Sojoudi, Somayeh

33 publications

TMLR 2025 DRAGON: Distributional Rewards Optimize Diffusion Generative Models Yatong Bai, Jonah Casebeer, Somayeh Sojoudi, Nicholas J. Bryan

NeurIPS 2025 Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers Yixiao Huang, Hanlin Zhu, Tianyu Guo, Jiantao Jiao, Somayeh Sojoudi, Michael I. Jordan, Stuart Russell, Song Mei

NeurIPS 2025 OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models Ziheng Cheng, Yixiao Huang, Hui Xu, Somayeh Sojoudi, Xuandong Zhao, Dawn Song, Song Mei

NeurIPS 2025 Revising and Falsifying Sparse Autoencoder Feature Explanations George Ma, Samuel Pfrommer, Somayeh Sojoudi

JMLR 2025 Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi

AISTATS 2024 Absence of Spurious Solutions Far from Ground Truth: A Low-Rank Analysis with High-Order Losses Ziye Ma, Ying Chen, Javad Lavaei, Somayeh Sojoudi

TMLR 2024 MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers Yatong Bai, Mo Zhou, Vishal M. Patel, Somayeh Sojoudi

L4DC 2024 Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai, Brendon G. Anderson, Somayeh Sojoudi

ICML 2024 Pausing Policy Learning in Non-Stationary Reinforcement Learning Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi

L4DC 2024 Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi

ICML 2024 Transport of Algebraic Structure to Latent Embeddings Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi

NeurIPS 2023 Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing Ziye Ma, Javad Lavaei, Somayeh Sojoudi

NeurIPS 2023 Asymmetric Certified Robustness via Feature-Convex Neural Networks Samuel Pfrommer, Brendon Anderson, Julien Piet, Somayeh Sojoudi

AISTATS 2023 Noisy Low-Rank Matrix Optimization: Geometry of Local Minima and Convergence Rate Ziye Ma, Somayeh Sojoudi

ICML 2023 Over-Parametrization via Lifting for Low-Rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi

TMLR 2023 Projected Randomized Smoothing for Certified Adversarial Robustness Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi

AAAI 2023 Semidefinite Programming Versus Burer-Monteiro Factorization for Matrix Sensing Baturalp Yalçin, Ziye Ma, Javad Lavaei, Somayeh Sojoudi

NeurIPS 2023 Tempo Adaptation in Non-Stationary Reinforcement Learning Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi

AISTATS 2022 Factorization Approach for Low-Complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods Baturalp Yalçın, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi

L4DC 2022 Certified Robustness via Locally Biased Randomized Smoothing Brendon G. Anderson, Somayeh Sojoudi

L4DC 2022 Safe Reinforcement Learning with Chance-Constrained Model Predictive Control Samuel Pfrommer, Tanmay Gautam, Alec Zhou, Somayeh Sojoudi

AAAI 2022 Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi

L4DC 2021 Graph Neural Networks for Distributed Linear-Quadratic Control Fernando Gama, Somayeh Sojoudi

AAAI 2021 Improving Fairness and Privacy in Selection Problems Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi

AAAI 2021 Power up! Robust Graph Convolutional Network via Graph Powering Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi

JMLR 2020 Exact Guarantees on the Absence of Spurious Local Minima for Non-Negative Rank-1 Robust Principal Component Analysis Salar Fattahi, Somayeh Sojoudi

NeurIPS 2020 Implicit Graph Neural Networks Fangda Gu, Heng Chang, Wenwu Zhu, Somayeh Sojoudi, Laurent El Ghaoui

JMLR 2019 Graphical Lasso and Thresholding: Equivalence and Closed-Form Solutions Salar Fattahi, Somayeh Sojoudi

JMLR 2019 Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery Richard Y. Zhang, Somayeh Sojoudi, Javad Lavaei

NeurIPS 2018 A Theory on the Absence of Spurious Solutions for Nonconvex and Nonsmooth Optimization Cedric Josz, Yi Ouyang, Richard Zhang, Javad Lavaei, Somayeh Sojoudi

NeurIPS 2018 How Much Restricted Isometry Is Needed in Nonconvex Matrix Recovery? Richard Zhang, Cedric Josz, Somayeh Sojoudi, Javad Lavaei

ICML 2018 Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion Richard Zhang, Salar Fattahi, Somayeh Sojoudi

JMLR 2016 Equivalence of Graphical Lasso and Thresholding for Sparse Graphs Somayeh Sojoudi