8 citations · 8 across the 3 of their papers we have counts for
3 papers
Transferable knowledge graphs with executable learned operators for algorithm design
Camilo Chacón Sartori, José H. García, Andrei Voicu Tomut +1
Procedural knowledge in algorithm design is embedded in source code and rebuilt for each new domain. We introduce Generative Executable Algorithm Knowledge Graphs (GEAKG), a repres…
AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions
Stephen G. Dale, Nikita Kazeev, Alastair J. A. Price +65
Artificial intelligence and machine learning are reshaping how we approach scientific discovery, not by replacing established methods but by extending what researchers can probe, p…
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks
Andrei Tomut, Saeed S. Jahromi, Abhijoy Sarkar +15
Large Language Models (LLMs) such as ChatGPT and LlaMA are advancing rapidly in generative Artificial Intelligence (AI), but their immense size poses significant challenges, such a…