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Articles by Johanni Brea

Emergent rate-based dynamics in duplicate-free populations of spiking neurons
7 November 2024 by Valentin Schmutz and others
Neurons and Cognition
Kernel Memory Networks: A Unifying Framework for Memory Modeling
23 July 2024 by Georgios Iatropoulos and others at LogoÉcole Polytechnique Fédérale De Lausanne
Neural and Evolutionary Computing
Expand-and-Cluster: Parameter Recovery of Neural Networks
27 June 2024 by Flavio Martinelli and others
Neural and Evolutionary Computing
Should Under-parameterized Student Networks Copy or Average Teacher Weights?
16 January 2024 by Berfin Şimşek and others at LogoÉcole Polytechnique Fédérale De Lausanne
Machine Learning, Neural and Evolutionary Computing
MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately)
25 January 2023 by Johanni Brea and others
Machine Learning
Surprise: a unified theory and experimental predictions
9 September 2022 by A. Modirshanechi and others at LogoEPFL
Neuroscience
A taxonomy of surprise definitions
2 September 2022 by Alireza Modirshanechi and others
Neurons and Cognition, Machine Learning
Neural NID Rules
12 February 2022 by Luca Viano and Johanni Brea
Machine Learning, Artificial Intelligence
Fitting summary statistics of neural data with a differentiable spiking network simulator
14 November 2021 by Guillaume Bellec and others
Machine Learning, Neurons and Cognition
Testing two competing hypotheses for Eurasian jays' caching for the future: planning versus compensatory caching
12 January 2021 by P. Amodio and others at LogoUniversity of Cambridge
Animal Behavior and Cognition
An Approximate Bayesian Approach to Surprise-Based Learning
28 February 2020 by Vasiliki Liakoni and others
Machine Learning, Neurons and Cognition
Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape
5 July 2019 by Johanni Brea and others
Machine Learning
GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language
30 June 2019 by Jamie Fairbrother and others
Computation, Machine Learning
Biologically plausible deep learning -- but how far can we go with shallow networks?
17 June 2019 by Bernd Illing and others
Neural and Evolutionary Computing, Machine Learning
Learning to Generate Music with BachProp
12 June 2019 by Florian Colombo and others
Sound, Machine Learning
Is prioritized sweeping the better episodic control?
9 August 2018 by Johanni Brea
Artificial Intelligence, Machine Learning
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation
11 June 2018 by Dane Corneil and others
Machine Learning, Artificial Intelligence
The limitations of gradient descent as a principle of brain function
1 June 2018 by Simone Carlo Surace and Johanni Brea
Neurons and Cognition
Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of neoHebbian Three-Factor Learning Rules
16 January 2018 by Wulfram Gerstner and others
Neurons and Cognition
Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity
9 December 2016 by Thomas Mesnard and others
Machine Learning, Neural and Evolutionary Computing
Algorithmic Composition of Melodies with Deep Recurrent Neural Networks
23 June 2016 by Florian Colombo and others
Machine Learning