Vu Dinh

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Lam Si Tung HoAssociate Professor, Department of Mathematics and Statistics, Dalhousie UniversityCorreu electrònic verificat a dal.ca
Frederick "Erick" A. Matsen IVProfessor, Fred Hutchinson Cancer CenterCorreu electrònic verificat a fredhutch.org
Cuong V. NguyenDurham UniversityCorreu electrònic verificat a durham.ac.uk
Gregery T BuzzardProfessor of Mathematics, Purdue UniversityCorreu electrònic verificat a purdue.edu
Ann RundellAssociate Professor of Biomedical Engineering, Purdue UniversityCorreu electrònic verificat a purdue.edu
Binh NguyenAssociate Professor, University of Science, Vietnam.Correu electrònic verificat a hcmus.edu.vn
Ankush ChakrabartyPrincipal Research Scientist at Mitsubishi Electric Research Laboratories (MERL)Correu electrònic verificat a merl.com
Stanislaw H. ŻakProfessor of Electrical and Computer Engineering, Purdue UniversityCorreu electrònic verificat a purdue.edu
Duy NguyenPh.D. Statistics, University of Wisconsin-MadisonCorreu electrònic verificat a stat.wisc.edu
Aaron DarlingIndependentCorreu electrònic verificat a illumina.com
cheng zhangPeking UniversityCorreu electrònic verificat a pku.edu.cn
Connor McCoyFred Hutchinson Cancer Research CenterCorreu electrònic verificat a fhcrc.org
Mathieu FourmentUniversity of Technology SydneyCorreu electrònic verificat a uts.edu.au
Martin CorlessAeronautics & Astronautics, Purdue UniversityCorreu electrònic verificat a purdue.edu
Arman BilgeComputational evolutionary biologistCorreu electrònic verificat a armanbilge.com
Tal HassnerWeir AICorreu electrònic verificat a openu.ac.il
Bradley J. LucierProfessor Emeritus of Mathematics and Computer Science, Purdue UniversityCorreu electrònic verificat a math.purdue.edu
Dor Ben-AmotzPurdue UniversityCorreu electrònic verificat a purdue.edu
Marc A. SuchardProfessor, University of California, Los AngelesCorreu electrònic verificat a ucla.edu
Anh TranVinAI ResearchCorreu electrònic verificat a vinai.io

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Vu Dinh

University of Delaware

Correu electrònic verificat a udel.edu - Pàgina d'inici

Phylogenetics Machine learning Uncertainty quantification


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Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences A Chakrabarty, V Dinh, M Corless, AE Rundell, SH Zak, GT Buzzard IEEE, 2016	87	2016
Mel-frequency cepstral coefficients for eye movement identification NV Cuong, V Dinh, LST Ho 2012 ieee 24th international conference on tools with artificial …, 2012	66	2012
Probabilistic path hamiltonian monte carlo V Dinh, A Bilge, C Zhang, FA Matsen IV International Conference on Machine Learning, 1009-1018, 2017	60	2017
Consistent feature selection for analytic deep neural networks VC Dinh, LS Ho Advances in Neural Information Processing Systems 33, 2420-2431, 2020	51	2020
Effective online Bayesian phylogenetics via sequential Monte Carlo with guided proposals M Fourment, BC Claywell, V Dinh, C McCoy, FA Matsen IV, AE Darling Systematic biology 67 (3), 490-502, 2018	38	2018
Binary complementary filters for compressive Raman spectroscopy OG Rehrauer, VC Dinh, BR Mankani, GT Buzzard, BJ Lucier, ... Applied spectroscopy 72 (1), 69-78, 2018	34	2018
Online Bayesian phylogenetic inference: theoretical foundations via sequential Monte Carlo V Dinh, AE Darling, FA Matsen IV Systematic biology 67 (3), 503-517, 2018	33	2018
Robust explicit nonlinear model predictive control with integral sliding mode A Chakrabarty, V Dinh, GT Buzzard, SH Żak, AE Rundell 2014 American Control Conference, 2851-2856, 2014	22	2014
Fast learning rates with heavy-tailed losses VC Dinh, LS Ho, B Nguyen, D Nguyen Advances in neural information processing systems 29, 2016	19	2016
Learning from non-iid data: Fast rates for the one-vs-all multiclass plug-in classifiers V Dinh, LST Ho, NV Cuong, D Nguyen, BT Nguyen Theory and Applications of Models of Computation: 12th Annual Conference …, 2015	19	2015
Generalization and robustness of batched weighted average algorithm with V-geometrically ergodic Markov data NV Cuong, LST Ho, V Dinh Algorithmic Learning Theory: 24th International Conference, ALT 2013 …, 2013	13	2013
Consistent feature selection for neural networks via Adaptive Group Lasso V Dinh, LST Ho arXiv preprint arXiv:2006.00334, 2020	11	2020
Experimental design for dynamics identification of cellular processes V Dinh, AE Rundell, GT Buzzard Bulletin of mathematical biology 76, 597-626, 2014	10	2014
The shape of the one-dimensional phylogenetic likelihood function V Dinh, FA Matsen IV The annals of applied probability: an official journal of the Institute of …, 2017	9	2017
A machine learning approach to identifying important features for achieving step thresholds in individuals with chronic stroke AE Miller, E Russell, DS Reisman, HE Kim, V Dinh Plos one 17 (6), e0270105, 2022	8	2022
Multi-task learning improves ancestral state reconstruction LST Ho, V Dinh, CV Nguyen Theoretical Population Biology 126, 33-39, 2019	8	2019
Bayesian active learning with abstention feedbacks CV Nguyen, LST Ho, H Xu, V Dinh, BT Nguyen Neurocomputing 471, 242-250, 2022	7	2022
Consistency and convergence rate of phylogenetic inference via regularization V Dinh, LST Ho, MA Suchard, FA Matsen IV Annals of statistics 46 (4), 1481, 2018	7	2018
When can we reconstruct the ancestral state? A unified theory LST Ho, V Dinh Theoretical Population Biology 148, 22-27, 2022	6	2022
Searching for minimal optimal neural networks LST Ho, V Dinh Statistics & Probability Letters 183, 109353, 2022	6	2022

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