Babak Shahbaba

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 16

Top Topics

Gaussian Processes

Top Venues

Publications

Yubai Yuan, Babak Shahbaba, Norbert Fortin, Keiland W. Cooper, Qing Nie, Annie Qu
Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data. CoRR (2024)
Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. CoRR (2023)
Wenzhuo Zhou, Annie Qu, Keiland W. Cooper, Norbert Fortin, Babak Shahbaba
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information. CoRR (2023)
Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. ICML (2023)
Shiwei Lan, Shuyi Li, Babak Shahbaba
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks. SIAM/ASA J. Uncertain. Quantification 10 (4) (2022)
Guilllermo Granados-Garcia, Mark Fiecas, Babak Shahbaba, Norbert Fortin, Hernando Ombao
Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels. Comput. Stat. Data Anal. 174 (2022)
Andrew Holbrook, Shiwei Lan, Jeffrey Streets, Babak Shahbaba
Nonparametric Fisher Geometry with Application to Density Estimation. UAI (2020)
Michelle N. Ngo, Dustin S. Pluta, Alexander N. Ngo, Babak Shahbaba
Conjoined Dirichlet Process. CoRR (2020)
Lingge Li, Andrew Holbrook, Babak Shahbaba, Pierre Baldi
Neural network gradient Hamiltonian Monte Carlo. Comput. Stat. 34 (1) (2019)
Tian Chen, Lingge Li, Gabriel Elias, Norbert Fortin, Babak Shahbaba
Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method. CoRR (2019)
Lingge Li, Dustin S. Pluta, Babak Shahbaba, Norbert Fortin, Hernando Ombao, Pierre Baldi
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes. NeurIPS (2019)
Xu Gao, Babak Shahbaba, Hernando Ombao
Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States. J. Classif. 35 (3) (2018)
Cheng Zhang, Babak Shahbaba, Hongkai Zhao
Hamiltonian Monte Carlo acceleration using surrogate functions with random bases. Stat. Comput. 27 (6) (2017)
Cheng Zhang, Babak Shahbaba, Hongkai Zhao
Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space. Comput. Stat. 32 (1) (2017)
Forest Agostinelli, Nicholas Ceglia, Babak Shahbaba, Paolo Sassone-Corsi, Pierre Baldi
What time is it? Deep learning approaches for circadian rhythms. Bioinform. 32 (19) (2016)
Forest Agostinelli, Nicholas Ceglia, Babak Shahbaba, Paolo Sassone-Corsi, Pierre Baldi
What time is it? Deep learning approaches for circadian rhythms. Bioinform. 32 (12) (2016)
Shiwei Lan, Julia A. Palacios, Michael D. Karcher, Vladimir N. Minin, Babak Shahbaba
An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics. Bioinform. 31 (20) (2015)
Babak Shahbaba, Shiwei Lan, Wesley O. Johnson, Radford M. Neal
Split Hamiltonian Monte Carlo. Stat. Comput. 24 (3) (2014)
Sungjin Ahn, Babak Shahbaba, Max Welling
Distributed Stochastic Gradient MCMC. ICML (2014)
Shiwei Lan, Bo Zhou, Babak Shahbaba
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions. ICML (2014)
Shiwei Lan, Jeffrey Streets, Babak Shahbaba
Wormhole Hamiltonian Monte Carlo. AAAI (2014)
Babak Shahbaba, Bo Zhou, Shiwei Lan, Hernando Ombao, David Moorman, Sam Behseta
A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons. Neural Comput. 26 (9) (2014)
Babak Shahbaba, Radford M. Neal
Nonlinear Models Using Dirichlet Process Mixtures. J. Mach. Learn. Res. 10 (2009)
Babak Shahbaba, Eva Prenosil, Anjali Jain, Sylvia K. Plevritis
A modified Dirichlet process mixture model for clustering phosphopeptides based on their response to anti-cancer drug perturbation. BIOCOMP (2008)
Babak Shahbaba, Radford M. Neal
Gene function classification using Bayesian models with hierarchy-based priors. BMC Bioinform. 7 (2006)