Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Şahin, M. Emre"'
Publikováno v:
Lecture Notes in Computer Science, vol 14077 (2023)
In this paper, we propose an approach for an application of Bayesian optimization using Sequential Monte Carlo (SMC) and concepts from the statistical physics of classical systems. Our method leverages the power of modern machine learning libraries s
Externí odkaz:
http://arxiv.org/abs/2409.03094
Autor:
Doga, Hakan, Sahin, M. Emre, Bettencourt-Silva, Joao, Pham, Anh, Kim, Eunyoung, Andress, Alan, Saxena, Sudhir, Bose, Aritra, Parida, Laxmi, Robertus, Jan Lukas, Kawaguchi, Hideaki, Soliman, Radwa, Blankenberg, Daniel
Clinical trials are pivotal in the drug discovery process to determine the safety and efficacy of a drug candidate. The high failure rates of these trials are attributed to deficiencies in clinical model development and protocol design. Improvements
Externí odkaz:
http://arxiv.org/abs/2404.13113
Autor:
Sahin, M. Emre, Symons, Benjamin C. B., Pati, Pushpak, Minhas, Fayyaz, Millar, Declan, Gabrani, Maria, Mensa, Stefano, Robertus, Jan Lukas
Publikováno v:
Quantum 8, 1502 (2024)
Quantum machine learning with quantum kernels for classification problems is a growing area of research. Recently, quantum kernel alignment techniques that parameterise the kernel have been developed, allowing the kernel to be trained and therefore a
Externí odkaz:
http://arxiv.org/abs/2401.02879
Autor:
Doga, Hakan, Bose, Aritra, Sahin, M. Emre, Bettencourt-Silva, Joao, Pham, Anh, Kim, Eunyoung, Andress, Alan, Saxena, Sudhir, Parida, Laxmi, Robertus, Jan Lukas, Kawaguchi, Hideaki, Soliman, Radwa, Blankenberg, Daniel
Publikováno v:
In Trends in Pharmacological Sciences October 2024 45(10):880-891
