Mahdi Imani

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 48

Top Topics

Dynamical Systems

Reinforcement Learning

Regulatory Networks

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan
Collaborative AI Teaming in Unknown Environments via Active Goal Deduction. CoRR (2024)
Yongsheng Mei, Mahdi Imani, Tian Lan
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. CoRR (2024)
Zuyuan Zhang, Mahdi Imani, Tian Lan
Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information. CoRR (2024)
Seyed Hamid Hosseini, Mahdi Imani
An optimal Bayesian intervention policy in response to unknown dynamic cell stimuli. Inf. Sci. 666 (2024)
Yongsheng Mei, Mahdi Imani, Tian Lan
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. ICLR (2024)
Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Mahdi Imani
Optimal Inference of Hidden Markov Models Through Expert-Acquired Data. IEEE Trans. Artif. Intell. 5 (8) (2024)
Armita Kazeminajafabadi, Mahdi Imani
Optimal monitoring and attack detection of networks modeled by Bayesian attack graphs. Cybersecur. 6 (1) (2023)
Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Mahdi Imani
Optimal Recursive Expert-Enabled Inference in Regulatory Networks. IEEE Control. Syst. Lett. 7 (2023)
Mohammad Alali, Mahdi Imani
Reinforcement Learning Data-Acquiring for Causal Inference of Regulatory Networks. ACC (2023)
Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. ECAI (2023)
Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi
Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty. ACC (2022)
Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi
Bayesian Optimization for Expensive Smooth-Varying Functions. IEEE Intell. Syst. 37 (4) (2022)
Mohammad Alali, Mahdi Imani
Inference of Regulatory Networks Through Temporally Sparse Data. CoRR (2022)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions. CoRR (2022)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini, Rosario Cammarota, Mohsen Imani
BioHD: an efficient genome sequence search platform using HyperDimensional memorization. ISCA (2022)
Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani
HDPG: hyperdimensional policy-based reinforcement learning for continuous control. DAC (2022)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Adaptive Real-Time Filter for Partially-Observed Boolean Dynamical Systems. ICASSP (2021)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks. IEEE Intell. Syst. 36 (1) (2021)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Partially-Observed Discrete Dynamical Systems. ACC (2021)
Seyede Fatemeh Ghoreishi, Mahdi Imani
Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems. J. Comput. Inf. Sci. Eng. 21 (4) (2021)
Mahdi Imani, Edward R. Dougherty, Ulisses M. Braga-Neto
Boolean Kalman filter and smoother under model uncertainty. Autom. 111 (2020)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Bayesian Optimization Objective-Based Experimental Design. ACC (2020)
Seyede Fatemeh Ghoreishi, Mahdi Imani
Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems. ACC (2020)
Arghavan Bahadorinejad, Mahdi Imani, Ulisses M. Braga-Neto
Adaptive Particle Filtering for Fault Detection in Partially-Observed Boolean Dynamical Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Mahdi Imani, Ulisses M. Braga-Neto
Point-Based Methodology to Monitor and Control Gene Regulatory Networks via Noisy Measurements. IEEE Trans. Control. Syst. Technol. 27 (3) (2019)
Mahdi Imani, Ulisses M. Braga-Neto
Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Seyede Fatemeh Ghoreishi, Mahdi Imani
Offline Fault Detection in Gene Regulatory Networks using Next-Generation Sequencing Data. ACSSC (2019)
Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas L. Allaire, Ulisses M. Braga-Neto
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models. AAAI (2019)
Mahdi Imani, Seyede Fatemeh Ghoreishi, Ulisses M. Braga-Neto
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments. NeurIPS (2018)
Mahdi Imani, Ulisses M. Braga-Neto
Particle filters for partially-observed Boolean dynamical systems. Autom. 87 (2018)
Ehsan Hajiramezanali, Mahdi Imani, Ulisses M. Braga-Neto, Xiaoning Qian, Edward R. Dougherty
Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty. BCB (2018)
Mahdi Imani, Roozbeh Dehghannasiri, Ulisses M. Braga-Neto, Edward R. Dougherty
Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty. CoRR (2018)
Mahdi Imani, Ulisses M. Braga-Neto
Finite-horizon LQR controller for partially-observed Boolean dynamical systems. Autom. 95 (2018)
Mahdi Imani, Ulisses M. Braga-Neto
Control of Gene Regulatory Networks With Noisy Measurements and Uncertain Inputs. IEEE Trans. Control. Netw. Syst. 5 (2) (2018)
Mahdi Imani, Ulisses M. Braga-Neto
Optimal Control of Gene Regulatory Networks with Unknown Cost Function. ACC (2018)
Mahdi Imani, Ulisses M. Braga-Neto
Gene regulatory network state estimation from arbitrary correlated measurements. EURASIP J. Adv. Signal Process. 2018 (2018)
Shuilian Xie, Mahdi Imani, Edward R. Dougherty, Ulisses M. Braga-Neto
Nonstationary linear discriminant analysis. ACSSC (2017)
Levi D. McClenny, Mahdi Imani, Ulisses M. Braga-Neto
Boolean Kalman Filter with correlated observation noise. ICASSP (2017)
Mahdi Imani, Ulisses M. Braga-Neto
Multiple Model Adaptive controller for Partially-Observed Boolean Dynamical Systems. ACC (2017)
Levi D. McClenny, Mahdi Imani, Ulisses M. Braga-Neto
BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems. BMC Bioinform. 18 (1) (2017)
Mahdi Imani, Ulisses M. Braga-Neto
Optimal finite-horizon sensor selection for Boolean Kalman Filter. ACSSC (2017)
Mahdi Imani, Ulisses M. Braga-Neto
Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems. IEEE Trans. Signal Process. 65 (2) (2017)
Mahdi Imani, Ulisses M. Braga-Neto
Control of Gene Regulatory Networks with Noisy Measurements and Uncertain Inputs. CoRR (2017)
Mahdi Imani, Ulisses M. Braga-Neto
State-feedback control of Partially-Observed Boolean Dynamical Systems using RNA-seq time series data. ACC (2016)
Mahdi Imani, Ulisses M. Braga-Neto
Point-based value iteration for partially-observed Boolean dynamical systems with finite observation space. CDC (2016)
Mahdi Imani, Ulisses M. Braga-Neto
Optimal gene regulatory network inference using the Boolean Kalman filter and multiple model adaptive estimation. ACSSC (2015)
Mahdi Imani, Ulisses M. Braga-Neto
Optimal state estimation for boolean dynamical systems using a boolean Kalman smoother. GlobalSIP (2015)