Synthical | Articles by Maxim Panov

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Articles by Maxim Panov

LM-Polygraph: Uncertainty Estimation for Language Models

13 November 2023 by Ekaterina Fadeeva and others

Computation and Language, Machine Learning

Conformal Prediction for Federated Uncertainty Quantification Under Label Shift

24 October 2023 by Vincent Plassier and others

Machine Learning

Selective Nonparametric Regression via Testing

28 September 2023 by Fedor Noskov and others

Machine Learning

Optimal Estimation in Mixed-Membership Stochastic Block Models

26 July 2023 by Fedor Noskov and Maxim Panov

Machine Learning, Social and Information Networks

Rapid and effective method of laser metallization of dielectric materials using deep eutectic solvents with copper acetate

28 April 2023 by Evgeniia Khairullina and others

Materials Science, Thin Films

Scalable Batch Acquisition for Deep Bayesian Active Learning

15 February 2023 by Aleksandr Rubashevskii and others

Machine Learning

Active Learning for Abstractive Text Summarization

9 January 2023 by Akim Tsvigun and others

Computation and Language

Nonparametric Uncertainty Quantification for Single Deterministic Neural Network

27 October 2022 by Nikita Kotelevskii and others

Machine Learning

ScaleFace: Uncertainty-aware Deep Metric Learning

12 September 2022 by Roman Kail and others

Computer Vision and Pattern Recognition, Artificial Intelligence

Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective

21 June 2022 by Gleb Bazhenov and others

Machine Learning

Laser-assisted surface activation for the fabrication of flexible non-enzymatic Cu-based sensors

10 May 2022 by Evgeniia Khairullina and others

Materials Science, Analytical Chemistry

Scalable computation of prediction intervals for neural networks via matrix sketching

6 May 2022 by Alexander Fishkov and Maxim Panov

Machine Learning

Embedded Ensembles: Infinite Width Limit and Operating Regimes

24 February 2022 by Maksim Velikanov and others

Machine Learning

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MCMC: Sampling through Exploration Exploitation

21 December 2021 by Evgeny Lagutin and others

Machine Learning

Assigning Topics to Documents by Successive Projections

8 July 2021 by Olga Klopp and others

Statistics Theory

Monte Carlo Variational Auto-Encoders

30 June 2021 by Achille Thin and others

Machine Learning

Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees

29 March 2021 by Achille Thin and others

Computation, Machine Learning

EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data

30 September 2020 by Ivan Sukharev and others

Machine Learning

Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling

26 June 2020 by Evgenii Tsymbalov and others

Machine Learning

MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference

27 February 2020 by Achille Thin and others

Machine Learning, Computation

NCVis: Noise Contrastive Approach for Scalable Visualization

30 January 2020 by Aleksandr Artemenkov and Maxim Panov

Machine Learning

Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data

23 January 2020 by Valentina Shumovskaia and others

Machine Learning

Accuracy of Gaussian approximation in nonparametric Bernstein -- von Mises Theorem

15 October 2019 by Vladimir Spokoiny and Maxim Panov

Statistics Theory

Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension

12 April 2019 by Marina Gomtsyan and others

Machine Learning, Methodology

Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning

27 February 2019 by Evgenii Tsymbalov and others

Machine Learning

Constructing Graph Node Embeddings via Discrimination of Similarity Distributions

6 October 2018 by Stanislav Tsepa and Maxim Panov

Machine Learning, Social and Information Networks

Sparse Group Inductive Matrix Completion

6 October 2018 by Ivan Nazarov and others

Machine Learning

Dropout-based Active Learning for Regression

5 July 2018 by Evgenii Tsymbalov and others

Machine Learning

Simultaneous Matrix Diagonalization for Structural Brain Networks Classification

14 October 2017 by Nikita Mokrov and others

Machine Learning

Consistent Estimation of Mixed Memberships with Successive Projections

14 October 2017 by Maxim Panov and others

Statistics Theory