Simsek, Berfin

9 publications

NeurIPS 2025 Flat Channels to Infinity in Neural Loss Landscapes Flavio Martinelli, Alexander van Meegen, Berfin Simsek, Wulfram Gerstner, Johanni Brea

AISTATS 2025 Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence Berfin Simsek, Amire Bendjeddou, Daniel Hsu

ICLR 2025 Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding Frank Zhengqing Wu, Berfin Simsek, François Gaston Ged

ICML 2024 Expand-and-Cluster: Parameter Recovery of Neural Networks Flavio Martinelli, Berfin Simsek, Wulfram Gerstner, Johanni Brea

ICML 2024 Learning Associative Memories with Gradient Descent Vivien Cabannes, Berfin Simsek, Alberto Bietti

NeurIPS 2023 Should Under-Parameterized Student Networks Copy or Average Teacher Weights? Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea

ICML 2021 Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clement Hongler, Wulfram Gerstner, Johanni Brea

ICML 2020 Implicit Regularization of Random Feature Models Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clement Hongler, Franck Gabriel

NeurIPS 2020 Kernel Alignment Risk Estimator: Risk Prediction from Training Data Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clement Hongler, Franck Gabriel