Somayeh Sojoudi

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 133

Top Venues

Publications

Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi
Ranking Manipulation for Conversational Search Engines. CoRR (2024)
Yatong Bai, Brendon G. Anderson, Somayeh Sojoudi
Mixing classifiers to alleviate the accuracy-robustness trade-off. L4DC (2024)
Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi
Soft convex quantization: revisiting Vector Quantization with convex optimization. L4DC (2024)
Ziye Ma, Ying Chen, Javad Lavaei, Somayeh Sojoudi
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses. CoRR (2024)
Jingqi Li, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games. CoRR (2024)
Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Somayeh Sojoudi
A new complexity metric for nonconvex rank-one generalized matrix completion. Math. Program. 207 (1) (2024)
Jingqi Li, Anand Siththaranjan, Somayeh Sojoudi, Claire J. Tomlin, Andrea Bajcsy
Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations. CoRR (2024)
Yatong Bai, Utsav Garg, Apaar Shanker, Haoming Zhang, Samyak Parajuli, Erhan Bas, Isidora Filipovic, Amelia N. Chu, Eugenia D. Fomitcheva, Elliot Branson, Aerin Kim, Somayeh Sojoudi, Kyunghyun Cho
Let's Go Shopping (LGS) - Web-Scale Image-Text Dataset for Visual Concept Understanding. CoRR (2024)
Hyunin Lee, David Abel, Ming Jin, Javad Lavaei, Somayeh Sojoudi
A Black Swan Hypothesis in Markov Decision Process via Irrationality. CoRR (2024)
Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
Pausing Policy Learning in Non-stationary Reinforcement Learning. CoRR (2024)
Ziye Ma, Ying Chen, Javad Lavaei, Somayeh Sojoudi
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses. AISTATS (2024)
Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
Transport of Algebraic Structure to Latent Embeddings. CoRR (2024)
Yatong Bai, Mo Zhou, Vishal M. Patel, Somayeh Sojoudi
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers. CoRR (2024)
Yatong Bai, Brendon G. Anderson, Aerin Kim, Somayeh Sojoudi
Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing. CoRR (2023)
Samuel Pfrommer, Brendon G. Anderson, Julien Piet, Somayeh Sojoudi
Asymmetric Certified Robustness via Feature-Convex Neural Networks. CoRR (2023)
Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
Projected Randomized Smoothing for Certified Adversarial Robustness. CoRR (2023)
Brendon G. Anderson, Somayeh Sojoudi
Data-Driven Certification of Neural Networks With Random Input Noise. IEEE Trans. Control. Netw. Syst. 10 (1) (2023)
Samuel Pfrommer, Brendon G. Anderson, Julien Piet, Somayeh Sojoudi
Asymmetric Certified Robustness via Feature-Convex Neural Networks. NeurIPS (2023)
Ziye Ma, Javad Lavaei, Somayeh Sojoudi
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing. CoRR (2023)
Salar Fattahi, Cédric Josz, Yuhao Ding, Reza Mohammadi-Ghazi, Javad Lavaei, Somayeh Sojoudi
On the Absence of Spurious Local Trajectories in Time-Varying Nonconvex Optimization. IEEE Trans. Autom. Control. 68 (1) (2023)
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. CoRR (2023)
Tanmay Gautam, Samuel Pfrommer, Somayeh Sojoudi
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization. CoRR (2023)
Brendon G. Anderson, Samuel Pfrommer, Somayeh Sojoudi
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks. CoRR (2023)
Elizabeth Glista, Somayeh Sojoudi
Leveraging the Physics of AC Power Flow in Support Vector Regression to Identify Power System Topology. CDC (2023)
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CDC (2023)
Tanmay Gautam, Samuel Pfrommer, Somayeh Sojoudi
Meta-Learning Parameterized First-Order Optimizers Using Differentiable Convex Optimization. CDC (2023)
Sangwoo Park, Fernando Gama, Javad Lavaei, Somayeh Sojoudi
Distributed Power System State Estimation Using Graph Convolutional Neural Networks. HICSS (2023)
Eli Brock, Haixiang Zhang, Julie Mulvaney-Kemp, Javad Lavaei, Somayeh Sojoudi
Distributionally Robust Optimization for Nonconvex QCQPs with Stochastic Constraints. CDC (2023)
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. AAMAS (2023)
Ziye Ma, Somayeh Sojoudi
Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate. AISTATS (2023)
Ziye Ma, Javad Lavaei, Somayeh Sojoudi
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing. NeurIPS (2023)
Baturalp Yalçin, Ziye Ma, Javad Lavaei, Somayeh Sojoudi
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing. AAAI (2023)
