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1807.02389
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Accelerated physical emulation of Bayesian inference in spiking neural networks
6 July 2018
Á. F. Kungl
Sebastian Schmitt
Johann Klähn
Paul Müller
A. Baumbach
Dominik Dold
Alexander Kugele
Nico Gürtler
Luziwei Leng
Eric Müller
Christoph Koke
Mitja Kleider
Christian Mauch
O. Breitwieser
Maurice Güttler
D. Husmann
Kai Husmann
Joscha Ilmberger
Andreas Hartel
V. Karasenko
Andreas Grübl
Johannes Schemmel
K. Meier
Mihai A. Petrovici
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Papers citing
"Accelerated physical emulation of Bayesian inference in spiking neural networks"
15 / 15 papers shown
Title
Emulating insect brains for neuromorphic navigation
Korbinian Schreiber
Timo C. Wunderlich
Philipp Spilger
Sebastian Billaudelle
Benjamin Cramer
...
Christian Pehle
Eric Müller
Mihai A. Petrovici
Johannes Schemmel
Karlheinz Meier
59
0
0
31 Dec 2023
Automotive Object Detection via Learning Sparse Events by Spiking Neurons
Hu Zhang
Yanchen Li
Luziwei Leng
Kaiwei Che
Qian Liu
Qinghai Guo
Jianxing Liao
Ran Cheng
111
7
0
24 Jul 2023
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference
Boyan Li
Luziwei Leng
Shuaijie Shen
Kaixuan Zhang
Jianguo Zhang
Jianxing Liao
Ran Cheng
122
7
0
21 Jun 2023
A method for the ethical analysis of brain-inspired AI
M. Farisco
Gianluca Baldassarre
Emilio Cartoni
A. Leach
Mihai A. Petrovici
A. Rosemann
Arleen Salles
B. Stahl
Sacha Jennifer van Albada
66
3
0
18 May 2023
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network
Rui Zhang
Luziwei Leng
Kaiwei Che
Hu Zhang
Jieling Cheng
Qinghai Guo
Jiangxing Liao
Ran Cheng
97
12
0
24 Apr 2023
Differentiable graph-structured models for inverse design of lattice materials
Dominik Dold
Derek Aranguren van Egmond
AI4CE
76
13
0
11 Apr 2023
From Clean Room to Machine Room: Commissioning of the First-Generation BrainScaleS Wafer-Scale Neuromorphic System
H. Schmidt
José Montes
Andreas Grübl
Maurice Güttler
D. Husmann
...
Christian Mauch
Eric Müller
Lars Sterzenbach
Johannes Schemmel
Sebastian Schmitt
48
4
0
22 Mar 2023
Three Learning Stages and Accuracy-Efficiency Tradeoff of Restricted Boltzmann Machines
Lennart Dabelow
Masahito Ueda
76
11
0
02 Sep 2022
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware
Eric Müller
E. Arnold
O. Breitwieser
Milena Czierlinski
Arne Emmel
...
V. Karasenko
Mitja Kleider
Aron Leibfried
Christian Pehle
Johannes Schemmel
50
24
0
21 Mar 2022
Variational learning of quantum ground states on spiking neuromorphic hardware
Robert Klassert
A. Baumbach
Mihai A. Petrovici
M. Gärttner
63
7
0
30 Sep 2021
Spiking neuromorphic chip learns entangled quantum states
Stefanie Czischek
A. Baumbach
Sebastian Billaudelle
Benjamin Cramer
Lukas Kades
...
M. Oberthaler
Johannes Schemmel
Mihai A. Petrovici
T. Gasenzer
M. Gärttner
73
12
0
03 Aug 2020
Cortical oscillations implement a backbone for sampling-based computation in spiking neural networks
Agnes Korcsak-Gorzo
Michael G. Müller
A. Baumbach
Luziwei Leng
O. Breitwieser
Sacha Jennifer van Albada
Walter Senn
K. Meier
Robert Legenstein
Mihai A. Petrovici
44
11
0
19 Jun 2020
The Operating System of the Neuromorphic BrainScaleS-1 System
Eric Müller
Sebastian Schmitt
Christian Mauch
Sebastian Billaudelle
Andreas Grübl
...
H. Schmidt
Bernhard Vogginger
Jonas Weidner
Christian Mayr
Johannes Schemmel
69
26
0
30 Mar 2020
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System
Andreas Grübl
Sebastian Billaudelle
Benjamin Cramer
V. Karasenko
Johannes Schemmel
136
34
0
25 Mar 2020
Fast and energy-efficient neuromorphic deep learning with first-spike times
Julian Goltz
Laura Kriener
A. Baumbach
Sebastian Billaudelle
O. Breitwieser
...
Á. F. Kungl
Walter Senn
Johannes Schemmel
K. Meier
Mihai A. Petrovici
165
132
0
24 Dec 2019
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