Diffuse Everything is a general framework for building multimodal diffusion models for data of mixed modality, with a minimum need for tokenizers/VAEs/extra encoders. Diffuse Everything is built on ...
The peculiarities of classical Greece make empirical theories of political revolution much easier to imagine than in, say, the Persian Empire, which was a hereditary monarchy for pretty much its ...
Abstract: This paper investigates Markov decision processes (MDPs) with intermittent state information. We consider a scenario where the controller perceives the state of the process via an unreliable ...
To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating Markov ...
The α7 nicotinic acetylcholine receptor plays a central role in higher brain functions and is implicated in many neurological disorders. Yet, the therapeutic potential of nicotinic agonists targeting ...
The snippet below shows a basic example of using the package to generate samples from a normal target distribution with random scales. Adapters are used to tune the proposal scale to achieve a target ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Markov state models (MSM) are a popular statistical method for analyzing the ...
Markov chains are stochastic models that predict future events based solely on the current state. They are referred to as 'Memoryless' due to their independence from previous states. Applications of ...
The rapid development of wind energy has brought a lot of uncertainty to the power system. The accurate ultra-short-term wind power prediction is the key issue to ensure the stable and economical ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results