Johanni Brea - RankMe

32 papers A* 6Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Data Augmentation Techniques to Reverse-Engineer Neural Network Weights from Input-Output Queries. CoRR Alexander Beiser, Flavio Martinelli, Wulfram Gerstner, Johanni Brea
2025	J	`jnl`	Flat Channels to Infinity in Neural Loss Landscapes. CoRR Flavio Martinelli, Alexander van Meegen, Berfin Simsek, Wulfram Gerstner, Johanni Brea
2024	A*	`conf`	Expand-and-Cluster: Parameter Recovery of Neural Networks. ICML Flavio Martinelli, Berfin Simsek, Wulfram Gerstner, Johanni Brea
2023	J	`jnl`	Expand-and-Cluster: Exact Parameter Recovery of Neural Networks. CoRR Flavio Martinelli, Berfin Simsek, Johanni Brea, Wulfram Gerstner
2023	J	`jnl`	MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately). CoRR Johanni Brea, Flavio Martinelli, Berfin Simsek, Wulfram Gerstner
2023	A*	`conf`	Should Under-parameterized Student Networks Copy or Average Teacher Weights? NeurIPS Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea
2023	J	`jnl`	Should Under-parameterized Student Networks Copy or Average Teacher Weights? CoRR Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea
2022	J	`jnl`	Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making. NeuroImage Vasiliki Liakoni, Marco P. Lehmann, Alireza Modirshanechi, Johanni Brea, Antoine Lutti, Wulfram Gerstner, Kerstin Preuschoff
2022	J	`jnl`	GaussianProcesses.jl: A Nonparametric Bayes Package for the J. Stat. Softw. Jamie Fairbrother, Christopher Nemeth, Maxime Rischard, Johanni Brea, Thomas Pinder
2022	A*	`conf`	Kernel Memory Networks: A Unifying Framework for Memory Modeling. NeurIPS Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner
2022	J	`jnl`	Kernel Memory Networks: A Unifying Framework for Memory Modeling. CoRR Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner
2022	J	`jnl`	Neural NID Rules. CoRR Luca Viano, Johanni Brea
2021	A*	`conf`	Fitting summary statistics of neural data with a differentiable spiking network simulator. NeurIPS Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner
2021	J	`jnl`	Fitting summary statistics of neural data with a differentiable spiking network simulator. CoRR Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner
2021	A*	`conf`	Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. ICML Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea
2021	J	`jnl`	Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. CoRR Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea
2021	J	`jnl`	Learning in Volatile Environments With the Bayes Factor Surprise. Neural Comput. Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea
2020	J	`jnl`	On the choice of metric in gradient-based theories of brain function. PLoS Comput. Biol. Simone Carlo Surace, Jean-Pascal Pfister, Wulfram Gerstner, Johanni Brea
2019	J	`jnl`	An Approximate Bayesian Approach to Surprise-Based Learning. CoRR Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea
2019	J	`jnl`	Biologically plausible deep learning - But how far can we go with shallow networks? Neural Networks Bernd Illing, Wulfram Gerstner, Johanni Brea
2019	J	`jnl`	Biologically plausible deep learning - but how far can we go with shallow networks? CoRR Bernd Illing, Wulfram Gerstner, Johanni Brea
2019	J	`jnl`	Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape. CoRR Johanni Brea, Berfin Simsek, Bernd Illing, Wulfram Gerstner
2018	J	`jnl`	Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation. CoRR Dane S. Corneil, Wulfram Gerstner, Johanni Brea
2018	A*	`conf`	Efficient ModelBased Deep Reinforcement Learning with Variational State Tabulation. ICML Dane S. Corneil, Wulfram Gerstner, Johanni Brea
2018	J	`jnl`	Learning to Generate Music with BachProp. CoRR Florian Colombo, Johanni Brea, Wulfram Gerstner
2017	J	`jnl`	Exponentially Long Orbits in Hopfield Neural Networks. Neural Comput. Samuel P. Muscinelli, Wulfram Gerstner, Johanni Brea
2017	J	`jnl`	Is prioritized sweeping the better episodic control? CoRR Johanni Brea
2016	J	`jnl`	Algorithmic Composition of Melodies with Deep Recurrent Neural Networks. CoRR Florian Colombo, Samuel P. Muscinelli, Alexander Seeholzer, Johanni Brea, Wulfram Gerstner
2016	J	`jnl`	Prospective Coding by Spiking Neurons. PLoS Comput. Biol. Johanni Brea, Alexisz Tamás Gaál, Robert Urbanczik, Walter Senn
2016	J	`jnl`	Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity. CoRR Thomas Mesnard, Wulfram Gerstner, Johanni Brea
2014	J	`jnl`	A Normative Theory of Forgetting: Lessons from the Fruit Fly. PLoS Comput. Biol. Johanni Brea, Robert Urbanczik, Walter Senn
2011	—	`conf`	Sequence learning with hidden units in spiking neural networks. NIPS Johanni Brea, Walter Senn, Jean-Pascal Pfister