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ORCIDBabak Shahbaba
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- affiliation: University of California, Irvine, USA
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2020 – today
- 2024
[i5]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 abs/2407.00099 (2024)- 2023
- [c7]Ba-Hien Tran, Babak Shahbaba
, Stephan Mandt, Maurizio Filippone:
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. ICML 2023: 34409-34430 - [i4]Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone:
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. CoRR abs/2302.04534 (2023) - [i3]Wenzhuo Zhou, Annie Qu, Keiland W. Cooper, Norbert Fortin, Babak Shahbaba:
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information. CoRR abs/2309.13459 (2023) - 2022
- [j13]Guilllermo Granados-Garcia, Mark Fiecas, Babak Shahbaba, Norbert Fortin, Hernando C. Ombao:
Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels. Comput. Stat. Data Anal. 174: 107409 (2022) - [j12]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): 1684-1713 (2022) - [d1]Babak Shahbaba, Lingge Li, Forest Agostinelli, Mansi Saraf, Keiland W. Cooper, Derenik Haghverdian, Gabriel A. Elias, Pierre Baldi, Norbert J. Fortin:
Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events. Zenodo, 2022
- 2020
- [c6]Andrew Holbrook, Shiwei Lan, Jeffrey Streets, Babak Shahbaba:
Nonparametric Fisher Geometry with Application to Density Estimation. UAI 2020: 101-110 - [i2]Michelle N. Ngo, Dustin S. Pluta, Alexander N. Ngo, Babak Shahbaba:
Conjoined Dirichlet Process. CoRR abs/2002.03223 (2020)
2010 – 2019
- 2019
- [j11]Lingge Li, Andrew Holbrook, Babak Shahbaba, Pierre Baldi:
Neural network gradient Hamiltonian Monte Carlo. Comput. Stat. 34(1): 281-299 (2019) - [c5]Lingge Li, Dustin S. Pluta, Babak Shahbaba, Norbert Fortin, Hernando Ombao, Pierre Baldi:
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes. NeurIPS 2019: 8261-8271 - [i1]Tian Chen, Lingge Li, Gabriel Elias, Norbert Fortin, Babak Shahbaba:
Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method. CoRR abs/1910.05695 (2019) - 2018
- [j10]Xu Gao, Babak Shahbaba, Hernando C. Ombao:
Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States. J. Classif. 35(3): 549-579 (2018) - 2017
- [j9]Cheng Zhang, Babak Shahbaba, Hongkai Zhao:
Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space. Comput. Stat. 32(1): 253-279 (2017) - [j8]Cheng Zhang, Babak Shahbaba, Hongkai Zhao:
Hamiltonian Monte Carlo acceleration using surrogate functions with random bases. Stat. Comput. 27(6): 1473-1490 (2017) - 2016
- [j7]Forest Agostinelli, Nicholas Ceglia, Babak Shahbaba, Paolo Sassone-Corsi, Pierre Baldi:
What time is it? Deep learning approaches for circadian rhythms. Bioinform. 32(12): 8-17 (2016) - [j6]Forest Agostinelli, Nicholas Ceglia, Babak Shahbaba, Paolo Sassone-Corsi, Pierre Baldi:
What time is it? Deep learning approaches for circadian rhythms. Bioinform. 32(19): 3051 (2016) - 2015
- [j5]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): 3282-3289 (2015) - 2014
- [j4]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): 2025-2051 (2014) - [j3]Babak Shahbaba, Shiwei Lan, Wesley O. Johnson, Radford M. Neal:
Split Hamiltonian Monte Carlo. Stat. Comput. 24(3): 339-349 (2014) - [c4]Shiwei Lan, Jeffrey Streets, Babak Shahbaba:
Wormhole Hamiltonian Monte Carlo. AAAI 2014: 1953-1959 - [c3]Shiwei Lan, Bo Zhou, Babak Shahbaba:
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions. ICML 2014: 629-637 - [c2]Sungjin Ahn, Babak Shahbaba, Max Welling:
Distributed Stochastic Gradient MCMC. ICML 2014: 1044-1052
2000 – 2009
- 2009
- [j2]Babak Shahbaba, Radford M. Neal:
Nonlinear Models Using Dirichlet Process Mixtures. J. Mach. Learn. Res. 10: 1829-1850 (2009) - 2008
- [c1]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: 17-22 - 2006
- [j1]Babak Shahbaba, Radford M. Neal:
Gene function classification using Bayesian models with hierarchy-based priors. BMC Bioinform. 7: 448 (2006)
Coauthor Index
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