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Franz Scherr
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Journal Articles
- 2022
- [j1]Dennis V. Christensen
, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian
, Manuel Le Gallo
, Andrea Redaelli
, Stefan Slesazeck
, Thomas Mikolajick
, Sabina Spiga
, Stephan Menzel, Ilia Valov
, Gianluca Milano
, Carlo Ricciardi
, Shi-Jun Liang
, Feng Miao
, Mario Lanza
, Tyler J. Quill, Scott T. Keene
, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi
, Peng Yao, J. Joshua Yang
, Giacomo Indiveri
, John Paul Strachan
, Suman Datta, Elisa Vianello
, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy
, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio
, Mufti Mahmud
, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati
, Silvia Tolu
, Roberto Galeazzi
, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini
, N. Pryds
:
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2(2): 22501 (2022)
Conference and Workshop Papers
- 2022
- [c1]Franz Scherr, Qinghai Guo, Timoleon Moraitis:
Self-Supervised Learning Through Efference Copies. NeurIPS 2022
Parts in Books or Collections
- 2021
- [p2]Anand Subramoney, Franz Scherr, Wolfgang Maass:
Reservoirs Learn to Learn. Reservoir Computing 2021: 59-76 - 2020
- [p1]Franz Scherr:
Bestärkendes Lernen und Metalernen in neuronalen Netzwerken. Ausgezeichnete Informatikdissertationen 2020: 289-298
Informal and Other Publications
- 2022
- [i6]Franz Scherr, Qinghai Guo, Timoleon Moraitis:
Self-Supervised Learning Through Efference Copies. CoRR abs/2210.09224 (2022) - 2021
- [i5]Luke Y. Prince, Ellen Boven, Roy Henha Eyono, Arna Ghosh, Joe Pemberton, Franz Scherr, Claudia Clopath, Rui Ponte Costa, Wolfgang Maass, Blake A. Richards, Cristina Savin, Katharina Anna Wilmes:
CCN GAC Workshop: Issues with learning in biological recurrent neural networks. CoRR abs/2105.05382 (2021) - [i4]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill
, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR abs/2105.05956 (2021) - 2019
- [i3]Guillaume Bellec, Franz Scherr, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass:
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets. CoRR abs/1901.09049 (2019) - [i2]Thomas Bohnstingl, Franz Scherr, Christian Pehle, Karlheinz Meier, Wolfgang Maass:
Neuromorphic Hardware learns to learn. CoRR abs/1903.06493 (2019) - [i1]Anand Subramoney
, Franz Scherr, Wolfgang Maass:
Reservoirs learn to learn. CoRR abs/1909.07486 (2019)
Coauthor Index
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