Laura Balzano

Engineering · University of Michigan

Mid career · publishing since 2002Rising activity

Sparse and Compressive Sensing Techniques Blind Source Separation Techniques Face and Expression Recognition Control Systems and Identification Stochastic Gradient Optimization Techniques

Publications

158

Citations

3,079

Est. group size

Recurring co-author estimate

Active years

Publishing since 2002

In context

Among 1,598 mid career Engineering PIs within our index

Citations: 3,079cohort median 507

Publications / year (recent): 9.4cohort median 3.4

Typically publishes in teams of ~4 · 38% small-team papers (≤3 authors) · across 21 venues

Publication cadence

Publications per year over the last 10 years — averaging 9.4/year recently

Collaborators per year

Distinct co-authors at University of Michigan each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.

Recent publications

Emergent Low-Rank Training Dynamics in MLPs with Smooth Activations
Open MIND · 2026
Emergent Low-Rank Training Dynamics in MLPs with Smooth Activations
arXiv (Cornell University) · 2026
Guest Editorial for Part 1 of the Special Issue on the Mathematics of Deep Learning [From the Guest Editors]
IEEE Signal Processing Magazine · 2026
Guest Editorial for Part 2 of the Special Issue on the Mathematics of Deep Learning [From the Guest Editors]
IEEE Signal Processing Magazine · 2026
An Overview of Low-Rank Structures in the Training and Adaptation of Large Models: From Implicit Low-Dimensionality to Efficient Training and Fine-Tuning [Special Issue on the Mathematics of Deep Learning]
IEEE Signal Processing Magazine · 2026
A Proximal Difference-of-Convex Algorithm for Sample Average Approximation of Chance Constrained Programming
INFORMS journal on computing · 2025
Optimal Sample Acquisition for Optimally Weighted PCA From Heterogeneous Quality Sources
IEEE Signal Processing Letters · 2025
Code and Data Repository for A Proximal DC Algorithm for Sample Average Approximation of Chance Constrained Programming
INFORMS journal on computing · 2025
Learning physics-based reduced-order models from data using nonlinear manifolds
Chaos An Interdisciplinary Journal of Nonlinear Science · 2024
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
arXiv (Cornell University) · 2024
A Spectral Framework for Tracking Communities in Evolving Networks
arXiv (Cornell University) · 2024
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
Open MIND · 2024
Learning Latent Representations in High-Dimensional State Spaces Using Polynomial Manifold Constructions
2023
Learning latent representations in high-dimensional state spaces using polynomial manifold constructions
arXiv (Cornell University) · 2023
Matrix Completion over Finite Fields: Bounds and Belief Propagation Algorithms
2023

Publishes in

arXiv (Cornell University)×44
IEEE Transactions on Signal Processing×4
IEEE Signal Processing Magazine×3
SIAM Journal on Mathematics of Data Science×2
Proceedings of the IEEE×2

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 25, 2026.

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