler
2023	—	`conf`	Learning Latent Representations in High-Dimensional State Spaces Using Polynomial Manifold Constructions. CDC Rudy Geelen, Laura Balzano, Karen Willcox
2023	J	`jnl`	Learning latent representations in high-dimensional state spaces using polynomial manifold constructions. CoRR Rudy Geelen, Laura Balzano, Karen Willcox
2023	J	`jnl`	Learning physics-based reduced-order models from data using nonlinear manifolds. CoRR Rudy Geelen, Laura Balzano, Stephen Wright, Karen Willcox
2023	—	`conf`	Manifold Optimization for Data Driven Reduced-Order Modeling Allerton Rachel Newton, Zhe Du, Laura Balzano, Peter Seiler
2023	B	`conf`	Matrix Completion over Finite Fields: Bounds and Belief Propagation Algorithms. ISIT Mahdi Soleymani, Qiang Liu, Hessam Mahdavifar, Laura Balzano
2023	J	`jnl`	Matrix Completion over Finite Fields: Bounds and Belief Propagation Algorithms. CoRR Mahdi Soleymani, Qiang Liu, Hessam Mahdavifar, Laura Balzano
2023	J	`jnl`	Optimally Weighted PCA for High-Dimensional Heteroscedastic Data. SIAM J. Math. Data Sci. David Hong, Fan Yang, Jeffrey A. Fessler, Laura Balzano
2023	J	`jnl`	The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks. CoRR Can Yaras, Peng Wang, Wei Hu, Zhihui Zhu, Laura Balzano, Qing Qu
2023	J	`jnl`	Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination. CoRR Peng Wang, Xiao Li, Can Yaras, Zhihui Zhu, Laura Balzano, Wei Hu, Qing Qu
2022	C	`conf`	Certainty Equivalent Quadratic Control for Markov Jump Systems. ACC Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Samet Oymak, Laura Balzano, Necmiye Ozay
2022	—	`conf`	Clustering-based Mode Reduction for Markov Jump Systems. L4DC Zhe Du, Necmiye Ozay, Laura Balzano
2022	A*	`conf`	Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering. ICML Peng Wang, Huikang Liu, Anthony Man-Cho So, Laura Balzano
2022	C	`conf`	Data-Driven Control of Markov Jump Systems: Sample Complexity and Regret Bounds. ACC Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak
2022	J	`jnl`	Grassmannian Optimization for Online Tensor Completion and Tracking With the t-SVD. IEEE Trans. Signal Process. Kyle Gilman, Davoud Ataee Tarzanagh, Laura Balzano
2022	J	`jnl`	Mode Reduction for Markov Jump Systems. CoRR Zhe Du, Laura Balzano, Necmiye Ozay
2022	A*	`conf`	Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. NeurIPS Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu
2022	J	`jnl`	Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. CoRR Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu
2022	A	`conf`	On the equivalence of Oja's algorithm and GROUSE. AISTATS Laura Balzano
2022	J	`jnl`	Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods. CoRR Davoud Ataee Tarzanagh, Laura Balzano
2022	—	`conf`	Truncated Matrix Completion - An Empirical Study. EUSIPCO Rishhabh Naik, Nisarg Trivedi, Davoud Ataee Tarzanagh, Laura Balzano
2021	J	`jnl`	Certainty Equivalent Quadratic Control for Markov Jump Systems. CoRR Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Samet Oymak, Necmiye Ozay
2021	J	`jnl`	Fair Structure Learning in Heterogeneous Graphical Models. CoRR Davoud Ataee Tarzanagh, Laura Balzano, Alfred O. Hero III
2021	J	`jnl`	HePPCAT: Probabilistic PCA for Data With Heteroscedastic Noise. IEEE Trans. Signal Process. David Hong, Kyle Gilman, Laura Balzano, Jeffrey A. Fessler
2021	J	`jnl`	Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds. CoRR Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak
2021	J	`jnl`	Tensor Methods for Nonlinear Matrix Completion. SIAM J. Math. Data Sci. Greg Ongie, Daniel L. Pimentel-Alarcón, Laura Balzano, Rebecca Willett, Robert D. Nowak
2020	J	`jnl`	Clustering quality metrics for subspace clustering. Pattern Recognit. John Lipor, Laura Balzano
2020	J	`jnl`	Grassmannian Optimization for Online Tensor Completion and Tracking in the t-SVD Algebra. CoRR Kyle Gilman, Laura Balzano
