Marzieh Ajirak

22 papers C 1Misc 4Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring synergies: Advancing neuroscience with machine learning. Signal Process. Marzieh Ajirak, Tülay Adali, Saeid Sanei, Logan Grosenick, Petar M. Djuric
2025	J	`jnl`	Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction. CoRR Marzieh Ajirak, Oded Bein, Ellen Rose Bowen, Dora Kanellopoulos, Avital Falk, Faith M. Gunning, Nili Solomonov, Logan Grosenick
2025	—	`conf`	Uncertainty Quantification in Probabilistic Machine Learning Models: Theory, Methods, and Insights. EUSIPCO Marzieh Ajirak, Anand Ravishankar, Petar M. Djuric
2025	J	`jnl`	Uncertainty Quantification in Probabilistic Machine Learning Models: Theory, Methods, and Insights. CoRR Marzieh Ajirak, Anand Ravishankar, Petar M. Djuric
2024	—	`conf`	Discrete Representation Learning for Multivariate Time Series. EUSIPCO Marzieh Ajirak, Immanuel Elbau, Nili Solomonov, Logan Grosenick
2024	C	`conf`	Filtering of High-Dimensional Data for Sequential Classification. FUSION Marzieh Ajirak, Yuhao Liu, Petar M. Djuric
2024	J	`jnl`	Fusion of Gaussian Processes Predictions with Monte Carlo Sampling. CoRR Marzieh Ajirak, Daniel Waxman, Fernando Llorente, Petar M. Djuric
2024	J	`jnl`	Gaussian Process-Gated Hierarchical Mixtures of Experts. IEEE Trans. Pattern Anal. Mach. Intell. Yuhao Liu, Marzieh Ajirak, Petar M. Djuric
2023	Misc	`conf`	A Gaussian Latent Variable Model for Incomplete Mixed Type Data. ICASSP Marzieh Ajirak, Petar M. Djuric
2023	Misc	`conf`	Estimation of Time-Varying Graph Topologies from Graph Signals. ICASSP Yuhao Liu, Chen Cui, Marzieh Ajirak, Petar M. Djuric
2023	Misc	`conf`	FUSION OF GAUSSIAN PROCESSES PREDICTIONS WITH MONTE CARLO SAMPLING. ACSSC Marzieh Ajirak, Daniel Waxman, Fernando Llorente, Petar M. Djuric
2023	J	`jnl`	Gaussian Process-Gated Hierarchical Mixtures of Experts. CoRR Yuhao Liu, Marzieh Ajirak, Petar M. Djuric
2023	—	`conf`	Learning from Heterogeneous Data with Deep Gaussian Processes. CAMSAP Marzieh Ajirak, Heidi Preis, Marci Lobel, Petar M. Djuric
2023	J	`jnl`	Sequential Estimation of Gaussian Process-Based Deep State-Space Models. IEEE Trans. Signal Process. Yuhao Liu, Marzieh Ajirak, Petar M. Djuric
2023	J	`jnl`	Sequential Estimation of Gaussian Process-based Deep State-Space Models. CoRR Yuhao Liu, Marzieh Ajirak, Petar M. Djuric
2022	Misc	`conf`	Boost Ensemble Learning for Classification of CTG SIGNALS. ICASSP Marzieh Ajirak, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric
2022	—	`conf`	Ensembles of Gaussian process latent variable models. EUSIPCO Marzieh Ajirak, Yuhao Liu, Petar M. Djuric
2022	—	`conf`	Inference with Deep Gaussian Process State Space Models. EUSIPCO Yuhao Liu, Marzieh Ajirak, Petar M. Djuric
2021	—	`conf`	Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women. EUSIPCO Marzieh Ajirak, Cassandra Heiselman, Anna Fuchs, Mia Heiligenstein, Kimberly Herrera, Diana Garretto, Petar M. Djuric
2021	—	`conf`	Unsupervised Detection of Anomalies in Fetal Heart Rate Tracings using Phase Space Reconstruction. EUSIPCO Liu Yang, Marzieh Ajirak, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric
2020	J	`jnl`	GP-LVM of categorical data from test-positive COVID-19 pregnant women. CoRR Marzieh Ajirak, Cassandra Heiselman, Anna Fuchs, Mia Heiligenstein, Kimberly Herrera, Diana Garretto, Petar M. Djuric
2017	J	`jnl`	Optimal power allocation for relay-based cooperative communication systems with energy harvesting. Trans. Emerg. Telecommun. Technol. Marzieh Ajirak, Mohammad Javad Omidi, Hamid Saeedi-Sourck, Arin Minasian