Antti Honkela - Citegraph

Author Info

Name	Affiliation	Papers
ANTTI HONKELA	Aalto Univ, Sch Sci & Technol, Dept Informat & Comp Sci, FI-00076 Aalto, Finland	33
Collaborators	Citations	PageRank
59	256	27.52
Referers	Referees	References
603	615	329

Search Limit

100615

Publications (33 rows)

Collaborators (59 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Differentially Private Bayesian Inference For Generalized Linear Models	0	0.34	2021
Tight Differential Privacy For Discrete-Valued Mechanisms And For The Subsampled Gaussian Mechanism Using Fft	0	0.34	2021
Computing Exact Guarantees for Differential Privacy.	0	0.34	2019
Representation Transfer for Differentially Private Drug Sensitivity Prediction.	0	0.34	2019
Differentially Private Markov Chain Monte Carlo.	0	0.34	2019
Learning rate adaptation for differentially private stochastic gradient descent.	0	0.34	2018
Differentially Private Variational Inference For Non-Conjugate Models	1	0.35	2017
Differentially Private Bayesian Learning on Distributed Data.	1	0.35	2017
On the inconsistency of ℓ 1-penalised sparse precision matrix estimation.	0	0.34	2016
On the inconsistency of $\ell_1$-penalised sparse precision matrix estimation.	0	0.34	2016
Analysis of differential splicing suggests different modes of short-term splicing regulation.	2	0.48	2016
Efficient differentially private learning improves drug sensitivity prediction.	5	0.45	2016
Fast and accurate approximate inference of transcript expression from RNA-seq data	4	0.46	2015
Gaussian process modelling of multiple short time series	0	0.34	2015
Inference of RNA Polymerase II Transcription Dynamics from Chromatin Immunoprecipitation Time Course Data.	1	0.37	2014
Exploration and retrieval of whole-metagenome sequencing samples.	4	0.43	2013
Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparison.	7	0.55	2012
Identifying differentially expressed transcripts from RNA-seq data with biological variation.	39	2.23	2012
Missing-Feature Reconstruction With a Bounded Nonlinear State-Space Model.	6	0.53	2011
A generative approach for image-based modeling of tumor growth	16	0.79	2011
tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductor.	2	0.40	2011
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes	16	1.28	2010
Model-Based Method For Transcription Factor Target Identification With Limited Data	30	1.54	2010
Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities.	25	2.16	2008
Blind separation of nonlinear mixtures by variational Bayesian learning	13	0.69	2007
Agglomerative independent variable group analysis	2	0.42	2007
Natural Conjugate Gradient in Variational Inference	15	1.09	2007
State inference in variational bayesian nonlinear state-space models	4	0.56	2006
Empirical evidence of the linear nature of magnetoencephalograms	2	0.40	2005
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework	7	0.67	2005
Unsupervised Variational Bayesian Learning of Nonlinear Models	25	5.36	2004
Nonlinear Blind Source Separation By Variational Bayesian Learning	14	1.47	2003
Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches	15	1.44	2003