Somayeh Sojoudi

Orcid: 0000-0001-7177-7712

According to our database1, Somayeh Sojoudi authored at least 125 papers between 2007 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses.
CoRR, 2024

Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations.
CoRR, 2024

MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers.
CoRR, 2024

The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games.
CoRR, 2024

Let's Go Shopping (LGS) - Web-Scale Image-Text Dataset for Visual Concept Understanding.
CoRR, 2024

2023
Geometric Analysis of Noisy Low-Rank Matrix Recovery in the Exact Parametrized and the Overparametrized Regimes.
INFORMS J. Optim., October, 2023

Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training.
SIAM J. Math. Data Sci., June, 2023

Data-Driven Certification of Neural Networks With Random Input Noise.
IEEE Trans. Control. Netw. Syst., March, 2023

On the Absence of Spurious Local Trajectories in Time-Varying Nonconvex Optimization.
IEEE Trans. Autom. Control., 2023

Evolutionary Games on Infinite Strategy Sets: Convergence to Nash Equilibria via Dissipativity.
CoRR, 2023

Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off.
CoRR, 2023

Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization.
CoRR, 2023

Tempo Adaption in Non-stationary Reinforcement Learning.
CoRR, 2023

Projected Randomized Smoothing for Certified Adversarial Robustness.
CoRR, 2023

Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation.
CoRR, 2023

Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing.
CoRR, 2023

Asymmetric Certified Robustness via Feature-Convex Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tempo Adaptation in Non-stationary Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points.
Proceedings of the International Conference on Machine Learning, 2023

Distributed Power System State Estimation Using Graph Convolutional Neural Networks.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Initial State Interventions for Deconfounded Imitation Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Leveraging the Physics of AC Power Flow in Support Vector Regression to Identify Power System Topology.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Meta-Learning Parameterized First-Order Optimizers Using Differentiable Convex Optimization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Distributionally Robust Optimization for Nonconvex QCQPs with Stochastic Constraints.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Internally Hankel $k$-Positive Systems.
SIAM J. Control. Optim., August, 2022

Distributed linear-quadratic control with graph neural networks.
Signal Process., 2022

Role of sparsity and structure in the optimization landscape of non-convex matrix sensing.
Math. Program., 2022

An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models.
CoRR, 2022

Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning.
CoRR, 2022

An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality.
IEEE Access, 2022

Safe Reinforcement Learning with Chance-constrained Model Predictive Control.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Certified Robustness via Locally Biased Randomized Smoothing.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Distributed Optimal Control of Graph Symmetric Systems via Graph Filters.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

LQR Control with Sparse Adversarial Disturbances.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

A Sequential Greedy Approach for Training Implicit Deep Models.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Control and Uncertainty Propagation in the Presence of Outliers by Utilizing Student-t Process Regression.
Proceedings of the American Control Conference, 2022

Practical Convex Formulations of One-hidden-layer Neural Network Adversarial Training.
Proceedings of the American Control Conference, 2022

Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Boundary Defense Against Cyber Threat for Power System State Estimation.
IEEE Trans. Inf. Forensics Secur., 2021

Sample Complexity of Block-Sparse System Identification Problem.
IEEE Trans. Control. Netw. Syst., 2021

Node-Variant Graph Filters in Graph Neural Networks.
CoRR, 2021

Practical Convex Formulation of Robust One-hidden-layer Neural Network Training.
CoRR, 2021

Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks.
CoRR, 2021

Graph Neural Networks for Distributed Linear-Quadratic Control.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

A Sequential Framework Towards an Exact SDP Verification of Neural Networks.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Spectral Graph Attention Network with Fast Eigen-approximation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

No Spurious Solutions in Non-convex Matrix Sensing: Structure Compensates for Isometry.
Proceedings of the 2021 American Control Conference, 2021

Improving Fairness and Privacy in Selection Problems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Power up! Robust Graph Convolutional Network via Graph Powering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Efficient Learning of Distributed Linear-Quadratic Control Policies.
SIAM J. Control. Optim., 2020

Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis.
J. Mach. Learn. Res., 2020

A survey on conic relaxations of optimal power flow problem.
Eur. J. Oper. Res., 2020

Strengthened SDP Verification of Neural Network Robustness via Non-Convex Cuts.
CoRR, 2020

Data-Driven Assessment of Deep Neural Networks with Random Input Uncertainty.
CoRR, 2020

Spectral Graph Attention Network.
CoRR, 2020

Implicit Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Convex model to evaluate worst-case performance of local search in the Optimal Power Flow problem.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Tightened Convex Relaxations for Neural Network Robustness Certification.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Absence of Spurious Local Trajectories in Time-Varying Optimization: A Control-Theoretic Perspective.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

Homotopy Method for Finding the Global Solution of Post-contingency Optimal Power Flow.
Proceedings of the 2020 American Control Conference, 2020

