Generative Models for Fast Calorimeter Simulation.LHCb case. - Viktoria Chekalina; Elena Orlova; Fedor Ratnikov; Dmitry Ulyanov; Andrey Ustyuzhanin; Egor Zakharov (CoRR, 2018)

Retrieving Comparative Arguments using Deep Pre-trained Language Models and NLU. - Viktoria Chekalina; Alexander Panchenko (CLEF (Working Notes), 2020)

Retrieving Comparative Arguments using Ensemble Methods and BERT. - Viktoria Chekalina; Alexander Panchenko (CLEF (Working Notes), 2021)

Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language. - Viktoria Chekalina; Alexander Bondarenko 001; Chris Biemann; Meriem Beloucif; Varvara Logacheva; Alexander Panchenko (EACL (System Demonstrations), 2021)

MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering. - Viktoria Chekalina; Anton Razzhigaev; Albert Sayapin; Evgeny Frolov; Alexander Panchenko (ACL (student), 2022)

Retrieving Comparative Arguments using Deep Language Models. - Viktoria Chekalina; Alexander Panchenko (CLEF (Working Notes), 2022)

MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering. - Viktoria Chekalina; Anton Razzhigaev; Albert Sayapin; Alexander Panchenko (CoRR, 2022)

Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information. - Sergey Pletenev; Daniil Moskovskiy; Viktoria Chekalina; Mikhail Seleznyov; Sergey Zagoruyko; Alexander Panchenko (AIST, 2023)

Efficient GPT Model Pre-training using Tensor Train Matrix Representation. - Viktoria Chekalina; Georgiy Novikov; Julia Gusak; Alexander Panchenko; Ivan V. Oseledets (PACLIC, 2023)

A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers. - Sergey Pletenev; Viktoria Chekalina; Daniil Moskovskiy; Mikhail Seleznev; Sergey Zagoruyko; Alexander Panchenko (PACLIC, 2023)

Retrieving Comparative Arguments using Ensemble Methods and Neural Information Retrieval. - Viktoria Chekalina; Alexander Panchenko (CoRR, 2023)

Efficient GPT Model Pre-training using Tensor Train Matrix Representation. - Viktoria Chekalina; Georgii S. Novikov; Julia Gusak; Ivan V. Oseledets; Alexander Panchenko (CoRR, 2023)

SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. - Viktoria Chekalina; Anna Rudenko; Gleb Mezentsev; Aleksandr Mikhalev; Alexander Panchenko; Ivan V. Oseledets (EMNLP, 2024)

SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. - Viktoria Chekalina; Anna Rudenko; Gleb Mezentsev; Alexander Mikhalev; Alexander Panchenko; Ivan V. Oseledets (CoRR, 2024)