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<i>Sorry for multiple and cross postings.</i></div>
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<span style="font-size: 20pt; font-family: "Aptos Display", serif, EmojiFont;"><a href="https://sites.google.com/view/reservoircomputing2025/home" target="_blank" rel="noopener noreferrer" id="OWAb836c45e-fe14-2f12-7e0c-4e0d9ae87d80" class="x_x_x_x_x_OWAAutoLink" title="https://sites.google.com/view/reservoircomputing2025/home">3</a><sup><a href="https://sites.google.com/view/reservoircomputing2025/home" target="_blank" rel="noopener noreferrer" id="OWA888a4465-d34a-2b0f-cd31-6a8378c3cafe" class="x_x_x_x_x_OWAAutoLink" title="https://sites.google.com/view/reservoircomputing2025/home">rd</a></sup><a href="https://sites.google.com/view/reservoircomputing2025/home" target="_blank" rel="noopener noreferrer" id="OWAde6e9c75-8490-5ab5-9caf-6cbdd1ba44ca" class="x_x_x_x_x_OWAAutoLink" title="https://sites.google.com/view/reservoircomputing2025/home"> International
Workshop on Reservoir Computing @ ICANN 2025</a></span></h1>
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Reservoir Computing (RC) denotes a class of recurrent neural models whose dynamics are left unadapted after initialization. The approach is appealing for several reasons, such as fast training, a natural propensity to edge computing and strong theoretical foundations
with implications for the basic properties of recurrent neural networks in general.</div>
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After the success of the last year's edition, the <b>3rd International Workshop on Reservoir Computing (RC 2025)</b> intends to once again bring back together researchers to update the discussion on the state-of-the-art and the cutting-edge challenges in the
field of RC, in all its declinations.</div>
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Accepted contributions will be published as part of the ICANN 2025 proceedings in the <span style="font-weight: 700;"><u><a href="https://www.springer.com/gp/computer-science/lncs" target="_blank" rel="noopener noreferrer" id="OWA5dc2a3be-e7d3-82f3-441a-c404d6de2982" class="x_x_x_x_x_x_x_XqQF9c x_x_x_x_x_x_x_OWAAutoLink">Springer
Lecture Notes in Computer Science</a></u> (LNCS)</span> series, indexed as a peer-reviewed publication in the Web of Science. </div>
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Follow the instructions to submit your contribution: <a href="https://sites.google.com/view/reservoircomputing2025/submission" target="_blank" rel="noopener noreferrer" id="OWAa1196b79-1691-99b8-f595-d22db95d3f79" class="x_x_x_x_OWAAutoLink" title="https://sites.google.com/view/reservoircomputing2025/submission">LINK</a>.</div>
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Important dates</h1>
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<span style="font-weight: 700;">Deadline for full paper and extended abstract submission:</span> <span style="background-color: rgb(255, 255, 0);"><u>1 May 2025</u></span></div>
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<span style="font-weight: 700;">Notification of acceptance:</span> 1 June 2025</div>
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<span style="font-weight: 700;">Camera-ready upload:</span> 15 June 2025</div>
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<span style="font-weight: 700;">Conference dates:</span> 9-12 September 2025</div>
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Topics</h1>
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Topics of interest to this workshop include, but are not limited to:</div>
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Echo State Networks, Liquid State Machines</p>
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Hybrids of fully-trained and RC models</p>
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Deep Reservoir Computing</p>
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Reservoir Computing for structured data (trees, graphs, networks, …)</p>
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Ensemble learning and Reservoir Computing</p>
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Trustworthy AI concepts for Reservoir Computing</p>
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Reservoir dimensionality reduction, efficient reservoir hyper-parameter search and learning</p>
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Reservoir Computing in Neuroscience</p>
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Theoretical analysis of Reservoir Computing</p>
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Statistical Learning Theory of Reservoir Computing networks</p>
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Reservoir Computing for AI applications (e.g., vision, natural language processing, health, bioinformatics, etc.)</p>
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Submission instructions</h1>
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Submit your contribution using the instructions provided at <u><a href="https://e-nns.org/icann2025/submission" target="_blank" rel="noopener noreferrer" id="OWA5dcc1277-0068-8860-34dc-5292a350a9a5" class="x_x_x_x_x_x_x_XqQF9c x_x_x_x_x_x_x_OWAAutoLink">https://e-nns.org/icann2025/submission</a></u> on
the conference management system. Select the “<i>Workshop: Reservoir Computing</i>” track on <u><a href="https://cmt3.research.microsoft.com/ICANN2025" target="_blank" rel="noopener noreferrer" id="OWA388b9578-1c90-0429-caa8-25f669fff601" class="x_x_x_x_x_x_x_XqQF9c x_x_x_x_x_x_x_OWAAutoLink">Microsoft
CMT</a></u>.</div>
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We follow a <span style="font-weight: 700;">double-blind</span> review process.</div>
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Call for reviewers</h1>
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Please volunteer as a reviewer to help us ensure the quality of the papers presented at this special session. <span style="font-weight: 700;"><u><a href="https://forms.gle/WGFLRE65R3uWjEKG6" target="_blank" rel="noopener noreferrer" id="OWAdaef28b7-bdf3-8278-1a83-0c37922ad01e" class="x_x_x_x_OWAAutoLink" title="https://forms.gle/WGFLRE65R3uWjEKG6">Apply
here</a></u></span>.</div>
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Organizers</h1>
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<span style="font-weight: 700; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif, serif, EmojiFont;">Alessio Micheli</span>, <i>University of Pisa, Italy</i></p>
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<b>Gouhei Tanaka</b>,<i> Nagoya Institute of Technology, Japan</i></p>
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<span style="font-size: 16px; font-weight: 700;">Domenico Tortorella</span><span style="font-size: 16px;">, </span><i>University of Pisa, Italy</i></div>
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<b>Benjamin Paaßen</b>,<i> Bielefeld University, Germany</i></p>
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<b>Claudio Gallicchio</b>,<i> University of Pisa, Italy</i></p>
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<b>Xavier Hinaut</b>,<i> INRIA, France</i></p>
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<b>Andrea Ceni</b>,<i> University of Pisa, Italy</i></p>
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