default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJohanni Brea
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c7]Flavio Martinelli, Berfin Simsek, Wulfram Gerstner, Johanni Brea:
Expand-and-Cluster: Parameter Recovery of Neural Networks. ICML 2024- 2023
- [c6]Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea:
Should Under-parameterized Student Networks Copy or Average Teacher Weights? NeurIPS 2023 - [i15]Johanni Brea, Flavio Martinelli
, Berfin Simsek, Wulfram Gerstner:
MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately). CoRR abs/2301.10638 (2023) - [i14]Flavio Martinelli, Berfin Simsek, Johanni Brea, Wulfram Gerstner:
Expand-and-Cluster: Exact Parameter Recovery of Neural Networks. CoRR abs/2304.12794 (2023) - [i13]Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea:
Should Under-parameterized Student Networks Copy or Average Teacher Weights? CoRR abs/2311.01644 (2023) - 2022
- [j8]Jamie Fairbrother, Christopher Nemeth, Maxime Rischard, Johanni Brea, Thomas Pinder:
GaussianProcesses.jl: A Nonparametric Bayes Package for the Julia Language. J. Stat. Softw. 102(1) (2022) - [j7]Vasiliki Liakoni, Marco P. Lehmann, Alireza Modirshanechi, Johanni Brea, Antoine Lutti, Wulfram Gerstner, Kerstin Preuschoff:
Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making. NeuroImage 246: 118780 (2022) - [c5]Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner:
Kernel Memory Networks: A Unifying Framework for Memory Modeling. NeurIPS 2022 - [i12]Luca Viano, Johanni Brea:
Neural NID Rules. CoRR abs/2202.06036 (2022) - [i11]Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner:
Kernel Memory Networks: A Unifying Framework for Memory Modeling. CoRR abs/2208.09416 (2022) - 2021
- [j6]Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea:
Learning in Volatile Environments With the Bayes Factor Surprise. Neural Comput. 33(2): 269-340 (2021) - [c4]Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea:
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. ICML 2021: 9722-9732 - [c3]Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner:
Fitting summary statistics of neural data with a differentiable spiking network simulator. NeurIPS 2021: 18552-18563 - [i10]Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea:
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. CoRR abs/2105.12221 (2021) - [i9]Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner:
Fitting summary statistics of neural data with a differentiable spiking network simulator. CoRR abs/2106.10064 (2021) - 2020
- [j5]Simone Carlo Surace, Jean-Pascal Pfister, Wulfram Gerstner, Johanni Brea:
On the choice of metric in gradient-based theories of brain function. PLoS Comput. Biol. 16(4) (2020)
2010 – 2019
- 2019
- [j4]Bernd Illing, Wulfram Gerstner, Johanni Brea:
Biologically plausible deep learning - But how far can we go with shallow networks? Neural Networks 118: 90-101 (2019) - [i8]Bernd Illing, Wulfram Gerstner, Johanni Brea:
Biologically plausible deep learning - but how far can we go with shallow networks? CoRR abs/1905.04101 (2019) - [i7]Johanni Brea, Berfin Simsek, Bernd Illing, Wulfram Gerstner:
Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape. CoRR abs/1907.02911 (2019) - [i6]Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea:
An Approximate Bayesian Approach to Surprise-Based Learning. CoRR abs/1907.02936 (2019) - 2018
- [c2]Dane S. Corneil, Wulfram Gerstner, Johanni Brea:
Efficient ModelBased Deep Reinforcement Learning with Variational State Tabulation. ICML 2018: 1057-1066 - [i5]Dane S. Corneil, Wulfram Gerstner, Johanni Brea:
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation. CoRR abs/1802.04325 (2018) - [i4]Florian Colombo, Johanni Brea, Wulfram Gerstner:
Learning to Generate Music with BachProp. CoRR abs/1812.06669 (2018) - 2017
- [j3]Samuel P. Muscinelli, Wulfram Gerstner, Johanni Brea:
Exponentially Long Orbits in Hopfield Neural Networks. Neural Comput. 29(2): 458-484 (2017) - [i3]Johanni Brea:
Is prioritized sweeping the better episodic control? CoRR abs/1711.06677 (2017) - 2016
- [j2]Johanni Brea, Alexisz Tamás Gaál, Robert Urbanczik, Walter Senn:
Prospective Coding by Spiking Neurons. PLoS Comput. Biol. 12(6) (2016) - [i2]Florian Colombo, Samuel P. Muscinelli, Alexander Seeholzer, Johanni Brea, Wulfram Gerstner:
Algorithmic Composition of Melodies with Deep Recurrent Neural Networks. CoRR abs/1606.07251 (2016) - [i1]Thomas Mesnard, Wulfram Gerstner, Johanni Brea:
Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity. CoRR abs/1612.03214 (2016) - 2014
- [j1]Johanni Brea, Robert Urbanczik, Walter Senn:
A Normative Theory of Forgetting: Lessons from the Fruit Fly. PLoS Comput. Biol. 10(6) (2014) - 2011
- [c1]Johanni Brea, Walter Senn, Jean-Pascal Pfister:
Sequence learning with hidden units in spiking neural networks. NIPS 2011: 1422-1430
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 00:27 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
