| 2026 | WACV | SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification. | Elifnur Sunger, Tales Imbiriba, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy |
| 2025 | AAAI | Learning Physics Informed Neural ODEs with Partial Measurements. | Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba, Alireza Ramezani, Zachary Danziger, Deniz Erdogmus |
| 2025 | AAAI | MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems. | Elifnur Sunger, Yunus Bicer, Deniz Erdogmus, Tales Imbiriba |
| 2025 | FUSION | Interpretable Augmented Physics-Based Model for Estimation and Tracking. | Ondrej Straka, Jindrich Dunk, Pau Closas, Tales Imbiriba |
| 2024 | ICLR | Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation. | Ashutosh Singh, Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba |
| 2023 | ACSSC | On the Impact of Sampling on Deep Sequential State Estimation. | Helena Calatrava, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas |
| 2023 | ICASSP | A Deep Disentangled Approach for Interpretable Hyperspectral Unmixing. | Ricardo Augusto Borsoi, Tales Imbiriba, Deniz Erdogmus |
| 2023 | ICASSP | Jamming Source Localization Using Augmented Physics-Based Model. | Andrea Nardin, Tales Imbiriba, Pau Closas |
| 2023 | ICASSP | Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data. | Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus |
| 2023 | ICASSP | Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models. | Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus |
| 2023 | ICASSP | On Parametric Misspecified Bayesian Cramr-Rao Bound: An Application to Linear/Gaussian Systems. | Shuo Tang, Gerald LaMountain, Tales Imbiriba, Pau Closas |
| 2023 | RO-MAN | Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers. | Kyle Lockwood, Garrit Strenge, Yunus Bicer, Tales Imbiriba, Mariusz P. Furmanek, Taskin Padir, Deniz Erdogmus, Eugene Tunik, Mathew Yarossi |
| 2022 | FUSION | Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. | Tales Imbiriba, Ahmet Demirkaya, Jindrich Dunk, Ondrej Straka, Deniz Erdogmus, Pau Closas |
| 2020 | FUSION | Enhancing Particle Filtering using Gaussian Processes. | Tales Imbiriba, Pau Closas |
| 2019 | ICASSP | Improved Hyperspectral Unmixing with Endmember Variability Parametrized Using an Interpolated Scaling Tensor. | Ricardo Augusto Borsoi, Tales Imbiriba, Jos Carlos Moreira Bermudez |
| 2018 | ICASSP | Generalized Linear Mixing Model Accounting for Endmember Variability. | Tales Imbiriba, Ricardo Augusto Borsoi, Jos Carlos Moreira Bermudez |
| 2014 | ICASSP | Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging. | Tales Imbiriba, Jos C. M. Bermudez, Jean-Yves Tourneret, Cdric Richard |