ICANN: International Conference on Artificial Neural Networks

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Past:   Proceedings on DBLP

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All CFPs on WikiCFP

Event When Where Deadline
ICANN 2024 33rd International Conference on Artificial Neural Networks
Sep 17, 2024 - Sep 20, 2024 Lugano-Viganello, Switzerland Mar 15, 2024
ICANN 2023 32nd International Conference on Artificial Neural Networks
Sep 23, 2023 - Sep 26, 2023 Heraklion, Crete, Greece Apr 19, 2023
ICANN 2022 31st International Conference on Artificial Neural Networks
Sep 6, 2022 - Sep 9, 2022 Bristol, UK Apr 13, 2022
ICANN 2021 30th International Conference on Artificial Neural Networks
Sep 14, 2021 - Sep 17, 2021 Online Apr 15, 2021
ICANN 2020 29th International Conference on Artificial Neural Networks
Sep 15, 2020 - Sep 18, 2020 Bratislava, Slovakia Apr 30, 2020
ICANN 2019 28th International Conference on Artificial Neural Networks
Sep 17, 2019 - Sep 19, 2019 Munich, Germany Apr 5, 2019
ICANN 2018 27th International Conference on Artificial Neural Networks
Oct 5, 2018 - Oct 7, 2018 island of Rhodes Greece May 2, 2018
ICANN 2017 International Conference on Artificial Neural Networks 2017
Sep 11, 2017 - Sep 15, 2017 Alghero, Sardinia, Italy Apr 3, 2017
ICANN 2016 25th International Conference on Artificial Neural Networks
Sep 6, 2016 - Sep 9, 2016 Barcelona, Spain Mar 1, 2016
ICANN 2014 The 24th International Conference on Artificial Neural Networks
Sep 15, 2014 - Sep 19, 2014 Hamburg, Germany Feb 27, 2014
ICANN 2012 22nd International Conference on Artificial Neural Networks
Sep 11, 2012 - Sep 14, 2012 Lausanne, Switzerland Apr 9, 2012
ICANN 2011 21st International Conference on Artificial Neural Networks
Jun 14, 2011 - Jun 17, 2011 Espoo, Finland Jan 14, 2011
ICANN 2010 International Conference on Artificial Neural Networks
Sep 15, 2010 - Sep 18, 2010 Thessaloniki, Greece May 3, 2010
ICANN 2008 International Conference on Artificial Neural Networks
Sep 3, 2008 - Sep 6, 2008 Prague, Czech Republic Mar 10, 2008
 
 

Present CFP : 2024

33rd International Conference on Artificial Neural Networks
ICANN 2024

https://e-nns.org/icann2024/

Dates: 17th to 20th of September 2024
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The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2024 the conference will be hosted by the swiss AI lab IDSIA and it will be held at the USI & SUPSI Campus Est, Lugano-Viganello, Switzerland.

ICANN 2024 is a conference featuring tracks in Artificial Intelligence and Machine Learning, Bio-inspired computing, and applications, with strong cross-disciplinary interactions. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes the following.

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Theory and Foundations of Neural Networks
NN Convergence and Generalization, Loss Landscape Analysis

Novel Neural Network Architectures
Innovation in Recurrent and Transformer Architectures, Dynamical Models, Physically Informed NNs, Novel Learning Algorithms

Topics in Neural Networks
Generative Networks, Adaptation and Transfer Learning, Zero-Shot Learning, Lifelong learning, Knowledge Distillation, Representation Learning, Self-Supervised Learning, Contrastive Learning

Explainable AI
Local and Global Explanations, Feature Attribution, Saliency Methods, Circuits, Counterfactuals
Graph Methods, Graph Neural Networks, and Clustering
Bayesian Networks, Graph neural networks

Reinforcement Learning
Deep Reinforcement Learning, Policy Gradients, Actor-Critic Methods, Artificial Curiosity

Topics in Artificial Intelligence and Machine Learning
Statistical Methods, Kernel Methods, Information Theoretic Learning, Ethics of AI, Conscious AI

BIO-INSPIRED COMPUTING

Brain-Inspired Computing
Cognitive Models, Self-organization, Spiking Neural Networks, Hybrid Neural-Symbolic Architectures, Reservoir Computing, Neuromorphic Computing

Cognitive and Theoretical/Computational Neuroscience
Brain Informatics, Neural Dynamics, Neural Control and Planning, Cognitive Models, Biophysical models, Learning algorithms

APPLICATIONS

Human-Computer Interaction, Biosignal Processing, Medicine and Physiology, Speech and Language Processing, Computer Vision, Robotics, General Applications of Machine Learning, Climate and Environment

SPECIAL SESSION: AI IN DRUG DISCOVERY

Big Data and advanced machine learning in chemistry, eXplainable AI (XAI) in chemistry, Chemoinformatics, Generative Models in chemistry


Further Workshops and Special Sessions will be announced

CALL FOR PAPERS
All scientific communications presented at ICANN 2024 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications:
- oral communications (15'+5')
- poster communications.

Authors willing to present original contributions in either oral or poster category may submit:
- A full paper of maximum 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI.
- An extended abstract of maximum 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing.

In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the program and is totally independent of the category of submission.

IMPORTANT DATES
- Deadline for special sessions and workshop proposals: Febuary 1, 2024
- Opening for submissions: February 15, 2024
- Deadline for full paper submission: March 15, 2024
- Notication of acceptance: May 20, 2024

ORGANIZATION
General Chairs
Jürgen Schmidhuber, IDSIA & KAUST, Switzerland
Igor Tetko, HGMU/AIDD, Switzerland

Local Organizing Chairs
Andrea Rizzoli, IDSIA, Switzerland
Michael Wand, IDSIA, Switzerland

Honorary Chairs
Stefan Wermter, University of Hamburg, Germany

Communication Chairs
Sebastian Otte, University of Lübeck, Germany
Kristína Malinovská, Comenius University Bratislava, Slovak Republic
 

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