2019
Convexification of generalized network flow problem.
Math. Program., 2019

Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery.
J. Mach. Learn. Res., 2019

Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions.
J. Mach. Learn. Res., 2019

Efficient Learning of Distributed Linear-Quadratic Controllers.
CoRR, 2019

Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering.
CoRR, 2019

Conic optimization for control, energy systems, and machine learning: Applications and algorithms.
Annu. Rev. Control., 2019

Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models.
IEEE Access, 2019

Mitigating Network Latency in Cloud-Based Teleoperation Using Motion Segmentation and Synthesis.
Proceedings of the Robotics Research, 2019

Transient Stability Analysis of Power Systems via Occupation Measures.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

A Fog Robotic System for Dynamic Visual Servoing.
Proceedings of the International Conference on Robotics and Automation, 2019

Learning Sparse Dynamical Systems from a Single Sample Trajectory.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Mathematical Models of Physiological Responses to Exercise.
Proceedings of the 2019 American Control Conference, 2019

Global Optimality Guarantees for Nonconvex Unsupervised Video Segmentation.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Robust Principal Component Analysis.
CoRR, 2018

A Fog Robotic System for Dynamic Visual Servoing.
CoRR, 2018

How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion.
Proceedings of the 35th International Conference on Machine Learning, 2018

Sparse Inverse Covariance Estimation for Chordal Structures.
Proceedings of the 16th European Control Conference, 2018

Non-Asymptotic Analysis of Block-Regularized Regression Problem.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Cloud-Based Robust Semaphore Mirroring System for Social Robots.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

Conic Optimization Theory: Convexification Techniques and Numerical Algorithms.
Proceedings of the 2018 Annual American Control Conference, 2018

Closed-Form Solution and Sparsity Path for Inverse Covariance Estimation Problem.
Proceedings of the 2018 Annual American Control Conference, 2018

Data-Driven Sparse System Identification.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Finding Low-rank Solutions of Sparse Linear Matrix Inequalities using Convex Optimization.
SIAM J. Optim., 2017

2016
Equivalence of Graphical Lasso and Thresholding for Sparse Graphs.
J. Mach. Learn. Res., 2016

Graphical lasso and thresholding: Conditions for equivalence.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2014
Buffering Dynamics and Stability of Internet Congestion Controllers.
IEEE/ACM Trans. Netw., 2014

Exactness of Semidefinite Relaxations for Nonlinear Optimization Problems with Underlying Graph Structure.
SIAM J. Optim., 2014

Graph-theoretic algorithms for polynomial optimization problems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Low-rank solutions of matrix inequalities with applications to polynomial optimization and matrix completion problems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Study of the brain functional network using synthetic data.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Low-rank solution of convex relaxation for optimal power flow problem.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Convexification of optimal power flow problem by means of phase shifters.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Convexification of Generalized Network Flow problem with application to power systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

On the exactness of semidefinite relaxation for nonlinear optimization over graphs: Part II.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

On the exactness of semidefinite relaxation for nonlinear optimization over graphs: Part I.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Study of nonlinear power optimization problems using algebraic graph theory.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Convex relaxation for optimal power flow problem: Mesh networks.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Competitive equilibria in electricity markets with nonlinearities.
Proceedings of the American Control Conference, 2012

2011
Effect of buffers on stability of Internet congestion controllers.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Fault-tolerant controller design with applications in power systems and synthetic biology.
Proceedings of the American Control Conference, 2011

2010
Pole Assignment With Improved Control Performance by Means of Periodic Feedback.
IEEE Trans. Autom. Control., 2010

Time Complexity of Decentralized Fixed-Mode Verification.
IEEE Trans. Autom. Control., 2010

Interconnection-based performance analysis for a class of decentralized controllers.
Autom., 2010

Synthesis of embedded control systems with high sampling frequencies.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Simple delay-based implementation of continuous-time controllers.
Proceedings of the American Control Conference, 2010

2009
Robust controllability and observability degrees of polynomially uncertain systems.
Autom., 2009

Overlapping control systems with optimal information exchange.
Autom., 2009

Controllability and observability of uncertain systems: A robust measure.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Complexity of checking the existence of a stabilizing decentralized controller.
Proceedings of the American Control Conference, 2009

2008
Performance analysis for a class of decentralized control systems.
Proceedings of the American Control Conference, 2008

2007
Robust Stabilizability Verification of Polynomially Uncertain LTI Systems.
IEEE Trans. Autom. Control., 2007

Characterizing all classes of LTI stabilizing structurally constrained controllers by means of combinatorics.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Rational optimization using sum-of-squares techniques.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Optimal Information Flow Structure for Control of Interconnected Systems.
Proceedings of the American Control Conference, 2007

Stability Criterion for General Proper Systems with Constrained Control Structure.
Proceedings of the American Control Conference, 2007


  Loading...