Berfin Simsek

According to our database, Berfin Simsek authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escaping, and Network Embedding.

Zhengqing Wu, Berfin Simsek, François Ged

CoRR, 2024

Expand-and-Cluster: Parameter Recovery of Neural Networks.

Flavio Martinelli, Berfin Simsek, Wulfram Gerstner, Johanni Brea

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Associative Memories with Gradient Descent.

Vivien Cabannes, Berfin Simsek, Alberto Bietti

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Expand-and-Cluster: Exact Parameter Recovery of Neural Networks.

Flavio Martinelli, Berfin Simsek, Johanni Brea, Wulfram Gerstner

CoRR, 2023

MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately).

Johanni Brea, Flavio Martinelli, Berfin Simsek, Wulfram Gerstner

CoRR, 2023

Should Under-parameterized Student Networks Copy or Average Teacher Weights?

Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Understanding out-of-distribution accuracies through quantifying difficulty of test samples.

Berfin Simsek, Melissa Hall, Levent Sagun

CoRR, 2022

2021

Deep Linear Networks Dynamics: Low-Rank Biases Induced by Initialization Scale and L2 Regularization.

Arthur Jacot, François Ged, Franck Gabriel, Berfin Simsek, Clément Hongler

CoRR, 2021

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances.

Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Kernel Alignment Risk Estimator: Risk Prediction from Training Data.

Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Implicit Regularization of Random Feature Models.

Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape.

Johanni Brea, Berfin Simsek, Bernd Illing, Wulfram Gerstner

CoRR, 2019

Online Bounded Component Analysis: A Simple Recurrent Neural Network with Local Update Rule for Unsupervised Separation of Dependent and Independent Sources.

Berfin Simsek, Alper T. Erdogan

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019