Maxim Samarin

Orcid: 0000-0002-9242-1827

According to our database1, Maxim Samarin authored at least 9 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Truly Mesh-free Physics-Informed Neural Networks.
CoRR, 2022

Learning Invariances with Generalised Input-Convex Neural Networks.
CoRR, 2022

Feature learning and random features in standard finite-width convolutional neural networks: An empirical study.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Learning Extremal Representations with Deep Archetypal Analysis.
Int. J. Comput. Vis., 2021

Learning Conditional Invariance Through Cycle Consistency.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020
Identifying Soil Erosion Processes in Alpine Grasslands on Aerial Imagery with a U-Net Convolutional Neural Network.
Remote. Sens., 2020

On the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures.
CoRR, 2020

2019
Deep Archetypal Analysis.
Proceedings of the Pattern Recognition, 2019

2018
Computational EEG in Personalized Medicine: A study in Parkinson's Disease.
CoRR, 2018


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