Marco Bonizzato
@marcobon.bsky.social
Assistant Professor at Polytechnique Montréal, Université de Montréal & Mila - Québec AI Institute
SciNeurotech Lab
Neurotechnology - Movement neuroscience - Mathematical Optimization
SciNeurotech Lab
Neurotechnology - Movement neuroscience - Mathematical Optimization
📢 Two new postdoc positions! Both with outstanding salary. Require previous BCI work. Also open to strong PhD applications.
1.Human invasive online decoding in a clinical trial on Parkinson's with Alfonso Fasano at UHN
2. In rats, distributed neural interfaces/ closed-loop recording and stimulation
1.Human invasive online decoding in a clinical trial on Parkinson's with Alfonso Fasano at UHN
2. In rats, distributed neural interfaces/ closed-loop recording and stimulation
February 4, 2025 at 3:30 PM
📢 Two new postdoc positions! Both with outstanding salary. Require previous BCI work. Also open to strong PhD applications.
1.Human invasive online decoding in a clinical trial on Parkinson's with Alfonso Fasano at UHN
2. In rats, distributed neural interfaces/ closed-loop recording and stimulation
1.Human invasive online decoding in a clinical trial on Parkinson's with Alfonso Fasano at UHN
2. In rats, distributed neural interfaces/ closed-loop recording and stimulation
Here we show a new robust way to have expert and machine collaborate to find the best parameters in optimization.
If the expert is right: fast fine tuning, if the expert is wrong: the algorithm will figure and compensate
Captained by Rose Guay Hottin
www.sciencedirect.com/science/arti...
If the expert is right: fast fine tuning, if the expert is wrong: the algorithm will figure and compensate
Captained by Rose Guay Hottin
www.sciencedirect.com/science/arti...
Robust prior-biased acquisition function for human-in-the-loop Bayesian optimization
In diverse fields of application, Bayesian Optimization (BO) has been proposed to find the optimum of black-box functions, surpassing human-driven sea…
www.sciencedirect.com
January 31, 2025 at 3:01 PM
Here we show a new robust way to have expert and machine collaborate to find the best parameters in optimization.
If the expert is right: fast fine tuning, if the expert is wrong: the algorithm will figure and compensate
Captained by Rose Guay Hottin
www.sciencedirect.com/science/arti...
If the expert is right: fast fine tuning, if the expert is wrong: the algorithm will figure and compensate
Captained by Rose Guay Hottin
www.sciencedirect.com/science/arti...