Yu Feng

Orcid: 0000-0003-3688-0284

Affiliations:

IBM T. J. Watson Research Center, Yorktown Heights, NY, USA

According to our database¹, Yu Feng authored at least 7 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2024

Attractor neural networks with double well synapses.

[BibT_eX]

[DOI]

Yu Feng

Nicolas Brunel

PLoS Comput. Biol., February, 2024

2023

Activity-weight duality in feed-forward neural networks reveals two co-determinants for generalization.

[BibT_eX]

[DOI]

Yu Feng

Wei Zhang

Yuhai Tu

Nat. Mac. Intell., August, 2023

2021

The inverse variance-flatness relation in stochastic gradient descent is critical for finding flat minima.

[BibT_eX]

[DOI]

Yu Feng

Yuhai Tu

Proc. Natl. Acad. Sci. USA, 2021

Phases of learning dynamics in artificial neural networks in the absence or presence of mislabeled data.

[BibT_eX]

[DOI]

Yu Feng

Yuhai Tu

Mach. Learn. Sci. Technol., 2021

Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent.

[BibT_eX]

[DOI]

CoRR, 2021

Phases of learning dynamics in artificial neural networks: with or without mislabeled data.

[BibT_eX]

[DOI]

Yu Feng

Yuhai Tu

CoRR, 2021

2020

How neural networks find generalizable solutions: Self-tuned annealing in deep learning.

[BibT_eX]

[DOI]

Yu Feng

Yuhai Tu

CoRR, 2020

Yu Feng

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