1 citations · 1 across the 4 of their papers we have counts for
4 papers
LLMTabBench: Evaluating LLMs on Binary Tabular Classification From Zero to Few Shots
Daria Grushina, Kseniia Kuvshinova, Alina Kostromina +3
Supervised classification on tabular data remains a central machine learning task, but its dependence on large labeled datasets limits its applicability in data-scarce settings. Fe…
Tsururu: A Python-based Time Series Forecasting Strategies Library
Alina Kostromina, Kseniia Kuvshinova, Aleksandr Yugay +2
While current time series research focuses on developing new models, crucial questions of selecting an optimal approach for training such models are underexplored. Tsururu, a Pytho…
Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize?
Kseniia Kuvshinova, Olga Tsymboi, Alina Kostromina +2
The industry is rich in cases when we are required to make forecasting for large amounts of time series at once. However, we might be in a situation where we can not afford to trai…
Sparse and Transferable Universal Singular Vectors Attack
Kseniia Kuvshinova, Olga Tsymboi, Ivan Oseledets
The research in the field of adversarial attacks and models' vulnerability is one of the fundamental directions in modern machine learning. Recent studies reveal the vulnerability…