Search Results for author: Evgeny M. Mirkes

Found 13 papers, 4 papers with code

Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees

no code implementations31 Jan 2024 Ivan Y. Tyukin, Tatiana Tyukina, Daniel van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope Allison

A key technical focus of the work is in providing performance guarantees for these new AI correctors through bounds on the probabilities of incorrect decisions.

An Informational Space Based Semantic Analysis for Scientific Texts

no code implementations31 May 2022 Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes

This paper introduces computational methods for semantic analysis and the quantifying the meaning of short scientific texts.

Common Sense Reasoning

Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation

no code implementations30 Mar 2022 Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Zinovyev, Ivan Y. Tyukin

Recent work by Mellor et al (2021) showed that there may exist correlations between the accuracies of trained networks and the values of some easily computable measures defined on randomly initialised networks which may enable to search tens of thousands of neural architectures without training.

Neural Architecture Search

Scikit-dimension: a Python package for intrinsic dimension estimation

1 code implementation6 Sep 2021 Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Zinovyev

Dealing with uncertainty in applications of machine learning to real-life data critically depends on the knowledge of intrinsic dimensionality (ID).


Learning from scarce information: using synthetic data to classify Roman fine ware pottery

no code implementations3 Jul 2021 Santos J. Núñez Jareño, Daniël P. van Helden, Evgeny M. Mirkes, Ivan Y. Tyukin, Penelope M. Allison

To address the challenge we propose to use a transfer learning approach whereby the model is first trained on a synthetic dataset replicating features of the original objects.

Transfer Learning

Pruning coupled with learning, ensembles of minimal neural networks, and future of XAI

no code implementations13 May 2020 Alexander N. Gorban, Evgeny M. Mirkes

This principle is expected to work both for artificial NN and for selection and modification of important synaptic contacts in brain.

Explainable Artificial Intelligence (XAI) Face Recognition +1

Fractional norms and quasinorms do not help to overcome the curse of dimensionality

no code implementations29 Apr 2020 Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban

The curse of dimensionality causes the well-known and widely discussed problems for machine learning methods.

General Classification

Informational Space of Meaning for Scientific Texts

no code implementations28 Apr 2020 Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban

The LSC is a scientific corpus of 1, 673, 350 abstracts and the LScDC is a scientific dictionary which words are extracted from the LSC.

LScDC-new large scientific dictionary

1 code implementation14 Dec 2019 Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban

In this paper, we present a scientific corpus of abstracts of academic papers in English -- Leicester Scientific Corpus (LSC).

Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph

2 code implementations20 Apr 2018 Luca Albergante, Evgeny M. Mirkes, Huidong Chen, Alexis Martin, Louis Faure, Emmanuel Barillot, Luca Pinello, Alexander N. Gorban, Andrei Zinovyev

Large datasets represented by multidimensional data point clouds often possess non-trivial distributions with branching trajectories and excluded regions, with the recent single-cell transcriptomic studies of developing embryo being notable examples.


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