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2020 – today
- 2023
[j11]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): 908-918 (2023)- [i9]Adrian Shuai Li, Elisa Bertino, Xuan-Hong Dang, Ankush Singla, Yuhai Tu, Mark N. Wegman:
Maximal Domain Independent Representations Improve Transfer Learning. CoRR abs/2306.00262 (2023) - 2022
- [i8]Yu Feng, Yuhai Tu:
The activity-weight duality in feed forward neural networks: The geometric determinants of generalization. CoRR abs/2203.10736 (2022) - [i7]Ning Yang, Chao Tang, Yuhai Tu:
Stochastic gradient descent introduces an effective landscape-dependent regularization favoring flat solutions. CoRR abs/2206.01246 (2022) - [i6]Steven Durr, Youssef Mroueh, Yuhai Tu, Shenshen Wang:
Effective Dynamics of Generative Adversarial Networks. CoRR abs/2212.04580 (2022) - 2021
- [j10]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: 730431 (2021) - [j9]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): 43001 (2021) - [j8]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): e2015617118 (2021) - [i5]Yu Feng, Yuhai Tu:
Phases of learning dynamics in artificial neural networks: with or without mislabeled data. CoRR abs/2101.06509 (2021) - [i4]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 abs/2112.01433 (2021) - 2020
- [i3]Yu Feng, Yuhai Tu:
How neural networks find generalizable solutions: Self-tuned annealing in deep learning. CoRR abs/2001.01678 (2020)
2010 – 2019
- 2019
- [c5]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 - [i2]Pouya Bashivan, Martin Schrimpf, Robert Ajemian, Irina Rish, Matthew Riemer, Yuhai Tu:
Continual Learning with Self-Organizing Maps. CoRR abs/1904.09330 (2019) - 2018
- [j7]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) - [i1]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 abs/1810.11910 (2018) - 2014
- [j6]Bo Hu, Yuhai Tu:
Behaviors and Strategies of Bacterial Navigation in Chemical and Nonchemical Gradients. PLoS Comput. Biol. 10(6) (2014) - 2013
- [j5]Yuhai Tu:
Microfluidics and its applications in quantitative biology. Quant. Biol. 1(4): 272-280 (2013) - 2012
- [j4]Nikita Vladimirov, Yuhai Tu, Roger D. Traub:
Shortest Loops are Pacemakers in Random Networks of Electrically Coupled Axons. Frontiers Comput. Neurosci. 6: 17 (2012) - 2010
- [j3]Lili Jiang, Qi Ouyang, Yuhai Tu:
Quantitative Modeling of Escherichia coli Chemotactic Motion in Environments Varying in Space and Time. PLoS Comput. Biol. 6(4) (2010)
2000 – 2009
- 2008
- [c4]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: 366-377 - 2005
- [j2]John Jeremy Rice, Yuhai Tu, Gustavo Stolovitzky:
Reconstructing biological networks using conditional correlation analysis. Bioinform. 21(6): 765-773 (2005) - 2004
- [j1]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): 1033-1044 (2004) - 2003
- [c3]Nigam Shah, Jorge Lepre, Yuhai Tu, Gustavo Stolovitzky:
Can We Identify Cellular Pathways Implicated in Cancer Using Gene Expression Data? CSB 2003: 94-103 - [c2]Yiming Ye, Yuhai Tu:
Dynamics of Coalition Formation in Combinatorial Trading. IJCAI 2003: 625-632 - 2000
- [c1]Andrea Califano, Gustavo Stolovitzky, Yuhai Tu:
Analysis of Gene Expression Microarrays for Phenotype Classification. ISMB 2000: 75-85
Coauthor Index
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