September 17-19, 2019, Munich, Germany
The 1st International Workshop on Reservoir Computing (RC 2019)
Reservoir Computing (RC) is a leading edge paradigm for the design of efficiently trainable Recurrent Neural Network models. The first International Workshop on Reservoir Computing will bring together researchers to discuss the state-of-the-art and open challenges for the field of RC, in all its declinations. These include, but are not limited to, new models of Echo State Networks and Liquid State Machines, non-conventional hardware implementations, new emerging paradigms (e.g., conceptors), extensions of RC to complex streams of data, hybrids of deep and shallow models, modeling of neuronal dynamics, and many more. The workshop provides an open forum for researchers to meet and present recent contributions and ideas in a highly interdisciplinary environment.
More info TBA
"Bringing reservoirs up to speed for deep learning"
Contributions for the RC 2019 workshop should be submitted through the ICANN 2019 submission system and will undergo the same careful peer-review process by a panel of experts in the field.
See more info on the Submission webpage.
Deadline of proceedings paper submission: 15 March 2019
Notification of acceptance: 1 May 2019
Camera-ready paper and registration opening: 1 June 2019
ICANN 2019 Conference dates: 17-19 September 2019