activity
20122023
most citedRecognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networks

24 citations · 47 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2023

Generic Decoding of Restricted Errors

Marco Baldi, Sebastian Bitzer, Alessio Pavoni +3

Several recently proposed code-based cryptosystems base their security on a slightly generalized version of the classical (syndrome) decoding problem. Namely, in the so-called rest…

cs.IT2022

Generic Decoding in the Cover Metric

Sebastian Bitzer, Julian Renner, Antonia Wachter-Zeh +1

In this paper, we study the hardness of decoding a random code endowed with the cover metric. As the cover metric lies in between the Hamming and rank metric, it presents itself as…

cs.IT2021★ 21 cited

On Hard and Soft Decision Decoding of BCH Codes

Martin Bossert, Rebekka Schulz, Sebastian Bitzer

The binary primitive BCH codes are cyclic and are constructed by choosing a subset of the cyclotomic cosets. Which subset is chosen determines the dimension, the minimum distance a…

q-bio.NC2015★ 1 cited

The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions

Sebastian Bitzer, Stefan J. Kiebel

In simple perceptual decisions the brain has to identify a stimulus based on noisy sensory samples from the stimulus. Basic statistical considerations state that the reliability of…

q-bio.NC2012★ 1 cited

Online Discrimination of Nonlinear Dynamics with Switching Differential Equations

Sebastian Bitzer, Izzet B. Yildiz, Stefan J. Kiebel

How to recognise whether an observed person walks or runs? We consider a dynamic environment where observations (e.g. the posture of a person) are caused by different dynamic proce…

q-bio.NC2012★ 24 cited

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

Sebastian Bitzer, Stefan J. Kiebel

Recurrent neural networks (RNNs) are widely used in computational neuroscience and machine learning applications. In an RNN, each neuron computes its output as a nonlinear function…