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Mathematical Foundations of Artificial Intelligence, Moscow
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Federated learning. Fundamental aspects. Open problems
А. В. Гасников
February 14, 2024 17:00
Moscow
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How maths can help in the development and research of artificial intelligence algorithms
И. В. Оселедец
February 28, 2024 17:00
Moscow
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Kolmogorov theorem and Neural networks
Д. А. Яроцкий
March 13, 2024 17:00
Moscow
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Universal formulas: structure and learning by gradient descent
Д. А. Яроцкий
March 27, 2024 17:00
Moscow
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Optimal transport, barycenters of distributions and generative models
Е. В. Бурнаев
April 10, 2024 17:00
Moscow
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Is there an alternative to neural networks?
В. Н. Темляков
April 24, 2024 17:00
Moscow
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Geometric and probabilistic interpretation of the multilayer perseptron
А. П. Коваленко, А. И. Перминов
May 22, 2024 17:00
Moscow
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An introduction to Kolmogorov complexity with applications to reinforcement learning
Bruno Bauwens
June 4, 2024 16:00
Moscow
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On convergence and generalization problems of shallow neural networks
А. А. Разборов
June 19, 2024 17:00
Moscow
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Order of сhaos: entropic theory of dynamical systems (to the 70th Anniversary of A. N. Kolmogorov's lecture in Amsterdam)
А. И. Буфетов
September 4, 2024 17:00
Moscow
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The challenge of building stable, accurate and robust data-driven AI
И. Ю. Тюкин
September 25, 2024 17:00
Moscow
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Preference-based Reinforcement Learning
Д. В. Беломестный
October 2, 2024 17:00
Moscow
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Nonasymptotic analysis of stochastic approximation algorithms and applications
А. А. Наумов
October 16, 2024 17:00
Moscow
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Surprising properties of loss landscape in over-parameterized models
Д. П. Ветров
October 30, 2024 17:00
Moscow
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