Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zaballa, Vincent D."'
Autor:
Zaballa, Vincent D., Hui, Elliot E.
Recent advances in generative deep learning have transformed small molecule design, but most methods lack biological systems context, focusing narrowly on specific protein pockets. We introduce a non-differentiable diffusion guidance method that inte
Externí odkaz:
http://arxiv.org/abs/2410.10108
Autor:
Zaballa, Vincent D., Hui, Elliot E.
Systems biology models are useful models of complex biological systems that may require a large amount of experimental data to fit each model's parameters or to approximate a likelihood function. These models range from a few to thousands of paramete
Externí odkaz:
http://arxiv.org/abs/2407.08612
Autor:
Zaballa, Vincent D., Hui, Elliot E.
Systems biology relies on mathematical models that often involve complex and intractable likelihood functions, posing challenges for efficient inference and model selection. Generative models, such as normalizing flows, have shown remarkable ability
Externí odkaz:
http://arxiv.org/abs/2312.02391
Autor:
Zaballa, Vincent D., Hui, Elliot E.
Simulation-based inference (SBI) methods tackle complex scientific models with challenging inverse problems. However, SBI models often face a significant hurdle due to their non-differentiable nature, which hampers the use of gradient-based optimizat
Externí odkaz:
http://arxiv.org/abs/2306.15731
Autor:
Zaballa, Vincent D., Hui, Elliot E.
Systems biology seeks to create math models of biological systems to reduce inherent biological complexity and provide predictions for applications such as therapeutic development. However, it remains a challenge to determine which math model is corr
Externí odkaz:
http://arxiv.org/abs/2208.02344
Autor:
Zaballa VD; Department of Biomedical Engineering, University of California,Irvine, United States., Hui EE; Department of Biomedical Engineering, University of California,Irvine, United States.
Publikováno v:
ArXiv [ArXiv] 2024 Jul 11. Date of Electronic Publication: 2024 Jul 11.
Autor:
Zaballa VD; Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA., Hui EE; Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA.
Publikováno v:
ArXiv [ArXiv] 2023 Jun 27. Date of Electronic Publication: 2023 Jun 27.