2020	Misc	`conf`	Online Tensor Completion and Free Submodule Tracking With The T-SVD. ICASSP Kyle Gilman, Laura Balzano
2020	A*	`conf`	Preference Modeling with Context-Dependent Salient Features. ICML Amanda Bower, Laura Balzano
2020	J	`jnl`	Preference Modeling with Context-Dependent Salient Features. CoRR Amanda Bower, Laura Balzano
2020	J	`jnl`	Supervised PCA: A Multiobjective Approach. CoRR Alexander Ritchie, Laura Balzano, Clayton D. Scott
2019	—	`conf`	Exploration of tensor decomposition applied to commercial building baseline estimation. GlobalSIP David Hong, Shunbo Lei, Johanna L. Mathieu, Laura Balzano
2019	—	`conf`	Mode Clustering for Markov Jump Systems. CAMSAP Zhe Du, Necmiye Ozay, Laura Balzano
2019	J	`jnl`	Mode Clustering for Markov Jump Systems. CoRR Zhe Du, Necmiye Ozay, Laura Balzano
2019	J	`jnl`	Online matrix factorization for Markovian data and applications to Network Dictionary Learning. CoRR Hanbaek Lyu, Deanna Needell, Laura Balzano
2019	—	`conf`	Panoramic Video Separation with Online Grassmannian Robust Subspace Estimation. ICCV Workshops Kyle Gilman, Laura Balzano
2019	—	`conf`	Probabilistic PCA for Heteroscedastic Data. CAMSAP David Hong, Laura Balzano, Jeffrey A. Fessler
2019	J	`jnl`	Streaming Principal Component Analysis From Incomplete Data. J. Mach. Learn. Res. Armin Eftekhari, Gregory Ongie, Laura Balzano, Michael B. Wakin
2019	—	`conf`	Supervised Principal Component Analysis Via Manifold Optimization. DSW Alexander Ritchie, Clayton D. Scott, Laura Balzano, Daniel Kessler, Chandra Sekhar Sripada
2018	J	`jnl`	A Robust Algorithm for Online Switched System Identification. CoRR Zhe Du, Necmiye Ozay, Laura Balzano
2018	J	`jnl`	Asymptotic performance of PCA for high-dimensional heteroscedastic data. J. Multivar. Anal. David Hong, Laura Balzano, Jeffrey A. Fessler
2018	—	`conf`	Exploring Connections Between a Multiple Model Kalman Filter and Dynamic Fixed Share with Applications to Demand Response. CCTA Gregory S. Ledva, Laura Balzano, Johanna L. Mathieu
2018	J	`jnl`	Improving K-Subspaces via Coherence Pursuit. IEEE J. Sel. Top. Signal Process. Andrew Gitlin, Biaoshuai Tao, Laura Balzano, John Lipor
2018	—	`conf`	Learning Dictionary-Based Unions of Subspaces for Image Denoising. EUSIPCO David Hong, Robert P. Malinas, Jeffrey A. Fessler, Laura Balzano
2018	—	`conf`	Learning to Share: simultaneous parameter tying and Sparsification in Deep Learning. ICLR (Poster) Dejiao Zhang, Haozhu Wang, Mário A. T. Figueiredo, Laura Balzano
2018	—	`conf`	Online Estimation of Coherent Subspaces with Adaptive Sampling. SSP Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano
2018	—	`conf`	Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization. SSP Dejiao Zhang, Julian Katz-Samuels, Mário A. T. Figueiredo, Laura Balzano
2018	J	`jnl`	Streaming PCA and Subspace Tracking: The Missing Data Case. CoRR Laura Balzano, Yuejie Chi, Yue M. Lu
2018	J	`jnl`	Streaming PCA and Subspace Tracking: The Missing Data Case. Proc. IEEE Laura Balzano, Yuejie Chi, Yue M. Lu
2018	J	`jnl`	Tensor Methods for Nonlinear Matrix Completion. CoRR Greg Ongie, Laura Balzano, Daniel L. Pimentel-Alarcón, Rebecca Willett, Robert D. Nowak
2018	Misc	`conf`	The Landscape of Non-Convex Quadratic Feasibility. ICASSP Amanda Bower, Lalit Jain, Laura Balzano
2017	A*	`conf`	Algebraic Variety Models for High-Rank Matrix Completion. ICML Greg Ongie, Rebecca Willett, Robert D. Nowak, Laura Balzano
2017	J	`jnl`	Deep Unsupervised Clustering Using Mixture of Autoencoders. CoRR Dejiao Zhang, Yifan Sun, Brian Eriksson, Laura Balzano
2017	J	`jnl`	Distance-Penalized Active Learning Using Quantile Search. IEEE Trans. Signal Process. John Lipor, Brandon P. Wong, Donald Scavia, Branko Kerkez, Laura Balzano
2017	Misc	`conf`	Enhanced online subspace estimation via adaptive sensing. ACSSC Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano
