978 citations
- Universidade da CoruñaES8 papers
- Tsinghua UniversityCN3 papers
- Universidad de MálagaES2 papers
- Arcetri Astrophysical ObservatoryIT1 paper
- Beijing Academy of Quantum Information SciencesCN1 paper
- Beijing Academy of Social SciencesCN1 paper
- Center for Research in Molecular Medicine and Chronic DiseasesES1 paper
- Centro de AstrobiologíaES1 paper
- CitigroupUS1 paper
- Consellería de Cultura, Educación, Formación Profesional e UniversidadesES1 paper
- Dalhousie UniversityCA1 paper
- Fuzhou UniversityCN1 paper
18 papers
Curriculum reinforcement learning with measurable task representation learning
Yongyan Wen, Siyuan Li, Mingjian Fu +3
In curriculum reinforcement learning (CRL), an agent incrementally accumulates knowledge over a sequence of tasks (i.e., a curriculum), and the learning process is aimed at using t…
Detection of hot subdwarf binaries and sdB stars using machine learning methods and a large sample of Gaia XP spectra
M. Ambrosch, C. Viscasillas Vázquez, E. Solano +10
Hot subdwarfs (hot sds) are compact, evolved stars near the Extreme Horizontal Branch (EHB) and are key to understanding stellar evolution and the ultraviolet excess in galaxies. W…
Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution
Carlos Eiras-Franco, Anna Hedström, Marina M. -C. Höhne
Obtaining high-quality explanations of a model's output enables developers to identify and correct biases, align the system's behavior with human values, and ensure ethical complia…
Application of Tabular Transformer Architectures for Operating System Fingerprinting
Rubén Pérez-Jove, Cristian R. Munteanu, Alejandro Pazos +1
Operating System (OS) fingerprinting is essential for network management and cybersecurity, enabling accurate device identification based on network traffic analysis. Traditional r…
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI, Daya Guo, Dejian Yang +195
General reasoning represents a long-standing and formidable challenge in artificial intelligence. Recent breakthroughs, exemplified by large language models (LLMs) and chain-of-tho…
Prolegomena to a Post-Aesthetics of Artificial Imaginations
Philippe Boisnard
The acceleration of the use of generative artificial intelligences (AI), since 2015 and the turning point operated by Deepdream, tends to obscure a real analysis of what could be d…