Mikhail Burtsev, Михаил Бурцев

About Mikhail Burtsev, Михаил Бурцев

Mikhail Burtsev, Михаил Бурцев, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at Moscow Institute of Physics and Technology, specializes in the field of Open-ended adaptation (evolution, learning and beyound).

His recent articles reflect a diverse array of research interests and contributions to the field:

GENA-Web-GENomic Annotations Web Inference using DNA language models

Recurrent memory augmentation of GENA-LM improves performance on long DNA sequence tasks

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition

Hybrid uncertainty quantification for selective text classification in ambiguous tasks

DeepPavlov dream: platform for building generative AI assistants

Monolingual and cross-lingual knowledge transfer for topic classification

Uncertainty Guided Global Memory Improves Multi-Hop Question Answering

Mikhail Burtsev, Михаил Бурцев Information

University

Position

(Moscow Institute of Physics and Technology)

Citations(all)

1684

Citations(since 2020)

1352

Cited By

681

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

32

i10Index(since 2020)

27

Email

University Profile Page

Moscow Institute of Physics and Technology

Google Scholar

View Google Scholar Profile

Mikhail Burtsev, Михаил Бурцев Skills & Research Interests

Open-ended adaptation (evolution

learning and beyound)

Top articles of Mikhail Burtsev, Михаил Бурцев

Title

Journal

Author(s)

Publication Date

GENA-Web-GENomic Annotations Web Inference using DNA language models

bioRxiv

Alexey Shmelev

Maxim Petrov

Dmitry Penzar

Nikolay Akhmetyanov

Maksim Tavritskiy

...

2024

Recurrent memory augmentation of GENA-LM improves performance on long DNA sequence tasks

Yuri Kuratov

Aleksei Shmelev

Veniamin Fishman

Olga Kardymon

Mikhail Burtsev

2024

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory

Proceedings of the AAAI Conference on Artificial Intelligence

Aydar Bulatov

Yuri Kuratov

Yermek Kapushev

Mikhail Burtsev

2024/3/24

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition

Julia Kiseleva

Alexey Skrynnik

Artem Zholus

Shrestha Mohanty

Negar Arabzadeh

...

2023/8/31

Hybrid uncertainty quantification for selective text classification in ambiguous tasks

Artem Vazhentsev

Gleb Kuzmin

Akim Tsvigun

Alexander Panchenko

Maxim Panov

...

2023/7

DeepPavlov dream: platform for building generative AI assistants

Diliara Zharikova

Daniel Kornev

Fedor Ignatov

Maxim Talimanchuk

Dmitry Evseev

...

2023/7

Monolingual and cross-lingual knowledge transfer for topic classification

arXiv preprint arXiv:2306.07797

Dmitry Karpov

Mikhail Burtsev

2023/6/13

Uncertainty Guided Global Memory Improves Multi-Hop Question Answering

Alsu Sagirova

Mikhail Burtsev

2023/12

GENA-LM: A Family of Open-Source Foundational DNA Language Models for Long Sequences

bioRxiv

Veniamin Fishman

Yuri Kuratov

Maxim Petrov

Aleksei Shmelev

Denis Shepelin

...

2023/6/13

Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information

Alla Chepurova

Aydar Bulatov

Yuri Kuratov

Mikhail Burtsev

2023/12

Active learning for abstractive text summarization

arXiv preprint arXiv:2301.03252

Akim Tsvigun

Ivan Lysenko

Danila Sedashov

Ivan Lazichny

Eldar Damirov

...

2023/1/9

Plasticity facilitates rapid evolution

bioRxiv

Mikhail Burtsev

Konstantin Anokhin

Patrick Bateson

2022/5/4

Automatic Generation of Conversational Skills from Dialog Datasets

Denis Kapelyushnik

Dilyara Baymurzina

Denis Kuznetsov

Mikhail Burtsev

2022/10/17

Recurrent Memory Transformer

Advances in Neural Information Processing Systems, 2022

Aydar Bulatov

Yuri Kuratov

Mikhail S Burtsev

2022/7/14

Uncertainty estimation of transformer predictions for misclassification detection

Artem Vazhentsev

Gleb Kuzmin

Artem Shelmanov

Akim Tsvigun

Evgenii Tsymbalov

...

2022/5

Complexity of symbolic representation in working memory of Transformer correlates with the complexity of a task

Cognitive Systems Research

Alsu Sagirova

Mikhail Burtsev

2022/9/1

Collecting interactive multi-modal datasets for grounded language understanding

InterNLP workshop at NeurIPS 2022

Shrestha Mohanty

Negar Arabzadeh

Milagro Teruel

Yuxuan Sun

Artem Zholus

...

2022/11/12

A review of neural architecture search

Dilyara Baymurzina

Eugene Golikov

Mikhail Burtsev

2022/2/14

Attention understands semantic relations

Anastasia Chizhikova

Sanzhar Murzakhmetov

Oleg Serikov

Tatiana Shavrina

Mikhail Burtsev

2022/6

Learning to solve voxel building embodied tasks from pixels and natural language instructions

arXiv preprint arXiv:2211.00688

Alexey Skrynnik

Zoya Volovikova

Marc-Alexandre Côté

Anton Voronov

Artem Zholus

...

2022/11/1

See List of Professors in Mikhail Burtsev, Михаил Бурцев University(Moscow Institute of Physics and Technology)