FlowWM stochastic world modeling via flow matching in DINOv3 feature space, with the FuturePerception (Waymo) benchmark. - ...

Abstract: We study the use of large language models (LLMs) to integrate high-level knowledge in stochastic games using reinforcement learning with reward machines to encode non-Markovian and Markovian ...

Finbold AI predicted that Bitcoin is unlikely to continue its previous drop through July, but it remained conservative in its ...

In March 2021, a group of four researchers—a collaboration of linguists and computer scientists—published their now legendary ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: This article proposes a novel randomized neuro-fuzzy model called fuzzy stochastic configuration networks (F-SCNs), which integrates the Takagi–Sugeno (T–S) fuzzy inference system into SCNs ...

The Founder and Principal Researcher at Gazillion Labs is combining bounded stochastic price modeling, market microstructure, ...