“Compared with the kinetic Langevin sampling algorithm, the proposed algorithm exhibits a higher contraction rate in the asymptotic time regime.”

“The paper shows that the Ornstein-Uhlenbeck process can be transformed exactly into a stochastic process defined self-consistently in the comoving frame.”

“The paper derives an exact identity for overdamped Langevin dynamics that equates the total EP rate to the mutual-information rate.”

“The newly proposed mCCAdL thermostat achieves a substantial improvement in the numerical stability over the original CCAdL thermostat, while significantly outperforming popular alternative stochastic gradient methods in terms of the numerical accuracy for large-scale machine learning applications.”

“The paper claims an enhanced convergence rate of order $\mathcal{O}(h)$ in the $L^2$-Wasserstein distance, significantly improving the existing order-half convergence.”

“Our method uses geometry-driven path augmentation, guided by the geometry in the system's invariant density to reconstruct likely trajectories and infer the underlying dynamics without assuming specific parametric models.”

“N/A - Based on the provided information, no specific quotes are available.”

“The context provided is very limited; therefore, a key fact cannot be provided without knowing the specific contents of the paper.”

“The paper focuses on error analysis.”

“LangExtract is a library released by Google in July 2025 that uses LLMs for item extraction. A key feature is the ability to identify the location of extracted items within the original text.”

“We speak with Sakana AI, who are building nature-inspired methods that could fundamentally transform how we develop AI systems.”

“In our conversation, Mike walks us through why he chose to focus on the feature store aspects of the machine learning platform...”

“The article discusses Robert's article on pruning in NNs.”

“Robert Langer is a professor at MIT and one of the most cited researchers in history, specializing in biotechnology fields of drug delivery systems and tissue engineering.”

“Hear how use cases can strategically guide platform development, the evolving relationship between her team and Michelangelo (Uber’s ML Platform) and much more!”

“The article likely details the components and capabilities of Michelangelo.”

“Mike shares some great advice for organizations looking to get value out of machine learning.”

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“The article doesn't contain a direct quote, but it mentions the topics discussed: How ML & AI are being used in gaming, the importance of reinforcement learning, the intersection between AI and AR/VR, and the next steps in natural character interaction.”