Brea, Johanni

8 publications

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

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

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

NeurIPS 2022 Kernel Memory Networks: A Unifying Framework for Memory Modeling Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner

NeurIPS 2021 Fitting Summary Statistics of Neural Data with a Differentiable Spiking Network Simulator Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner

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 2018 Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation Dane Corneil, Wulfram Gerstner, Johanni Brea

NeurIPS 2011 Sequence Learning with Hidden Units in Spiking Neural Networks Johanni Brea, Walter Senn, Jean-pascal Pfister