Bernhard Nessler

According to our database, Bernhard Nessler authored at least 17 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Functional trustworthiness of AI systems by statistically valid testing.

Bernhard Nessler, Thomas Doms, Sepp Hochreiter

CoRR, 2023

2021

Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications.

Philip Matthias Winter, Sebastian Eder, Johannes Weissenböck, Christoph Schwald, Thomas Doms, Tom Vogt, Sepp Hochreiter, Bernhard Nessler

CoRR, 2021

The balancing principle for parameter choice in distance-regularized domain adaptation.

Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation.

Markus Hofmarcher, Thomas Unterthiner, Jose A. Arjona-Medina, Günter Klambauer, Sepp Hochreiter, Bernhard Nessler

Proceedings of the Explainable AI: Interpreting, 2019

Patch Refinement - Localized 3D Object Detection.

Johannes Lehner, Andreas Mitterecker, Thomas Adler, Markus Hofmarcher, Bernhard Nessler, Sepp Hochreiter

CoRR, 2019

2018

Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields.

Thomas Unterthiner, Bernhard Nessler, Calvin Seward, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields.

Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter

CoRR, 2017

GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium.

Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter

CoRR, 2017

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Sepp Hochreiter

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network.

Christoph Hartmann, Andreea Lazar, Bernhard Nessler, Jochen Triesch

PLoS Comput. Biol., 2015

2014

STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning.

David Kappel, Bernhard Nessler, Wolfgang Maass

PLoS Comput. Biol., 2014

2013

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity.

Bernhard Nessler, Michael Pfeiffer, Lars Buesing, Wolfgang Maass

PLoS Comput. Biol., 2013

2012

Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints.

Stefan Habenschuss, Johannes Bill, Bernhard Nessler

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons.

Lars Buesing, Johannes Bill, Bernhard Nessler, Wolfgang Maass

PLoS Comput. Biol., 2011

2010

Reward-Modulated Hebbian Learning of Decision Making.

Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas, Wolfgang Maass

Neural Comput., 2010

2009

STDP enables spiking neurons to detect hidden causes of their inputs.

Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Hebbian Learning of Bayes Optimal Decisions.

Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass

Proceedings of the Advances in Neural Information Processing Systems 21, 2008