ICANN 2024

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 Large Language Models Innovation in Large Language Models 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