Covariant Information Theory and Emergent Gravity. - Vitaly Vanchurin (CoRR, 2017)

Towards a theory of machine learning. - Vitaly Vanchurin (CoRR, 2020)

Emergent Quantumness in Neural Networks. - Mikhail I. Katsnelson; Vitaly Vanchurin (CoRR, 2020)

The World as a Neural Network. - Vitaly Vanchurin (Entropy, 2020)

Self-organized criticality in neural networks. - Mikhail I. Katsnelson; Vitaly Vanchurin; Tom Westerhout (CoRR, 2021)

Towards a Theory of Evolution as Multilevel Learning. - Vitaly Vanchurin; Yuri I. Wolf; Mikhail I. Katsnelson; Eugene V. Koonin (CoRR, 2021)

Thermodynamics of Evolution and the Origin of Life. - Vitaly Vanchurin; Yuri I. Wolf; Eugene V. Koonin; Mikhail I. Katsnelson (CoRR, 2021)

Toward a theory of machine learning. - Vitaly Vanchurin (Mach. Learn. Sci. Technol., 2021)

Towards a Theory of Quantum Gravity from Neural Networks. - Vitaly Vanchurin (Entropy, 2022)

Autonomous particles. - Nikola Andrejic; Vitaly Vanchurin (CoRR, 2023)

Bio-inspired machine learning: programmed death and replication. - Andrey Grabovsky; Vitaly Vanchurin (Neural Comput. Appl., 2023)

Dataset-learning duality and emergent criticality. - Ekaterina Kukleva; Vitaly Vanchurin (CoRR, 2024)

Emergent field theories from neural networks. - Vitaly Vanchurin (CoRR, 2024)

Quasi-Equilibrium States and Phase Transitions in Biological Evolution. - Artem Romanenko; Vitaly Vanchurin (Entropy, 2024)

Covariant Gradient Descent. - Dmitry Guskov; Vitaly Vanchurin (CoRR, 2025)

Molecular Learning Dynamics. - Yaroslav Gusev; Vitaly Vanchurin (CoRR, 2025)

Geometric Learning Dynamics. - Vitaly Vanchurin (CoRR, 2025)