Yuhai Tu

According to our database, Yuhai Tu authored at least 24 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Yu Feng, Wei Zhang, Yuhai Tu

Nat. Mac. Intell., August, 2023

Maximal Domain Independent Representations Improve Transfer Learning.

Adrian Shuai Li, Elisa Bertino, Xuan-Hong Dang, Ankush Singla, Yuhai Tu, Mark N. Wegman

CoRR, 2023

2022

Effective Dynamics of Generative Adversarial Networks.

Steven Durr, Youssef Mroueh, Yuhai Tu, Shenshen Wang

CoRR, 2022

Stochastic gradient descent introduces an effective landscape-dependent regularization favoring flat solutions.

Ning Yang, Chao Tang, Yuhai Tu

CoRR, 2022

The activity-weight duality in feed forward neural networks: The geometric determinants of generalization.

Yu Feng, Yuhai Tu

CoRR, 2022

2021

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

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.

Yu Feng, Yuhai Tu

Mach. Learn. Sci. Technol., 2021

Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses in Drosophila Olfactory System.

Yuxuan Liu, Qianyi Li, Chao Tang, Shanshan Qin, Yuhai Tu

Frontiers Comput. Neurosci., 2021

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

Wei Zhang, Mingrui Liu, Yu Feng, Xiaodong Cui, Brian Kingsbury, Yuhai Tu

CoRR, 2021

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

Yu Feng, Yuhai Tu

CoRR, 2021

2020

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

Yu Feng, Yuhai Tu

CoRR, 2020

2019

Continual Learning with Self-Organizing Maps.

Pouya Bashivan, Martin Schrimpf, Robert Ajemian, Irina Rish, Matthew Riemer, Yuhai Tu

CoRR, 2019

Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference.

Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

A dual regulation mechanism of histidine kinase CheA identified by combining network-dynamics modeling and system-level input-output data.

Bernardo A. Mello, Wenlin Pan, Gerald L. Hazelbauer, Yuhai Tu

PLoS Comput. Biol., 2018

2014

Behaviors and Strategies of Bacterial Navigation in Chemical and Nonchemical Gradients.

Bo Hu, Yuhai Tu

PLoS Comput. Biol., 2014

2013

Microfluidics and its applications in quantitative biology.

Yuhai Tu

Quant. Biol., 2013

2012

Shortest Loops are Pacemakers in Random Networks of Electrically Coupled Axons.

Nikita Vladimirov, Yuhai Tu, Roger D. Traub

Frontiers Comput. Neurosci., 2012

2010

Quantitative Modeling of <i>Escherichia coli</i> Chemotactic Motion in Environments Varying in Space and Time.

Lili Jiang, Qi Ouyang, Yuhai Tu

PLoS Comput. Biol., 2010

2008

Spatially-Compressed Cardiac Myofilament Models Generate Hysteresis that Is Not Found in Real Muscle.

John Jeremy Rice, Yuhai Tu, Corrado Poggesi, Pieter P. deTombe

Proceedings of the Biocomputing 2008, 2008

2005

Reconstructing biological networks using conditional correlation analysis.

John Jeremy Rice, Yuhai Tu, Gustavo Stolovitzky

Bioinform., 2005

2004

Genes@Work: an efficient algorithm for pattern discovery and multivariate feature selection in gene expression data.

Jorge Lepre, John Jeremy Rice, Yuhai Tu, Gustavo Stolovitzky

Bioinform., 2004

2003

Dynamics of Coalition Formation in Combinatorial Trading.

Yiming Ye, Yuhai Tu

Proceedings of the IJCAI-03, 2003

Can We Identify Cellular Pathways Implicated in Cancer Using Gene Expression Data?

Nigam Shah, Jorge Lepre, Yuhai Tu, Gustavo Stolovitzky

Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003

2000

Analysis of Gene Expression Microarrays for Phenotype Classification.

Andrea Califano, Gustavo Stolovitzky, Yuhai Tu

Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000