Johanni Brea

According to our database, Johanni Brea authored at least 25 papers between 2011 and 2024.

Collaborative distances:

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

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

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

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making.

Vasiliki Liakoni, Marco P. Lehmann, Alireza Modirshanechi, Johanni Brea, Antoine Lutti, Wulfram Gerstner, Kerstin Preuschoff

NeuroImage, 2022

GaussianProcesses.jl: A Nonparametric Bayes Package for the <i>Julia</i> Language.

Jamie Fairbrother, Christopher Nemeth, Maxime Rischard, Johanni Brea, Thomas Pinder

J. Stat. Softw., 2022

Neural NID Rules.

Luca Viano, Johanni Brea

CoRR, 2022

Kernel Memory Networks: A Unifying Framework for Memory Modeling.

Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Learning in Volatile Environments With the Bayes Factor Surprise.

Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea

Neural Comput., 2021

Fitting summary statistics of neural data with a differentiable spiking network simulator.

Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

On the choice of metric in gradient-based theories of brain function.

Simone Carlo Surace, Jean-Pascal Pfister, Wulfram Gerstner, Johanni Brea

PLoS Comput. Biol., 2020

2019

Biologically plausible deep learning - But how far can we go with shallow networks?

Bernd Illing, Wulfram Gerstner, Johanni Brea

Neural Networks, 2019

An Approximate Bayesian Approach to Surprise-Based Learning.

Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea

CoRR, 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

2018

Learning to Generate Music with BachProp.

Florian Colombo, Johanni Brea, Wulfram Gerstner

CoRR, 2018

Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation.

Dane S. Corneil, Wulfram Gerstner, Johanni Brea

CoRR, 2018

Efficient ModelBased Deep Reinforcement Learning with Variational State Tabulation.

Dane S. Corneil, Wulfram Gerstner, Johanni Brea

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Exponentially Long Orbits in Hopfield Neural Networks.

Samuel P. Muscinelli, Wulfram Gerstner, Johanni Brea

Neural Comput., 2017

Is prioritized sweeping the better episodic control?

Johanni Brea

CoRR, 2017

2016

Prospective Coding by Spiking Neurons.

Johanni Brea, Alexisz Tamás Gaál, Robert Urbanczik, Walter Senn

PLoS Comput. Biol., 2016

Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity.

Thomas Mesnard, Wulfram Gerstner, Johanni Brea

CoRR, 2016

Algorithmic Composition of Melodies with Deep Recurrent Neural Networks.

Florian Colombo, Samuel P. Muscinelli, Alexander Seeholzer, Johanni Brea, Wulfram Gerstner

CoRR, 2016

2014

A Normative Theory of Forgetting: Lessons from the Fruit Fly.

Johanni Brea, Robert Urbanczik, Walter Senn

PLoS Comput. Biol., 2014

2011

Sequence learning with hidden units in spiking neural networks.

Johanni Brea, Walter Senn, Jean-Pascal Pfister

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011