3 citations · 7 across the 3 of their papers we have counts for
5 papers
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge
Julien Delile, Srayanta Mukherjee, Anton Van Pamel +1
Large language models (LLMs) are transforming the way information is retrieved with vast amounts of knowledge being summarized and presented via natural language conversations. Yet…
New drugs and stock market: how to predict pharma market reaction to clinical trial announcements
Semen Budennyy, Alexey Kazakov, Elizaveta Kovtun +1
Pharmaceutical companies operate in a strictly regulated and highly risky environment in which a single slip can lead to serious financial implications. Accordingly, the announceme…
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI
Semen Budennyy, Vladimir Lazarev, Nikita Zakharenko +9
The size and complexity of deep neural networks continue to grow exponentially, significantly increasing energy consumption for training and inference by these models. We introduce…
Kernel classification of connectomes based on earth mover's distance between graph spectra
Yulia Dodonova, Mikhail Belyaev, Anna Tkachev +2
In this paper, we tackle a problem of predicting phenotypes from structural connectomes. We propose that normalized Laplacian spectra can capture structural properties of brain net…
Learning Alternative Name Spellings
Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul
Name matching is a key component of systems for entity resolution or record linkage. Alternative spellings of the same names are a com- mon occurrence in many applications. We use…