High-Dimensional Linear Regression and Phase Retrieval via PSLQ Integer Relation Algorithm. - David Gamarnik; Eren C. Kizildag (ISIT, 2019)

Stationary Points of Shallow Neural Networks with Quadratic Activation Function. - David Gamarnik; Eren C. Kizildag; Ilias Zadik (CoRR, 2019)

Computing the Partition Function of the Sherrington-Kirkpatrick Model is Hard on Average. - David Gamarnik; Eren C. Kizildag (ISIT, 2020)

Neural Networks and Polynomial Regression. Demystifying the Overparametrization Phenomena. - Matt Emschwiller; David Gamarnik; Eren C. Kizildag; Ilias Zadik (CoRR, 2020)

Self-Regularity of Output Weights for Overparameterized Two-Layer Neural Networks. - David Gamarnik; Eren C. Kizildag; Ilias Zadik (ISIT, 2021)

Inference in High-Dimensional Linear Regression via Lattice Basis Reduction and Integer Relation Detection. - David Gamarnik; Eren C. Kizildag; Ilias Zadik (IEEE Trans. Inf. Theory, 2021)

Algorithms and Barriers in the Symmetric Binary Perceptron Model. - David Gamarnik; Eren C. Kizildag; Will Perkins 001; Changji Xu (FOCS, 2022)

The Random Number Partitioning Problem: Overlap Gap Property and Algorithmic Barriers. - David Gamarnik; Eren C. Kizildag (ISIT, 2022)

Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks. - David Gamarnik; Eren C. Kizildag; Ilias Zadik (IEEE Trans. Signal Process., 2022)

Algorithms and Algorithmic Barriers in High-Dimensional Statistics and Random Combinatorial Structures - Eren C. Kizildag (2022)

Geometric Barriers for Stable and Online Algorithms for Discrepancy Minimization. - David Gamarnik; Eren C. Kizildag; Will Perkins 001; Changji Xu (COLT, 2023)

Sharp Phase Transition for Multi Overlap Gap Property in Ising p-Spin Glass and Random k-SAT Models. - Eren C. Kizildag (CoRR, 2023)

Planted Random Number Partitioning Problem. - Eren C. Kizildag (CoRR, 2023)

A Random CSP with Connections to Discrepancy Theory and Randomized Trials. - Eren C. Kizildag (ISIT, 2024)

Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements. - Eren C. Kizildag (ALT, 2025)

Stationary Points of a Shallow Neural Network with Quadratic Activations and the Global Optimality of the Gradient Descent Algorithm. - David Gamarnik; Eren C. Kizildag; Ilias Zadik (Math. Oper. Res., 2025)

Optimal Hardness of Online Algorithms for Large Independent Sets. - David Gamarnik; Eren C. Kizildag; Lutz Warnke (CoRR, 2025)

Large Average Subtensor Problem: Ground-State, Algorithms, and Algorithmic Barriers. - Abhishek Hegade K. R.; Eren C. Kizildag (CoRR, 2025)