Zobrazeno 1 - 10
of 811
pro vyhledávání: '"Barrett, Thomas"'
Autor:
Beck, Jacob, Surana, Shikha, McAuliffe, Manus, Bent, Oliver, Barrett, Thomas D., Luis, Juan Jose Garau, Duckworth, Paul
Predicting the biophysical and functional properties of proteins is essential for in silico protein design. Machine learning has emerged as a promising technique for such prediction tasks. However, the relative scarcity of in vitro annotations means
Externí odkaz:
http://arxiv.org/abs/2410.08355
Autor:
Chalumeau, Felix, Shabe, Refiloe, De Nicola, Noah, Pretorius, Arnu, Barrett, Thomas D., Grinsztajn, Nathan
Combinatorial Optimization is crucial to numerous real-world applications, yet still presents challenges due to its (NP-)hard nature. Amongst existing approaches, heuristics often offer the best trade-off between quality and scalability, making them
Externí odkaz:
http://arxiv.org/abs/2406.16424
Despite being pivotal to the habitability of our planet, the process by which Earth gained its present-day hydrogen budget is unclear. Due to their isotopic similarity to terrestrial rocks across a range of elements, enstatite chondrites (ECs) are th
Externí odkaz:
http://arxiv.org/abs/2406.13637
Autor:
Gaujac, Benoit, Donà, Jérémie, Copoiu, Liviu, Atkinson, Timothy, Pierrot, Thomas, Barrett, Thomas D.
Representation learning and \emph{de novo} generation of proteins are pivotal computational biology tasks. Whilst natural language processing (NLP) techniques have proven highly effective for protein sequence modelling, structure modelling presents a
Externí odkaz:
http://arxiv.org/abs/2405.15840
Recent advancements in large language models (LLMs) underscore their potential for responding to inquiries in various domains. However, ensuring that generative agents provide accurate and reliable answers remains an ongoing challenge. In this contex
Externí odkaz:
http://arxiv.org/abs/2311.17371
Autor:
Chalumeau, Felix, Surana, Shikha, Bonnet, Clement, Grinsztajn, Nathan, Pretorius, Arnu, Laterre, Alexandre, Barrett, Thomas D.
Combinatorial Optimization underpins many real-world applications and yet, designing performant algorithms to solve these complex, typically NP-hard, problems remains a significant research challenge. Reinforcement Learning (RL) provides a versatile
Externí odkaz:
http://arxiv.org/abs/2311.13569
Photonic qubits play an instrumental role in the development of advanced quantum technologies, including quantum networking, boson sampling and measurement based quantum computing. A promising framework for the deterministic production of indistingui
Externí odkaz:
http://arxiv.org/abs/2305.04899
The measurement of the bandgap in quasi-one dimensional materials such as carbon nanotubes is challenging due to its dimensionality. In this work, we measure the electronic bandgap of networks of polymer-wrapped semiconducting single-walled carbon na
Externí odkaz:
http://arxiv.org/abs/2212.05983
Photovoltaics has two main processes: Optical absorption and power conversion. In photosynthesis, the two equivalent processes are optical absorption and chemical conversion. Whereas in the latter, the two processes are carried out by distinct protei
Externí odkaz:
http://arxiv.org/abs/2210.07986