4 papers
Evaluating the Applicability of LLM Inference Optimizations on Apple Silicon
Kyrylo Yemets, Andrii Yaroshevych, Victor Muryn +5
Apple Silicon is among the most widely used platforms for local LLM inference, yet nearly all inference optimizations are designed and validated on server-class NVIDIA GPUs under b…
Information Geometry of Message Passing
Mykola Lukashchuk, Kyrylo Yemets, Alex Ledbetter +1
We show that the natural-gradient stationary condition of variational inference has an edge-local form on a Forney-style factor graph. We start from the Bethe free energy and const…
Composing Non-Conjugate Factor Graphs with Closed-Form Variational Inference
Mykola Lukashchuk, Kyrylo Yemets, Wouter M. Kouw +4
Stacking probabilistic building blocks into deeper architectures typically breaks closed-form inference. We show that closed-form inference can be preserved. We identify five facto…
GateTS: Versatile and Efficient Forecasting via Attention-Inspired routed Mixture-of-Experts
Kyrylo Yemets, Mykola Lukashchuk, Ivan Izonin
Accurate univariate forecasting remains a pressing need in real-world systems, such as energy markets, hydrology, retail demand, and IoT monitoring, where signals are often intermi…