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Niccolò Zanichelli
Niccolò Zanichelli
Verified email at studenti.unipr.it
Title
Cited by
Cited by
Year
OpenFold: Retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization
G Ahdritz, N Bouatta, S Kadyan, Q Xia, W Gerecke, TJ O’Donnell, ...
Biorxiv, 2022.11. 20.517210, 2022
992022
Rita: a study on scaling up generative protein sequence models
D Hesslow, N Zanichelli, P Notin, I Poli, D Marks
arXiv preprint arXiv:2205.05789, 2022
462022
Masked inverse folding with sequence transfer for protein representation learning
KK Yang, N Zanichelli, H Yeh
Protein Engineering, Design and Selection 36, gzad015, 2023
362023
Openfold: Retraining alphafold2 yields new insights into its learning mechanisms and capacity for generalization. bioRxiv
G Ahdritz, N Bouatta, S Kadyan, Q Xia, W Gerecke, TJ O’Donnell, ...
Preprint, 2022
142022
Masked inverse folding with sequence transfer for protein representation learning. bioRxiv
KK Yang, N Zanichelli, H Yeh
preprint, 2022
92022
OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization. bioRxiv 2022.11. 20.517210
G Ahdritz, N Bouatta, S Kadyan, Q Xia, W Gerecke, TJ O’Donnell, ...
52022
Stable LM 2 1.6 B Technical Report
M Bellagente, J Tow, D Mahan, D Phung, M Zhuravinskyi, R Adithyan, ...
arXiv preprint arXiv:2402.17834, 2024
42024
RITA: a study on scaling up generative protein sequence models. arXiv, 2022. doi: 10.48550
D Hesslow, N Zanichelli, P Notin, I Poli, D Marks
arXiv preprint arXiv.2205.05789, 0
4
Q&A Generation for Flashcards Within a Transformer-Based Framework
B Thabet, N Zanichelli, F Zanichelli
International Workshop on Higher Education Learning Methodologies and …, 2022
12022
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