Yatong Bai, Trung Dang, Dung N. Tran, Kazuhito Koishida, Somayeh Sojoudi
Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation. CoRR (2023)
Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points. CoRR (2023)
Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi
Geometric Analysis of Noisy Low-Rank Matrix Recovery in the Exact Parametrized and the Overparametrized Regimes. INFORMS J. Optim. 5 (4) (2023)
Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points. ICML (2023)
Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
Tempo Adaption in Non-stationary Reinforcement Learning. CoRR (2023)
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CoRR (2023)
Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
Projected Randomized Smoothing for Certified Adversarial Robustness. Trans. Mach. Learn. Res. 2023 (2023)
Yatong Bai, Tanmay Gautam, Somayeh Sojoudi
Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training. SIAM J. Math. Data Sci. 5 (2) (2023)
Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
Tempo Adaptation in Non-stationary Reinforcement Learning. NeurIPS (2023)
Samuel Pfrommer, Yatong Bai, Hyunin Lee, Somayeh Sojoudi
Initial State Interventions for Deconfounded Imitation Learning. CDC (2023)
Samuel Pfrommer, Yatong Bai, Hyunin Lee, Somayeh Sojoudi
Initial State Interventions for Deconfounded Imitation Learning. CoRR (2023)
Yatong Bai, Brendon G. Anderson, Somayeh Sojoudi
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off. CoRR (2023)
Brendon G. Anderson, Samuel Pfrommer, Somayeh Sojoudi
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks. CDC (2023)
Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi
Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization. CoRR (2023)
Brendon G. Anderson, Somayeh Sojoudi, Murat Arcak
Evolutionary Games on Infinite Strategy Sets: Convergence to Nash Equilibria via Dissipativity. CoRR (2023)
Samuel Pfrommer, Somayeh Sojoudi
LQR Control with Sparse Adversarial Disturbances. CoRR (2022)
Fengjun Yang, Fernando Gama, Somayeh Sojoudi, Nikolai Matni
Distributed Optimal Control of Graph Symmetric Systems via Graph Filters. CDC (2022)
Samuel Pfrommer, Tanmay Gautam, Alec Zhou, Somayeh Sojoudi
Safe Reinforcement Learning with Chance-constrained Model Predictive Control. L4DC (2022)
Christian Grussler, Thiago B. Burghi, Somayeh Sojoudi
Internally Hankel $k$-Positive Systems. SIAM J. Control. Optim. 60 (4) (2022)
Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi
Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements. AAAI (2022)
Dimitris Papadimitriou, Somayeh Sojoudi
Control and Uncertainty Propagation in the Presence of Outliers by Utilizing Student-t Process Regression. ACC (2022)
Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi
Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods. AISTATS (2022)
Baturalp Yalcin, Ziye Ma, Javad Lavaei, Somayeh Sojoudi
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing. CoRR (2022)
Brendon G. Anderson, Somayeh Sojoudi
Certified Robustness via Locally Biased Randomized Smoothing. L4DC (2022)
Sangwoo Park, Elizabeth Glista, Javad Lavaei, Somayeh Sojoudi
An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality. IEEE Access 10 (2022)
Yatong Bai, Tanmay Gautam, Somayeh Sojoudi
Efficient Global Optimization of Two-layer ReLU Networks: Quadratic-time Algorithms and Adversarial Training. CoRR (2022)
Tanmay Gautam, Brendon G. Anderson, Somayeh Sojoudi, Laurent El Ghaoui
A Sequential Greedy Approach for Training Implicit Deep Models. CDC (2022)
Fengjun Yang, Fernando Gama, Somayeh Sojoudi, Nikolai Matni
Distributed Optimal Control of Graph Symmetric Systems via Graph Filters. CoRR (2022)
Fernando Gama, Somayeh Sojoudi
Distributed linear-quadratic control with graph neural networks. Signal Process. 196 (2022)
Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi
Practical Convex Formulations of One-hidden-layer Neural Network Adversarial Training. ACC (2022)
Igor Molybog, Somayeh Sojoudi, Javad Lavaei
Role of sparsity and structure in the optimization landscape of non-convex matrix sensing. Math. Program. 193 (1) (2022)
Ziye Ma, Somayeh Sojoudi
Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate. CoRR (2022)
Samuel Pfrommer, Somayeh Sojoudi
LQR Control with Sparse Adversarial Disturbances. CDC (2022)
Jingqi Li, Donggun Lee, Somayeh Sojoudi, Claire J. Tomlin
Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning. CoRR (2022)
Brendon G. Anderson, Tanmay Gautam, Somayeh Sojoudi
