| Lipschitz constant estimation of Neural Networks via sparse polynomial optimization F Latorre, P Rolland, V Cevher International Conference on Learning Representations, 2020, 2019 | 128 | 2019 |
| An inexact augmented Lagrangian framework for nonconvex optimization with nonlinear constraints MF Sahin, A Alacaoglu, F Latorre, V Cevher Advances in Neural Information Processing Systems 32, 2019 | 69 | 2019 |
| Fast and provable ADMM for learning with generative priors F Latorre, V Cevher Advances in Neural Information Processing Systems 32, 2019 | 47* | 2019 |
| A plug-and-play deep image prior Z Sun, F Latorre, T Sanchez, V Cevher ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 18 | 2021 |
| Controlling the complexity and lipschitz constant improves polynomial nets Z Zhu, F Latorre, GG Chrysos, V Cevher arXiv preprint arXiv:2202.05068, 2022 | 11 | 2022 |
| The effect of the intrinsic dimension on the generalization of quadratic classifiers F Latorre, LT Dadi, P Rolland, V Cevher Advances in Neural Information Processing Systems 34, 21138-21149, 2021 | 8 | 2021 |
| Adversarial training should be cast as a non-zero-sum game A Robey, F Latorre, GJ Pappas, H Hassani, V Cevher arXiv preprint arXiv:2306.11035, 2023 | 7 | 2023 |
| Finding actual descent directions for adversarial training F Latorre, I Krawczuk, LT Dadi, TM Pethick, V Cevher 11th International Conference on Learning Representations (ICLR), 2023 | 5 | 2023 |
| Efficient proximal mapping of the 1-path-norm of shallow networks F Latorre, P Rolland, N Hallak, V Cevher International Conference on Machine Learning, 5651-5661, 2020 | 4 | 2020 |
| Solving inverse problems with hybrid deep image priors: the challenge of preventing overfitting Z Sun, T Sanchez, F Latorre, V Cevher arXiv preprint arXiv:2011.01748, 2020 | 4 | 2020 |
| The Maxflow problem and a generalization to simplicial complexes F Latorre arXiv preprint arXiv:1212.1406, 2012 | 2 | 2012 |
| Improving SAM Requires Rethinking its Optimization Formulation W Xie, F Latorre, K Antonakopoulos, T Pethick, V Cevher | | 2023 |
| 1-Path-Norm Regularization of Deep Neural Networks F Latorre, A Bonnet, P Rolland, N Hallak, V Cevher LatinX in AI Workshop at ICML 2023 (Regular Deadline), 2023 | | 2023 |
| OTW: Optimal Transport Warping for Time Series F Latorre, C Liu, D Sahoo, SCH Hoi ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | | 2023 |
| Linear Convergence of SGD on Overparametrized Shallow Neural Networks P Rolland, A Ramezani-Kebrya, CH Song, F Latorre, V Cevher | | 2021 |
| Complexity Regularization and Local Metric Entropy F Latorre arXiv preprint arXiv:1609.02855, 2016 | | 2016 |
| An incidence Hopf Algebra of Convex Geometries F Latorre arXiv preprint arXiv:1212.1407, 2012 | | 2012 |
| Group ID U12179 A Alacaoglu, K Antonakopoulos, C Aprile, A Asaei, B Bah, L Baldassarre, ... | | |
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar.Verified email at epfl.ch
