Browsing: ML News
Graph neural networks (GNNs) have emerged as powerful tools for capturing complex interactions in real-world entities and finding applications across various business domains. These networks excel…
Sequential Propagation of Chaos (SPoC) is a recent technique for solving mean-field stochastic differential equations (SDEs) and their associated nonlinear Fokker-Planck equations. These equations describe the…
Large Language Models (LLMs) like GPT-4, Gemini, and Llama have revolutionized textual dataset augmentation, offering new possibilities for enhancing small downstream classifiers. However, this approach faces…
Gregor Betz from Logikon AI, KIT introduces Guided Reasoning. A system with more than one agent is a Guided Reasoning system if one agent, called the…
Machine learning has revolutionized various fields, offering powerful tools for data analysis and predictive modeling. Central to these models’ success is hyperparameter optimization (HPO), where the…
Hypergraphs, which extend traditional graphs by allowing hyperedges to connect multiple nodes, offer a richer representation of complex relationships in fields like social networks, bioinformatics, and…
Understanding social interactions in complex real-world settings requires deep mental reasoning to infer the underlying mental states driving these interactions, known as the Theory of Mind…
The success of ANNs stems from mimicking simplified brain structures. Neuroscience reveals that neurons interact through various connectivity patterns, known as circuit motifs, which are crucial…
Large Language Models (LLMs) have gained significant prominence in recent years, driving the need for efficient GPU utilization in machine learning tasks. However, researchers face a…
Graph learning focuses on developing advanced models capable of analyzing and processing relational data structured as graphs. This field is essential in various domains, including social…