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Sergey Pozdnyakov

Sergey N. Pozdnyakov

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2020 – today

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2024
[i6]
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  - journals/corr/abs-2406-17747
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  - https://dblp.org/rec/journals/corr/abs-2406-17747
Marcel F. Langer, Sergey N. Pozdnyakov, Michele Ceriotti:
Probing the effects of broken symmetries in machine learning. CoRR abs/2406.17747 (2024)
2023
[c1]
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  - conf/nips/PozdnyakovC23
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Sergey Pozdnyakov, Michele Ceriotti:
Smooth, exact rotational symmetrization for deep learning on point clouds. NeurIPS 2023
[i5]
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  - journals/corr/abs-2302-14770
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Jigyasa Nigam, Sergey N. Pozdnyakov, Kevin K. Huguenin-Dumittan, Michele Ceriotti:
Completeness of Atomic Structure Representations. CoRR abs/2302.14770 (2023)
[i4]
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  - journals/corr/abs-2303-04124
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Filippo Bigi, Sergey N. Pozdnyakov, Michele Ceriotti:
Wigner kernels: body-ordered equivariant machine learning without a basis. CoRR abs/2303.04124 (2023)
[i3]
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  - journals/corr/abs-2305-19302
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Sergey N. Pozdnyakov, Michele Ceriotti:
Smooth, exact rotational symmetrization for deep learning on point clouds. CoRR abs/2305.19302 (2023)
2022
[j1]
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  - journals/mlst/PozdnyakovC22
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Sergey N. Pozdnyakov, Michele Ceriotti:
Incompleteness of graph neural networks for points clouds in three dimensions. Mach. Learn. Sci. Technol. 3(4): 45020 (2022)
[i2]
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  - journals/corr/abs-2201-07136
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Sergey N. Pozdnyakov, Michele Ceriotti:
Incompleteness of graph convolutional neural networks for points clouds in three dimensions. CoRR abs/2201.07136 (2022)
2021
[i1]
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  - journals/corr/abs-2105-08717
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Alexander Goscinski, Felix Musil, Sergey Pozdnyakov, Michele Ceriotti:
Optimal radial basis for density-based atomic representations. CoRR abs/2105.08717 (2021)

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