Johanni Brea

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Papers (10)

1. Flat Channels to Infinity in Neural Loss Landscapes cs.LG · 2025 · author #5
2. Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape cs.LG · 2019 · author #1
3. Biologically plausible deep learning -- but how far can we go with shallow networks? cs.NE · 2019 · author #3
4. GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language stat.CO · 2018 · author #4
5. On the choice of metric in gradient-based theories of brain function q-bio.NC · 2018 · author #4
6. Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation cs.LG · 2018 · author #3
7. Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of neoHebbian Three-Factor Learning Rules q-bio.NC · 2018 · author #5
8. Is prioritized sweeping the better episodic control? cs.AI · 2017 · author #1
9. Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity cs.LG · 2016 · author #3
10. Algorithmic Composition of Melodies with Deep Recurrent Neural Networks stat.ML · 2016 · author #4

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Frequent Coauthors

• Wulfram Gerstner 8 shared papers
• Bernd Illing 2 shared papers
• Dane Corneil 2 shared papers
• Alexander Seeholzer 1 shared papers
• Alexander Van Meegen 1 shared papers
• Berfin \c{S}im\c{s}ek 1 shared papers
• Berfin Simsek 1 shared papers
• Christopher Nemeth 1 shared papers
• Flavio Martinelli 1 shared papers
• Florian Colombo 1 shared papers
• Jamie Fairbrother 1 shared papers
• Jean-Pascal Pfister 1 shared papers
• Marco Lehmann 1 shared papers
• Maxime Rischard 1 shared papers
• Samuel P. Muscinelli 1 shared papers
• Simone Carlo Surace 1 shared papers
• Thomas Mesnard 1 shared papers
• Thomas Pinder 1 shared papers
• Vasiliki Liakoni 1 shared papers