Abstract: The dimension and the complexity of inference problems have dramatically increased in statistical signal processing. It thus becomes mandatory to design improved proposal schemes in ...
This study presents a valuable contribution by introducing a model-based, Bayesian method for inferring action potentials from calcium imaging data that directly quantifies uncertainty in spike timing ...
Stationarity and Convergence of the Metropolis-Hastings Algorithm: Insights into Theoretical Aspects
Abstract: Markov chain Monte Carlo (MCMC) is a versatile sampling approach that is useful in a wide range of estimation and simulation applications. Fundamentally, MCMC is a powerful general means of ...
In the early years of computational physics, starting during the Second World War, the discipline and its practitioners did not yet have a name. Iulia Georgescu tells the story of these forgotten ...
Large language models are powerful, but they can be slow—especially when generating thousands of tokens per request. For real-time applications - like Hiring Assistant, LinkedIn’s first AI agent for ...
Aromë Caffé and Patisserie is now officially ouvert at 10 Main Street in Hastings. Aromë features French pastries, gelato, and coffee. Aromë is the brainchild of Vera Gjelaj, who was an owner and ...
Networks are a simple yet powerful model for the intricate structure of complex systems, in which interactions between any pair of the system’s constituting elements can be directly interpreted as ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results