| 2025 | ACSSC | Extracting Two-Dimensional Signal Correlation Maps via Gaussian Process Regression with Zernike Means. | Sahar Khosravi, Peter Jendrichovsky, Katherine Maximov, Patrick O. Kanold, Behtash Babadi |
| 2024 | ACSSC | Variational Covariance Smoothing for Dynamic Functional Connectivity Analysis. | Ruwanthi Abeysekara, Jonathan Z. Simon, Behtash Babadi |
| 2024 | ACSSC | An Instrumental Variable Approach to Functional Network Discovery from Optogenetic Experiments. | S. Pardis Hajiseyedrazi, Behtash Babadi |
| 2024 | ICASSP | Reinforcement Learning-Guided Optogenetic Stimulation Policies for Robust Functional Network Discovery. | Shoutik Mukherjee, Peter Jendrichovksy, Patrick O. Kanold, Behtash Babadi |
| 2023 | ACSSC | Information-Theoretic Limits on the Performance of Auditory Attention Decoders. | Ruwanthi Abeysekara, Christopher J. Smalt, I. M. Dushyanthi Karunathilake, Jonathan Z. Simon, Behtash Babadi |
| 2022 | ACSSC | Granger Causal Inference from Spiking Observations via Latent Variable Modeling. | Sahar Khosravi, Anuththara Rupasinghe, Behtash Babadi |
| 2020 | ACSSC | Adaptive Frequency-domain Granger Causal Inference from Neuronal Ensemble Data. | Anuththara Rupasinghe, Shoutik Mukherjee, Behtash Babadi |
| 2020 | CISS | Robust Inference of Neuronal Correlations from Blurred and Noisy Spiking Observations. | Anuththara Rupasinghe, Behtash Babadi |
| 2020 | CISS | Granger Causal Inference from Indirect Low-Dimensional Measurements with Application to MEG Functional Connectivity Analysis. | Behrad Soleimani, Proloy Das, Joshua Kulasingham, Jonathan Z. Simon, Behtash Babadi |
| 2019 | ACSSC | A Statistical Approach to Dynamic Synchrony Analysis of Neuronal Ensemble Spiking. | Shoutik Mukherjee, Behtash Babadi |
| 2018 | ACSSC | Cortical Localization of the Auditory Temporal Response Function from MEG via Non-convex Optimization. | Proloy Das, Christian Brodbeck, Jonathan Z. Simon, Behtash Babadi |
| 2017 | ACSSC | Multiplicative updates for optimization problems with dynamics. | Abbas Kazemipour, Behtash Babadi, Min Wu, Kaspar Podgorski, Shaul Druckmann |
| 2017 | ACSSC | An autoregressive approach to inference in populations of correlated stochastic neurons. | Alireza Sheikhattar, Siamak K. Sorooshyari, Behtash Babadi |
| 2017 | ICASSP | Sparse spectral estimation from point process observations. | Sina Miran, Patrick L. Purdon, Emery N. Brown, Behtash Babadi |
| 2016 | ACSSC | Probing the functional circuitry underlying auditory attention via dynamic granger causality analysis. | Alireza Sheikhattar, Sina Miran, Jonathan B. Fritz, Shihab A. Shamma, Behtash Babadi |
| 2016 | CISS | Sufficient conditions for stable recovery of sparse autoregressive models. | Abbas Kazemipour, Behtash Babadi, Min Wu |
| 2016 | CISS | Dynamic estimation of causal influences in sparsely-interacting neuronal ensembles. | Alireza Sheikhattar, Behtash Babadi |
| 2015 | ACSSC | Adaptive sparse logistic regression with application to neuronal plasticity analysis. | Alireza Sheikhattar, Jonathan B. Fritz, Shihab A. Shamma, Behtash Babadi |
| 2014 | ACSSC | Neural spike train denoising by point process re-weighted iterative smoothing. | Demba E. Ba, Behtash Babadi, Patrick L. Purdon, Emery N. Brown |
| 2010 | CISS | Random frames from binary linear block codes. | Behtash Babadi, Vahid Tarokh |
| 2010 | ICASSP | An Adaptive Greedy Algorithm with Application to Sparse Narma Identification. | Gerasimos Mileounis, Behtash Babadi, Nicholas Kalouptsidis, Vahid Tarokh |
| 2008 | CISS | A distributed asynchronous algorithm for spectrum sharing in wireless ad hoc networks. | Behtash Babadi, Vahid Tarokh |