Yuhai Tu

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 15

Top Topics

Stochastic Gradient Descent

Previously Unseen

Top Venues

PLoS Comput. Biol.

Mach. Learn. Sci. Technol.

Nat. Mac. Intell.

Publications

Adrian Shuai Li, Elisa Bertino, Xuan-Hong Dang, Ankush Singla, Yuhai Tu, Mark N. Wegman
Maximal Domain Independent Representations Improve Transfer Learning. CoRR (2023)
Yu Feng, Wei Zhang, Yuhai Tu
Activity-weight duality in feed-forward neural networks reveals two co-determinants for generalization. Nat. Mac. Intell. 5 (8) (2023)
Yu Feng, Yuhai Tu
The activity-weight duality in feed forward neural networks: The geometric determinants of generalization. CoRR (2022)
Steven Durr, Youssef Mroueh, Yuhai Tu, Shenshen Wang
Effective Dynamics of Generative Adversarial Networks. CoRR (2022)
Ning Yang, Chao Tang, Yuhai Tu
Stochastic gradient descent introduces an effective landscape-dependent regularization favoring flat solutions. CoRR (2022)
Yu Feng, Yuhai Tu
The inverse variance-flatness relation in stochastic gradient descent is critical for finding flat minima. Proc. Natl. Acad. Sci. USA 118 (9) (2021)
Yu Feng, Yuhai Tu
Phases of learning dynamics in artificial neural networks: with or without mislabeled data. CoRR (2021)
Yuxuan Liu, Qianyi Li, Chao Tang, Shanshan Qin, Yuhai Tu
Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses in Drosophila Olfactory System. Frontiers Comput. Neurosci. 15 (2021)
Wei Zhang, Mingrui Liu, Yu Feng, Xiaodong Cui, Brian Kingsbury, Yuhai Tu
Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent. CoRR (2021)
Yu Feng, Yuhai Tu
Phases of learning dynamics in artificial neural networks in the absence or presence of mislabeled data. Mach. Learn. Sci. Technol. 2 (4) (2021)
Yu Feng, Yuhai Tu
How neural networks find generalizable solutions: Self-tuned annealing in deep learning. CoRR (2020)
Pouya Bashivan, Martin Schrimpf, Robert Ajemian, Irina Rish, Matthew Riemer, Yuhai Tu
Continual Learning with Self-Organizing Maps. CoRR (2019)
Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference. ICLR (Poster) (2019)
Bernardo A. Mello, Wenlin Pan, Gerald L. Hazelbauer, Yuhai Tu
A dual regulation mechanism of histidine kinase CheA identified by combining network-dynamics modeling and system-level input-output data. PLoS Comput. Biol. 14 (7) (2018)
Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro
Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference. CoRR (2018)
Bo Hu, Yuhai Tu
Behaviors and Strategies of Bacterial Navigation in Chemical and Nonchemical Gradients. PLoS Comput. Biol. 10 (6) (2014)
Yuhai Tu
Microfluidics and its applications in quantitative biology. Quant. Biol. 1 (4) (2013)
Nikita Vladimirov, Yuhai Tu, Roger D. Traub
Shortest Loops are Pacemakers in Random Networks of Electrically Coupled Axons. Frontiers Comput. Neurosci. 6 (2012)
Lili Jiang, Qi Ouyang, Yuhai Tu
Chemotactic Motion in Environments Varying in Space and Time. PLoS Comput. Biol. 6 (4) (2010)
John Jeremy Rice, Yuhai Tu, Corrado Poggesi, Pieter P. deTombe
Spatially-Compressed Cardiac Myofilament Models Generate Hysteresis that Is Not Found in Real Muscle. Pacific Symposium on Biocomputing (2008)
John Jeremy Rice, Yuhai Tu, Gustavo Stolovitzky
Reconstructing biological networks using conditional correlation analysis. Bioinform. 21 (6) (2005)
Jorge Lepre, John Jeremy Rice, Yuhai Tu, Gustavo Stolovitzky
Genes@Work: an efficient algorithm for pattern discovery and multivariate feature selection in gene expression data. Bioinform. 20 (7) (2004)
Nigam Shah, Jorge Lepre, Yuhai Tu, Gustavo Stolovitzky
Can We Identify Cellular Pathways Implicated in Cancer Using Gene Expression Data? CSB (2003)
Yiming Ye, Yuhai Tu
Dynamics of Coalition Formation in Combinatorial Trading. IJCAI (2003)
Andrea Califano, Gustavo Stolovitzky, Yuhai Tu
Analysis of Gene Expression Microarrays for Phenotype Classification. ISMB (2000)