The Maxflow problem and a generalization to simplicial complexes - Fabian Latorre (CoRR, 2012)

Fast and Provable ADMM for Learning with Generative Priors. - Fabian Latorre; Armin Eftekhari; Volkan Cevher (NeurIPS, 2019)

An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints. - Mehmet Fatih Sahin; Armin Eftekhari; Ahmet Alacaoglu; Fabian Latorre; Volkan Cevher (NeurIPS, 2019)

Lipschitz constant estimation of Neural Networks via sparse polynomial optimization. - Fabian Latorre; Paul Rolland; Volkan Cevher (ICLR, 2020)

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. - Fabian Latorre; Paul Rolland; Nadav Hallak; Volkan Cevher (ICML, 2020)

A Plug-and-Play Deep Image Prior. - Zhaodong Sun; Fabian Latorre; Thomas Sanchez; Volkan Cevher (ICASSP, 2021)

The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers. - Fabian Latorre; Leello Tadesse Dadi; Paul Rolland; Volkan Cevher (NeurIPS, 2021)

Controlling the Complexity and Lipschitz Constant improves Polynomial Nets. - Zhenyu Zhu; Fabian Latorre; Grigorios Chrysos 002; Volkan Cevher (ICLR, 2022)

OTW: Optimal Transport Warping for Time Series. - Fabian Latorre; Chenghao Liu; Doyen Sahoo; Steven C. H. Hoi (ICASSP, 2023)

Finding Actual Descent Directions for Adversarial Training. - Fabian Latorre; Igor Krawczuk; Leello Tadesse Dadi; Thomas Pethick; Volkan Cevher (ICLR, 2023)

Adversarial Training Should Be Cast as a Non-Zero-Sum Game. - Alexander Robey; Fabian Latorre; George J. Pappas; Hamed Hassani; Volkan Cevher (ICLR, 2024)

Improving SAM Requires Rethinking its Optimization Formulation. - Wanyun Xie; Fabian Latorre; Kimon Antonakopoulos; Thomas Pethick; Volkan Cevher (ICML, 2024)