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models. CoRR (2022)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi
Improving Fairness and Privacy in Selection Problems. AAAI (2021)
Fernando Gama, Brendon G. Anderson, Somayeh Sojoudi
Node-Variant Graph Filters in Graph Neural Networks. CoRR (2021)
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu
Spectral Graph Attention Network with Fast Eigen-approximation. CIKM (2021)
Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi
Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods. CoRR (2021)
Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi
Power up! Robust Graph Convolutional Network via Graph Powering. AAAI (2021)
Jingqi Li, David Fridovich-Keil, Somayeh Sojoudi, Claire J. Tomlin
Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems. CDC (2021)
Ming Jin, Javad Lavaei, Somayeh Sojoudi, Ross Baldick
Boundary Defense Against Cyber Threat for Power System State Estimation. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Fernando Gama, Somayeh Sojoudi
Graph Neural Networks for Distributed Linear-Quadratic Control. L4DC (2021)
Ziye Ma, Somayeh Sojoudi
A Sequential Framework Towards an Exact SDP Verification of Neural Networks. DSAA (2021)
Samuel Pfrommer, Tanmay Gautam, Alec Zhou, Somayeh Sojoudi
Safe Reinforcement Learning with Chance-constrained Model Predictive Control. CoRR (2021)
Igor Molybog, Somayeh Sojoudi, Javad Lavaei
No Spurious Solutions in Non-convex Matrix Sensing: Structure Compensates for Isometry. ACC (2021)
Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training. CoRR (2021)
Fernando Gama, Somayeh Sojoudi
Distributed Linear-Quadratic Control with Graph Neural Networks. CoRR (2021)
Salar Fattahi, Somayeh Sojoudi
Sample Complexity of Block-Sparse System Identification Problem. IEEE Trans. Control. Netw. Syst. 8 (4) (2021)
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks. CoRR (2021)
Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi
Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements. CoRR (2021)
Fariba Zohrizadeh, Cédric Josz, Ming Jin, Ramtin Madani, Javad Lavaei, Somayeh Sojoudi
A survey on conic relaxations of optimal power flow problem. Eur. J. Oper. Res. 287 (2) (2020)
Fernando Gama, Somayeh Sojoudi
Graph Neural Networks for Distributed Linear-Quadratic Control. CoRR (2020)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi
Improving Fairness and Privacy in Selection Problems. CoRR (2020)
Fangda Gu, Heng Chang, Wenwu Zhu, Somayeh Sojoudi, Laurent El Ghaoui
Implicit Graph Neural Networks. NeurIPS (2020)
Fangda Gu, Heng Chang, Wenwu Zhu, Somayeh Sojoudi, Laurent El Ghaoui
Implicit Graph Neural Networks. CoRR (2020)
Elizabeth Glista, Somayeh Sojoudi
Convex model to evaluate worst-case performance of local search in the Optimal Power Flow problem. CDC (2020)
Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
Efficient Learning of Distributed Linear-Quadratic Control Policies. SIAM J. Control. Optim. 58 (5) (2020)
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
Tightened Convex Relaxations for Neural Network Robustness Certification. CDC (2020)
Salar Fattahi, Cédric Josz, Reza Mohammadi-Ghazi, Javad Lavaei, Somayeh Sojoudi
Absence of Spurious Local Trajectories in Time-Varying Optimization: A Control-Theoretic Perspective. CCTA (2020)
Brendon G. Anderson, Somayeh Sojoudi
Data-Driven Assessment of Deep Neural Networks with Random Input Uncertainty. CoRR (2020)
Sangwoo Park, Elizabeth Glista, Javad Lavaei, Somayeh Sojoudi
Homotopy Method for Finding the Global Solution of Post-contingency Optimal Power Flow. ACC (2020)
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu
Spectral Graph Attention Network. CoRR (2020)
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
Tightened Convex Relaxations for Neural Network Robustness Certification. CoRR (2020)
Salar Fattahi, Somayeh Sojoudi
Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis. J. Mach. Learn. Res. 21 (2020)
Brendon G. Anderson, Somayeh Sojoudi
Certifying Neural Network Robustness to Random Input Noise from Samples. CoRR (2020)
Sangwoo Park, Elizabeth Glista, Javad Lavaei, Somayeh Sojoudi
Homotopy Method for Finding the Global Solution of Post-contingency Optimal Power Flow. ACC (2020)
Ziye Ma, Somayeh Sojoudi
Strengthened SDP Verification of Neural Network Robustness via Non-Convex Cuts. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Somayeh Sojoudi