2 papers
cs.MA2025
PERELMAN: Pipeline for scientific literature meta-analysis. Technical report
Daniil Sherki, Daniil Merkulov, Alexandra Savina +1
We present PERELMAN (PipEline foR sciEntific Literature Meta-ANalysis), an agentic framework designed to extract specific information from a large corpus of scientific articles to…
cs.LG2025
Bayesian Inverse Problems Meet Flow Matching: Efficient and Flexible Inference via Transformers
Daniil Sherki, Ivan Oseledets, Ekaterina Muravleva
The efficient resolution of Bayesian inverse problems remains challenging due to the high computational cost of traditional sampling methods. In this paper, we propose a novel fram…