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Michael N. Pun

Michael Neal Pun

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Conference and Workshop Papers

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2023
[c1]
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  dblp key:
  - conf/mlcb/VisaniGPN23
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Gian Marco Visani, William Galvin, Michael N. Pun, Armita Nourmohammad:
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing. MLCB 2023: 230-249

Informal and Other Publications

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2024
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  - journals/corr/abs-2407-06703
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Gian Marco Visani, Michael N. Pun, William Galvin, Eric Daniel, Kevin Borisiak, Utheri Wagura, Armita Nourmohammad:
HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction. CoRR abs/2407.06703 (2024)
2023
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  - journals/corr/abs-2311-09312
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Gian Marco Visani, William Galvin, Michael Neal Pun, Armita Nourmohammad:
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing. CoRR abs/2311.09312 (2023)
2022
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  - journals/corr/abs-2209-15567
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Gian Marco Visani, Michael N. Pun, Armita Nourmohammad:
Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space. CoRR abs/2209.15567 (2022)
[i1]
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  - journals/corr/abs-2211-02936
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  - https://dblp.org/rec/journals/corr/abs-2211-02936
Michael N. Pun, Andrew Ivanov, Quinn Bellamy, Zachary Montague, Colin H. LaMont, Philip Bradley, Jakub Otwinowski, Armita Nourmohammad:
Learning the shape of protein micro-environments with a holographic convolutional neural network. CoRR abs/2211.02936 (2022)

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