Sebastian Bitzer

Alberto Ravagnani

Violetta Weger

CoRR, 2024

2023

FuLeeca: A Lee-based Signature Scheme.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

Zero Knowledge Protocols and Signatures from the Restricted Syndrome Decoding Problem.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

Generic Decoding in the Cover Metric.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2023

Generic Decoding of Restricted Errors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

On Hard and Soft Decision Decoding of BCH Codes.

[BibT_eX]

[DOI]

Martin Bossert

Rebekka Schulz

IEEE Trans. Inf. Theory, 2022

On Multibasis Information Set Decoding.

[BibT_eX]

[DOI]

Martin Bossert

Proceedings of the IEEE International Symposium on Information Theory, 2022

2020

Iterative Decoding of Non-Binary Cyclic Codes Using Minimum-Weight Dual Codewords.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Channel Models for Physical Unclonable Functions based on DRAM Retention Measurements.

[BibT_eX]

[DOI]

Proceedings of the XVI International Symposium "Problems of Redundancy in Information and Control Systems", 2019

2018

Deterministic response strategies in a trial-and-error learning task.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2018

2017

A Bayesian Reformulation of the Extended Drift-Diffusion Model in Perceptual Decision Making.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2017

2015

Modelling Odor Decoding in the Antennal Lobe by Combining Sequential Firing Rate Models with Bayesian Inference.

[BibT_eX]

[DOI]

Dario Cuevas Rivera

PLoS Comput. Biol., 2015

A Bayesian Attractor Model for Perceptual Decision Making.

[BibT_eX]

[DOI]

Jelle P. Bruineberg

PLoS Comput. Biol., 2015

Comparison of variants of canonical correlation analysis and partial least squares for combined analysis of MRI and genetic data.

[BibT_eX]

[DOI]

NeuroImage, 2015

The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2012

Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networks.

[BibT_eX]

[DOI]

Biol. Cybern., 2012

2011

Nonlinear dimensionality reduction for motion synthesis and control.

[BibT_eX]

[DOI]

PhD thesis, 2011

2010

Using dimensionality reduction to exploit constraints in reinforcement learning.

[BibT_eX]

[DOI]

Matthew Howard

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

2009

Latent spaces for dynamic movement primitives.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

Does dimensionality reduction improve the quality of motion interpolation?

[BibT_eX]

[DOI]

Stefan Klanke

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008

Synthesising Novel Movements through Latent Space Modulation of Scalable Control Policies.

[BibT_eX]

[DOI]

Ioannis Havoutis

Proceedings of the From Animals to Animats 10, 2008

2007

Sensor-assisted adaptive motor control under continuously varying context.

[BibT_eX]

Proceedings of the ICINCO 2007, 2007

2006

Learning EMG Control of a Robotic Hand: Towards Active Prostheses.

[BibT_eX]

[DOI]