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.<\/p>\n\n\n\n
Theory and Foundations of Neural Networks Brain-Inspired Computing Human-Computer Interaction Workshops:<\/strong> For details on all follow to Workshops and Special Sessions<\/a><\/p>\n\n\n\n <\/p>\n","protected":false},"excerpt":{"rendered":" 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 NetworksNN Convergence and … Continue reading “Conference topics”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1022","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/e-nns.org\/icann2024\/wp-json\/wp\/v2\/pages\/1022","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/e-nns.org\/icann2024\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/e-nns.org\/icann2024\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/e-nns.org\/icann2024\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/e-nns.org\/icann2024\/wp-json\/wp\/v2\/comments?post=1022"}],"version-history":[{"count":13,"href":"https:\/\/e-nns.org\/icann2024\/wp-json\/wp\/v2\/pages\/1022\/revisions"}],"predecessor-version":[{"id":3261,"href":"https:\/\/e-nns.org\/icann2024\/wp-json\/wp\/v2\/pages\/1022\/revisions\/3261"}],"wp:attachment":[{"href":"https:\/\/e-nns.org\/icann2024\/wp-json\/wp\/v2\/media?parent=1022"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
<\/strong>NN Convergence and Generalization, Loss Landscape Analysis
Novel Neural Network Architectures
<\/strong>Innovation in Recurrent and Transformer Architectures, Dynamical Models, Physically Informed NNs, Novel Learning Algorithms
Topics in Neural Networks
<\/strong>Generative Networks, Adaptation and Transfer Learning, Zero-Shot Learning, Lifelong learning, Knowledge Distillation, Representation Learning, Self-Supervised Learning, Contrastive Learning
Large Language Models<\/strong>
Innovation in Large Language Models
Explainable AI
<\/strong>Local and Global Explanations, Feature Attribution, Saliency Methods, Circuits, Counterfactuals
Graph Methods, Graph Neural Networks, and Clustering
<\/strong>Bayesian Networks, Graph neural networks
Reinforcement Learning
<\/strong>Deep Reinforcement Learning, Policy Gradients, Actor-Critic Methods, Artificial Curiosity
Topics in Artificial Intelligence and Machine Learning
<\/strong>Statistical Methods, Kernel Methods, Information Theoretic Learning, Ethics of AI, Conscious AI<\/p>\n\n\n\nBio-inspired Computing<\/strong><\/h4>\n\n\n\n
<\/strong>Cognitive Models, Self-organization, Spiking Neural Networks, Hybrid Neural-Symbolic Architectures, Reservoir Computing, Neuromorphic Computing
Cognitive and Theoretical\/Computational Neuroscience
<\/strong>Brain Informatics, Neural Dynamics, Neural Control and Planning, Cognitive Models, Biophysical models, Learning algorithms<\/p>\n\n\n\nApplications<\/h4>\n\n\n\n
Biosignal Processing, Medicine and Physiology
Speech and Language Processing
Computer Vision
Robotics
General Applications of Machine Learning
Climate and Environment<\/strong><\/p>\n\n\n\nWOrkshops and Special SESSIONS<\/h4>\n\n\n\n
AI in Drug Discovery<\/a>
Explainable AI in Human-Robot Interaction<\/a>
Deep Learning for Neuro-heuristic Brain Analysis<\/a>
Reservoir Computing<\/a>
Special Sessions:<\/strong>
Spiking Neural Networks and Neuromorphic Computing<\/a>
Accuracy, Stability, and Robustness in Deep Neural Networks<\/a>
Antifragile dynamical systems – beyond robustness, resilience, and adaptiveness<\/a>
Special Session on Neurorobotics<\/a>
Tutorials:<\/strong>
FEDn – A scalable federated machine learning framework for cross-device and cross-silo environments<\/a><\/p>\n\n\n\n