Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...

The table itself was something of an accident that emerged from commonalities between classical machine-learning ... spectral graph theory, contrastive learning, dimensionality reduction, and ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

AI is embedded in frontline diagnostics and decision-making systems. Machine learning models, trained on clinical datasets, ...

They created a “periodic table” of over 20 classical machine-learning algorithms, showing how they are all connected through ...

Repo containing project files for "Advanced Statistical Learning for Complex Data" course taken during academic year 2023-2024 of PhD in DADS at Politecnico di Milano.

Cog is an open-source tool that lets you package machine learning models in a standard, production-ready container. You can deploy your packaged model to your own infrastructure, or to Replicate. 🤬️ ...

Abstract: In view of the practical value of open datasets of hyperspectral images (HSIs), HSI open-set classification ... semi-supervised graph constraint dual classifier network (SSGCDCN) that can ...

In a highly regulated area like financial services, generative AI tools can still go off the rails, says Keith Toney, president of Credit and Decision Management at Discover Financial Services.