Alexey Zaytsev

Orcid: 0000-0002-1653-0204

Affiliations:
  • Skolkovo Institute of Science and Technology, Moscow, Russia


According to our database1, Alexey Zaytsev authored at least 54 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Diversity-Aware Ensembling of Language Models Based on Topological Data Analysis.
CoRR, 2024

From Variability to Stability: Advancing RecSys Benchmarking Practices.
CoRR, 2024

2023
Noncontrastive Representation Learning for Intervals From Well Logs.
IEEE Geosci. Remote. Sens. Lett., 2023

Challenges in data-based geospatial modeling for environmental research and practice.
CoRR, 2023

Machine Translation Models Stand Strong in the Face of Adversarial Attacks.
CoRR, 2023

Long-term drought prediction using deep neural networks based on geospatial weather data.
CoRR, 2023

Correcting sampling biases via importance reweighting for spatial modeling.
CoRR, 2023

Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices.
CoRR, 2023

Hiding Backdoors within Event Sequence Data via Poisoning Attacks.
CoRR, 2023

Portfolio Selection via Topological Data Analysis.
CoRR, 2023

Label Attention Network for sequential multi-label classification: you were looking at a wrong self-attention.
CoRR, 2023

Continuous-time convolutions model of event sequences.
CoRR, 2023

Uncertainty estimation for time series forecasting via Gaussian process regression surrogates.
CoRR, 2023

Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust.
Proceedings of the IEEE International Conference on Data Mining, 2023

ScaleFace: Uncertainty-aware Deep Metric Learning.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Recurrent Convolutional Neural Networks Help to Predict Location of Earthquakes.
IEEE Geosci. Remote. Sens. Lett., 2022

Unsupervised construction of representations for oil wells via Transformers.
CoRR, 2022

Non-contrastive approaches to similarity learning: positive examples are all you need.
CoRR, 2022

Self-supervised similarity models based on well-logging data.
CoRR, 2022

QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise.
CoRR, 2022

Predicting spatial distribution of Palmer Drought Severity Index.
CoRR, 2022

Effective training-time stacking for ensembling of deep neural networks.
CoRR, 2022

Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective.
CoRR, 2022

Usage of specific attention improves change point detection.
CoRR, 2022

Deep learning model solves change point detection for multiple change types.
CoRR, 2022

Similarity learning for wells based on logging data.
CoRR, 2022

A Differentiable Language Model Adversarial Attack on Text Classifiers.
IEEE Access, 2022

Sequence Embeddings Help Detect Insurance Fraud.
IEEE Access, 2022

InDiD: Instant Disorder Detection via a Principled Neural Network.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Embedded Ensembles: infinite width limit and operating regimes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Transfer learning for ensembles: reducing computation time and keeping the diversity.
Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

Effective Training-Time Stacking for Ensembling of Deep Neural Networks.
Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

2021
A Differentiable Language Model Adversarial Attack on Text Classifiers.
CoRR, 2021

Principled change point detection via representation learning.
CoRR, 2021

COHORTNEY: Deep Clustering for Heterogeneous Event Sequences.
CoRR, 2021

Adversarial Attacks on Deep Models for Financial Transaction Records.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Bank transactions embeddings help to uncover current macroeconomics.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling.
IEEE Geosci. Remote. Sens. Lett., 2020

Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers.
CoRR, 2020

Unsupervised Anomaly Detection for Discrete Sequence Healthcare Data.
Proceedings of the Analysis of Images, Social Networks and Texts, 2020

Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World.
Proceedings of the Analysis of Images, Social Networks and Texts, 2020

2019
Sequence embeddings help to identify fraudulent cases in healthcare insurance.
CoRR, 2019

Failures detection at directional drilling using real-time analogues search.
CoRR, 2019

Usage of multiple RTL features for Earthquake prediction.
CoRR, 2019

Multifidelity Bayesian Optimization for Binomial Output.
CoRR, 2019

Usage of Multiple RTL Features for Earthquakes Prediction.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

2018
Data-driven model for the identification of the rock type at a drilling bit.
CoRR, 2018

Interpolation error of Gaussian process regression for misspecified case.
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

2017
Large scale variable fidelity surrogate modeling.
Ann. Math. Artif. Intell., 2017

Deep Ensembles for Imbalanced Classification.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Minimax Approach to Variable Fidelity Data Interpolation.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Variable Fidelity Regression Using Low Fidelity Function Blackbox and Sparsification.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

2013
Properties of the posterior distribution of a regression model based on Gaussian random fields.
Autom. Remote. Control., 2013


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