2017	A*	`conf`	Leveraging Union of Subspace Structure to Improve Constrained Clustering. ICML John Lipor, Laura Balzano
2017	—	`conf`	Low algebraic dimension matrix completion. Allerton Daniel L. Pimentel-Alarcón, Gregory Ongie, Laura Balzano, Rebecca Willett, Robert D. Nowak
2017	Misc	`conf`	Matched subspace detection using compressively sampled data. ICASSP Dejiao Zhang, Laura Balzano
2017	A*	`conf`	On Learning High Dimensional Structured Single Index Models. AAAI Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak
2017	—	`conf`	Online dynamic MRI reconstruction via robust subspace tracking. GlobalSIP Greg Ongie, Saket Dewangan, Jeffrey A. Fessler, Laura Balzano
2017	J	`jnl`	Subspace Clustering using Ensembles of $K$-Subspaces. CoRR John Lipor, David Hong, Dejiao Zhang, Laura Balzano
2017	J	`jnl`	What to Expect When You Are Expecting on the Grassmannian. IEEE Signal Process. Lett. Armin Eftekhari, Laura Balzano, Michael B. Wakin
2016	J	`jnl`	Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data. CoRR Dejiao Zhang, Laura Balzano
2016	A	`conf`	Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation. AISTATS Dejiao Zhang, Laura Balzano
2016	—	`conf`	Group-sparse subspace clustering with missing data. SSP Daniel L. Pimentel-Alarcón, Laura Balzano, Roummel F. Marcia, Robert D. Nowak, Rebecca Willett
2016	J	`jnl`	Leveraging Union of Subspace Structure to Improve Constrained Clustering. CoRR John Lipor, Laura Balzano
2016	—	`conf`	Necessary and sufficient conditions for sketched subspace clustering. Allerton Daniel L. Pimentel-Alarcón, Laura Balzano, Robert D. Nowak
2016	J	`jnl`	On Learning High Dimensional Structured Single Index Models. CoRR Nikhil Rao, Ravi Ganti, Laura Balzano, Rebecca Willett, Robert D. Nowak
2016	J	`jnl`	Online algorithms for factorization-based structure from motion. Comput. Vis. Image Underst. Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor
2016	—	`conf`	Online sparse and orthogonal subspace estimation from partial information. Allerton Pengyu Xiao, Laura Balzano
2016	J	`jnl`	SNIPE for Memory-Limited PCA From Incomplete Data. CoRR Armin Eftekhari, Laura Balzano, Dehui Yang, Michael B. Wakin
2016	—	`conf`	Towards a theoretical analysis of PCA for heteroscedastic data. Allerton David Hong, Laura Balzano, Jeffrey A. Fessler
2016	J	`jnl`	What to Expect When You Are Expecting on the Grassmannian. CoRR Armin Eftekhari, Laura Balzano, Michael B. Wakin
2015	J	`jnl`	Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation. CoRR Dejiao Zhang, Laura Balzano
2015	—	`conf`	Inferring the behavior of distributed energy resources with online learning. Allerton Gregory S. Ledva, Laura Balzano, Johanna L. Mathieu
2015	J	`jnl`	Local Convergence of an Algorithm for Subspace Identification from Partial Data. Found. Comput. Math. Laura Balzano, Stephen J. Wright
2015	—	`conf`	Margin-based active subspace clustering. CAMSAP John Lipor, Laura Balzano
2015	—	`conf`	Matrix Completion Under Monotonic Single Index Models. NIPS Ravi Sastry Ganti Mahapatruni, Laura Balzano, Rebecca Willett
2015	J	`jnl`	Matrix Completion Under Monotonic Single Index Models. CoRR Ravi Ganti, Laura Balzano, Rebecca Willett
2015	J	`jnl`	Quantile Search: A Distance-Penalized Active Learning Algorithm for Spatial Sampling. CoRR John Lipor, Laura Balzano, Branko Kerkez, Donald Scavia
2015	—	`conf`	Quantile search: A distance-penalized active learning algorithm for spatial sampling. Allerton John Lipor, Laura Balzano, Branko Kerkez, Donald Scavia
2014	J	`jnl`	Iterative Grassmannian optimization for robust image alignment. Image Vis. Comput. Jun He, Dejiao Zhang, Laura Balzano, Tao Tao
2014	—	`conf`	On the sample complexity of subspace clustering with missing data. SSP Daniel L. Pimentel-Alarcón, Robert D. Nowak, Laura Balzano
