posted by user: claudiogalicchio || 6641 views || tracked by 2 users: [display]

RC 2019 : The 1st International Workshop on Reservoir Computing

FacebookTwitterLinkedInGoogle

Link: https://sites.google.com/view/reservoir-computing-workshop/
 
When Sep 17, 2019 - Sep 19, 2019
Where Munich, Germany
Submission Deadline Mar 15, 2019
Notification Due May 1, 2019
Final Version Due Jun 1, 2019
Categories    machine learning   neural networks   deep learning   neuroscience
 

Call For Papers

The 1st International Workshop on Reservoir Computing (RC 2019)

Workshop of the 28th International Conference on Artificial Neural Networks (ICANN 2019)

https://sites.google.com/view/reservoir-computing-workshop/

* Scope and Topics *
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 (RC 2019) 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.

Potential topics of interest for the workshop include (without being limited to) the following:

- Echo State Networks, Liquid State Machines
- Theoretical analysis of Reservoir Computing
- Hybrids of fully-trained and RC models
- Deep reservoir models
- Reservoir Computing for structured domains (trees, graphs, networks, ...)
- Emerging paradigms of computation inspired to RC
- Time-delay Reservoir Computing
- Neuromorphic computing and Non-conventional hardware implementations of RC
- Reservoir Computing in Neuroscience
- Novel application fields for the RC paradigm

* Important Dates *
Paper submission deadline: 15 March 2019
Notification of acceptance: 1 May 2019
ICANN 2019 Conference dates: 17-19 September 2019, Munich, Germany

* Papers Submission *
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 at https://sites.google.com/view/reservoir-computing-workshop/submission

* Workshop Proceedings *
Papers accepted for the RC 2019 workshop are published by Springer in Lecture Notes in Computer Science (LNCS) within the ICANN 2019 proceedings.

* Special Issue *
Selected papers from the RC 2019 workshop will be invited for a special issue on the journal Cognitive Computation (Springer, IF 3.479).

* Workshop Organizers *
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)

The RC2019 Workshop is organized as part of the activities of the IEEE Task Force on Reservoir Computing (TFRC).

Related Resources

ITCFEC 2023   Special Issue for Submission: Internet of Things and Cloud-Fog-Edge Computing
IJCNN 2023   International Joint Conference on Neural Networks
SEKE 2023   The 35th International Conference on Software Engineering and Knowledge Engineering
MLDM 2023   18th International Conference on Machine Learning and Data Mining
PODC 2023   Principles of Distributed Computing
CSML 2023   International Conference on Computer Science and Machine Learning
MobiCom 2023   The 29th Annual International Conference On Mobile Computing And Networking (Winter Deadline)
FAIML 2023   2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2023)
ICICO 2023   6th International Conference on Intelligent Computing & Optimization 2023
CVPR 2023   The IEEE/CVF Conference on Computer Vision and Pattern Recognition