Radon-Nikodym approximation in application to image analysis. - Vladislav Gennadievich Malyshkin (CoRR, 2015)

Multiple-Instance Learning: Christoffel Function Approach to Distribution Regression Problem. - Vladislav Gennadievich Malyshkin (CoRR, 2015)

Norm-Free Radon-Nikodym Approach to Machine Learning. - Vladislav Gennadievich Malyshkin (CoRR, 2015)

Multiple-Instance Learning: Radon-Nikodym Approach to Distribution Regression Problem. - Vladislav Gennadievich Malyshkin (CoRR, 2015)

On The Radon-Nikodym Spectral Approach With Optimal Clustering. - Vladislav Gennadievich Malyshkin (CoRR, 2019)

Market Directional Information Derived From (Time, Execution Price, Shares Traded) Sequence of Transactions. On The Impact From The Future. - Vladislav Gennadievich Malyshkin; Mikhail Gennadievich Belov (CoRR, 2022)

On Machine Learning Knowledge Representation In The Form Of Partially Unitary Operator. Knowledge Generalizing Operator. - Vladislav Gennadievich Malyshkin (CoRR, 2022)

On Partially Unitary Learning. - Mikhail Gennadievich Belov; Vladislav Gennadievich Malyshkin (CoRR, 2024)

On Quantum Channel Learning. - Mikhail Gennadievich Belov; Victor Victorovich Dubov; Alexey Vladimirovich Filimonov; Vladislav Gennadievich Malyshkin (CoRR, 2024)

Super Quantum Mechanics. - Mikhail Gennadievich Belov; Victor Victorovich Dubov; Vadim Konstantinovich Ivanov; Alexander Yurievich Maslov; Olga Vladimirovna Proshina; Vladislav Gennadievich Malyshkin (CoRR, 2025)

Trade Execution Flow as the Underlying Source of Market Dynamics. - Mikhail Gennadievich Belov; Victor Victorovich Dubov; Vadim Konstantinovich Ivanov; Alexander Yurievich Maslov; Olga Vladimirovna Proshina; Vladislav Gennadievich Malyshkin (CoRR, 2025)

Semidefinite Programming for Quantum Channel Learning. - Mikhail Gennadievich Belov; Victor Victorovich Dubov; Vadim Konstantinovich Ivanov; Alexander Yurievich Maslov; Olga Vladimirovna Proshina; Vladislav Gennadievich Malyshkin (CoRR, 2026)