2014	A	`conf`	Online algorithms for factorization-based structure from motion. WACV Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor
2014	—	`conf`	Online completion of Ill-conditioned low-rank matrices. GlobalSIP Ryan Kennedy, Camillo J. Taylor, Laura Balzano
2014	Misc	`conf`	Robust blind calibration via total least squares. ICASSP John Lipor, Laura Balzano
2013	J	`jnl`	Iterative Grassmannian Optimization for Robust Image Alignment. CoRR Jun He, Dejiao Zhang, Laura Balzano, Tao Tao
2013	B	`conf`	Iterative online subspace learning for robust image alignment. FG Jun He, Dejiao Zhang, Laura Balzano, Tao Tao
2013	J	`jnl`	Local Convergence of an Algorithm for Subspace Identification from Partial Data. CoRR Laura Balzano, Stephen J. Wright
2013	J	`jnl`	On GROUSE and Incremental SVD. CoRR Laura Balzano, Stephen J. Wright
2013	—	`conf`	On GROUSE and incremental SVD. CAMSAP Laura Balzano, Stephen J. Wright
2013	J	`jnl`	Online Algorithms for Factorization-Based Structure from Motion. CoRR Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor
2012	A	`conf`	High-Rank Matrix Completion. AISTATS Brian Eriksson, Laura Balzano, Robert D. Nowak
2012	A*	`conf`	Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video. CVPR Jun He, Laura Balzano, Arthur Szlam
2012	—	`conf`	K-subspaces with missing data. SSP Laura Balzano, Arthur Szlam, Benjamin Recht, Robert D. Nowak
2012	J	`jnl`	Rank Minimization Over Finite Fields: Fundamental Limits and Coding-Theoretic Interpretations. IEEE Trans. Inf. Theory Vincent Y. F. Tan, Laura Balzano, Stark C. Draper
2011	J	`jnl`	High-Rank Matrix Completion and Subspace Clustering with Missing Data CoRR Brian Eriksson, Laura Balzano, Robert D. Nowak
2011	Misc	`conf`	On the success of network inference using a markov routing model. ICASSP Laura Balzano, Robert D. Nowak, Matthew Roughan
2011	J	`jnl`	Online Robust Subspace Tracking from Partial Information CoRR Jun He, Laura Balzano, John C. S. Lui
2011	J	`jnl`	Rank Minimization over Finite Fields: Fundamental Limits and Coding-Theoretic Interpretations CoRR Vincent Y. F. Tan, Laura Balzano, Stark C. Draper
2011	B	`conf`	Rank minimization over finite fields. ISIT Vincent Y. F. Tan, Laura Balzano, Stark C. Draper
2010	J	`jnl`	High-Dimensional Matched Subspace Detection When Data are Missing CoRR Laura Balzano, Benjamin Recht, Robert D. Nowak
2010	B	`conf`	High-dimensional Matched Subspace Detection when data are missing. ISIT Laura Balzano, Benjamin Recht, Robert D. Nowak
2010	J	`jnl`	Online Identification and Tracking of Subspaces from Highly Incomplete Information CoRR Laura Balzano, Robert D. Nowak, Benjamin Recht
2010	—	`conf`	Online identification and tracking of subspaces from highly incomplete information. Allerton Laura Balzano, Robert Nowak, Benjamin Recht
2009	J	`jnl`	Sensor network data fault types. ACM Trans. Sens. Networks Kevin Ni, Nithya Ramanathan, Mohamed Nabil Hajj Chehade, Laura Balzano, Sheela Nair, Sadaf Zahedi, Eddie Kohler, Gregory J. Pottie, Mark H. Hansen, Mani B. Srivastava
2008	J	`jnl`	Reputation-based framework for high integrity sensor networks. ACM Trans. Sens. Networks Saurabh Ganeriwal, Laura Balzano, Mani B. Srivastava
2007	—	`conf`	Blind calibration of sensor networks. IPSN Laura Balzano, Robert D. Nowak
2006	C	`conf`	Designing Wireless Sensor Networks as a Shared Resource for Sustainable Development. ICTD Nithya Ramanathan, Laura Balzano, Deborah Estrin, Mark H. Hansen, Thomas C. Harmon, Jenny Jay, William J. Kaiser, Gaurav S. Sukhatme
2004	J	`jnl`	Design, analysis, and implementation of DVSR: a fair high-performance protocol for packet rings. IEEE/ACM Trans. Netw. Violeta Gambiroza, Ping Yuan, Laura Balzano, Yonghe Liu, Steve Sheafor, Edward W. Knightly
2002	J	`jnl`	DVSR: a high-performance metro ring protocol. Comput. Commun. Rev. Laura Balzano, Violeta Gambiroza, Yonghe Liu, Ping Yuan, Edward W. Knightly, Steve Sheafor