Bernhard Nessler

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 8

Top Topics

Nash Equilibrium

Top Venues

PLoS Comput. Biol.

Publications

Bernhard Nessler, Thomas Doms, Sepp Hochreiter
Functional trustworthiness of AI systems by statistically valid testing. CoRR (2023)
Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser
The balancing principle for parameter choice in distance-regularized domain adaptation. NeurIPS (2021)
Philip Matthias Winter, Sebastian Eder, Johannes Weissenböck, Christoph Schwald, Thomas Doms, Tom Vogt, Sepp Hochreiter, Bernhard Nessler
Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications. CoRR (2021)
Johannes Lehner, Andreas Mitterecker, Thomas Adler, Markus Hofmarcher, Bernhard Nessler, Sepp Hochreiter
Patch Refinement - Localized 3D Object Detection. CoRR (2019)
Thomas Unterthiner, Bernhard Nessler, Calvin Seward, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields. ICLR (Poster) (2018)
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Sepp Hochreiter
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. NIPS (2017)
Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields. CoRR (2017)
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium. CoRR (2017)
Christoph Hartmann, Andreea Lazar, Bernhard Nessler, Jochen Triesch
Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. PLoS Comput. Biol. 11 (12) (2015)
David Kappel, Bernhard Nessler, Wolfgang Maass
STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning. PLoS Comput. Biol. 10 (3) (2014)
Bernhard Nessler, Michael Pfeiffer, Lars Buesing, Wolfgang Maass
Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity. PLoS Comput. Biol. 9 (4) (2013)
Stefan Habenschuss, Johannes Bill, Bernhard Nessler
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints. NIPS (2012)
Lars Buesing, Johannes Bill, Bernhard Nessler, Wolfgang Maass
Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons. PLoS Comput. Biol. 7 (11) (2011)
Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas, Wolfgang Maass
Reward-Modulated Hebbian Learning of Decision Making. Neural Comput. 22 (6) (2010)
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
STDP enables spiking neurons to detect hidden causes of their inputs. NIPS (2009)
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
Hebbian Learning of Bayes Optimal Decisions. NIPS (2008)