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Reservoir Computing Workshop 2020 : The 2nd International Workshop on Reservoir Computing @ ICANN 2020

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Link: https://sites.google.com/view/reservoircomputing2020/
 
When Sep 15, 2020 - Sep 18, 2020
Where Bratislava, Slovakia
Submission Deadline Mar 31, 2020
Notification Due May 31, 2020
Final Version Due Jun 15, 2020
Categories    neural networks   machine learning   reservoir computing   echo state networks
 

Call For Papers

* DESCRIPTION AND TOPICS *
Reservoir Computing (RC) denotes a class of recurrent neural models whose dynamics are left unadapted after initialization. The approach is appealing for several reasons, among which fast training, neuromorphic hardware implementations, and a natural propensity to edge computing.
In the wake of the success of the first edition, the 2nd International Workshop on Reservoir Computing (RC 2020) intends to bring together researchers to discuss the state-of-the-art and open challenges in the field of RC, in all its declinations. These include, among the others, new models of Echo State Networks and Liquid State Machines, non-conventional hardware (e.g., photonic) implementations of RC systems, applications to problems of AI size with human-level performance, emerging paradigms (e.g., conceptors), RC for structured data, deep RC, hybrid RC/fully trained RNN models, and many more. The workshop provides an open forum for researchers to meet and present recent contributions and ideas in a fervid and highly interdisciplinary environment. Industrial contributions are welcome.
Potential topics of interest for the workshop include (without being limited to) the following:
- Echo State Networks, Liquid State Machines
- Neuromorphic computing and Non-conventional hardware implementations of RC
- Theoretical analysis of Reservoir Computing
- Hybrids of fully-trained and RC models
- Deep Reservoir Computing
- Reservoir Computing for structured data (trees, graphs, networks, ...)
- Conceptors
- Time-delay Reservoir Computing
- Reservoir Computing in Neuroscience
- Reservoir Computing for AI applications (e.g., vision, natural language processing, etc.)
- Statistical Learning Theory of Reservoir Computing networks
- Ensemble learning and Reservoir Computing
- Reservoir dimensionality reduction, efficient reservoir hyper-parameter search and learning

* IMPORTANT DATES *
Deadline for full paper and extended abstract submission: 31 Mar 2020 (extended)
Notification of acceptance: 31 May 2020 (extended)
Camera-ready paper and registration opening: 15 June 2020 (extended)
Registration deadline for authors with accepted contributions: 15 Jun 2020
Deadline for early registration at discount rate: 15 June 2020
Conference dates: 15-18 September 2020

* Workshop Organizers and Program Chairs *
Claudio Gallicchio (University of Pisa, Italy)
Alessio Micheli (University of Pisa, Italy)
Simone Scardapane (La Sapienza University of Rome, Italy)
Miguel C. Soriano (University of the Balearic Islands, Spain)
Gouhei Tanaka (The University of Tokyo, Japan)

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