Babak Shahbaba

33 papers A* 6A 1Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ConformalHDC: Uncertainty-Aware Hyperdimensional Computing with Application to Neural Decoding. CoRR Ziyi Liang, Hamed Poursiami, Zhishun Yang, Keiland W. Cooper, Akhilesh Jaiswal, Maryam Parsa, Norbert Fortin, Babak Shahbaba
2026	J	`jnl`	Heterogeneous Graph Alignment for Joint Reasoning and Interpretability. CoRR Zahra Moslemi, Ziyi Liang, Norbert Fortin, Babak Shahbaba
2026	J	`jnl`	Neural-Inspired Posterior Approximation (NIPA). CoRR Babak Shahbaba, Zahra Moslemi
2025	J	`jnl`	Meta Fusion: A Unified Framework For Multimodality Fusion with Mutual Learning. CoRR Ziyi Liang, Annie Qu, Babak Shahbaba
2025	J	`jnl`	Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data. CoRR Rui Miao, Babak Shahbaba, Annie Qu
2024	J	`jnl`	Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data. CoRR Yubai Yuan, Babak Shahbaba, Norbert Fortin, Keiland W. Cooper, Qing Nie, Annie Qu
2024	J	`jnl`	Scaling Up Bayesian Neural Networks with Neural Networks. Trans. Mach. Learn. Res. Zahra Moslemi, Yang Meng, Shiwei Lan, Babak Shahbaba
2024	A*	`conf`	Unity by Diversity: Improved Representation Learning for Multimodal VAEs. NeurIPS Thomas M. Sutter, Yang Meng, Andrea Agostini, Daphné Chopard, Norbert Fortin, Julia E. Vogt, Babak Shahbaba, Stephan Mandt
2024	J	`jnl`	Weakly-Supervised Multimodal Learning on MIMIC-CXR. CoRR Andrea Agostini, Daphné Chopard, Yang Meng, Norbert Fortin, Babak Shahbaba, Stephan Mandt, Thomas M. Sutter, Julia E. Vogt
2023	J	`jnl`	A Model-Agnostic Graph Neural Network for Integrating Local and Global Information. CoRR Wenzhuo Zhou, Annie Qu, Keiland W. Cooper, Norbert Fortin, Babak Shahbaba
2023	A*	`conf`	Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. ICML Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone
2023	J	`jnl`	Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. CoRR Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone
2022	J	`jnl`	Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels. Comput. Stat. Data Anal. Guilllermo Granados-Garcia, Mark Fiecas, Babak Shahbaba, Norbert Fortin, Hernando C. Ombao
2022	J	`jnl`	Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks. SIAM/ASA J. Uncertain. Quantification Shiwei Lan, Shuyi Li, Babak Shahbaba
2020	J	`jnl`	Conjoined Dirichlet Process. CoRR Michelle N. Ngo, Dustin S. Pluta, Alexander N. Ngo, Babak Shahbaba
2020	A	`conf`	Nonparametric Fisher Geometry with Application to Density Estimation. UAI Andrew Holbrook, Shiwei Lan, Jeffrey Streets, Babak Shahbaba
2019	J	`jnl`	Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method. CoRR Tian Chen, Lingge Li, Gabriel Elias, Norbert Fortin, Babak Shahbaba
2019	A*	`conf`	Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes. NeurIPS Lingge Li, Dustin S. Pluta, Babak Shahbaba, Norbert Fortin, Hernando Ombao, Pierre Baldi
2019	J	`jnl`	Neural network gradient Hamiltonian Monte Carlo. Comput. Stat. Lingge Li, Andrew Holbrook, Babak Shahbaba, Pierre Baldi
2018	J	`jnl`	Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States. J. Classif. Xu Gao, Babak Shahbaba, Hernando C. Ombao
2017	J	`jnl`	Hamiltonian Monte Carlo acceleration using surrogate functions with random bases. Stat. Comput. Cheng Zhang, Babak Shahbaba, Hongkai Zhao
2017	J	`jnl`	Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space. Comput. Stat. Cheng Zhang, Babak Shahbaba, Hongkai Zhao
2016	J	`jnl`	What time is it? Deep learning approaches for circadian rhythms. Bioinform. Forest Agostinelli, Nicholas Ceglia, Babak Shahbaba, Paolo Sassone-Corsi, Pierre Baldi
2016	J	`jnl`	What time is it? Deep learning approaches for circadian rhythms. Bioinform. Forest Agostinelli, Nicholas Ceglia, Babak Shahbaba, Paolo Sassone-Corsi, Pierre Baldi
2015	J	`jnl`	An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics. Bioinform. Shiwei Lan, Julia A. Palacios, Michael D. Karcher, Vladimir N. Minin, Babak Shahbaba
2014	J	`jnl`	A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons. Neural Comput. Babak Shahbaba, Bo Zhou, Shiwei Lan, Hernando Ombao, David Moorman, Sam Behseta
2014	A*	`conf`	Distributed Stochastic Gradient MCMC. ICML Sungjin Ahn, Babak Shahbaba, Max Welling
2014	A*	`conf`	Spherical Hamiltonian Monte Carlo for Constrained Target Distributions. ICML Shiwei Lan, Bo Zhou, Babak Shahbaba
2014	J	`jnl`	Split Hamiltonian Monte Carlo. Stat. Comput. Babak Shahbaba, Shiwei Lan, Wesley O. Johnson, Radford M. Neal
2014	A*	`conf`	Wormhole Hamiltonian Monte Carlo. AAAI Shiwei Lan, Jeffrey Streets, Babak Shahbaba
2009	J	`jnl`	Nonlinear Models Using Dirichlet Process Mixtures. J. Mach. Learn. Res. Babak Shahbaba, Radford M. Neal
2008	—	`conf`	A modified Dirichlet process mixture model for clustering phosphopeptides based on their response to anti-cancer drug perturbation. BIOCOMP Babak Shahbaba, Eva Prenosil, Anjali Jain, Sylvia K. Plevritis
2006	J	`jnl`	Gene function classification using Bayesian models with hierarchy-based priors. BMC Bioinform. Babak Shahbaba, Radford M. Neal