Research output per year
Research output per year
- 16 results
Search results
-
2024
Audio xLSTMs: Learning Self-Supervised Audio Representations with xLSTMs
Yadav, S., Theodoridis, S. & Tan, Z.-H., 29 Aug 2024.Research output: Working paper/Preprint › Preprint
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Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners
Yadav, S., Theodoridis, S., Hansen, L. K. & Tan, Z.-H., Jan 2024, The Twelfth International Conference on Learning Representations.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
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2023
Interpretable Nonnegative Incoherent Deep Dictionary Learning for FMRI Data Analysis
Morante, M., Østergaard, J. & Theodoridis, S., 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. IEEE Signal Processing Society, 5 p. 10095297. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 2023-June).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
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Machine learning
Mendonça, M. O. K., Netto, S. L., Diniz, P. S. R. & Theodoridis, S., 1 Jan 2023, Signal Processing and Machine Learning Theory. Elsevier, p. 869-959 91 p.Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review
8 Citations (Scopus) -
Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners
Yadav, S., Theodoridis, S., Hansen, L. K. & Tan, Z.-H., 1 Jun 2023, arXiv, 17 p.Research output: Working paper/Preprint › Preprint
Open AccessFile181 Downloads (Pure) -
Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training
Li, Y., Cheng, L., Yin, F., Zhang, M. M. & Theodoridis, S., 2023, 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
1 Citation (Scopus) -
2022
A Stimuli-Relevant Directed Dependency Index for Time Series
Baboukani, P. S., Theodoridis, S. & Østergaard, J., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. IEEE Signal Processing Society, p. 5812-5816 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 2022-May).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
1 Citation (Scopus) -
Bayesian Photonic Accelerators for Energy Efficient and Noise Robust Neural Processing
Sarantoglou, G., Bogris, A., Mesaritakis, C. & Theodoridis, S., 2022, In: IEEE Journal of Selected Topics in Quantum Electronics. 28, 6, 6100710.Research output: Contribution to journal › Journal article › Research › peer-review
6 Citations (Scopus) -
Bayesian Training in Photonic Neural Meshes
Mesaritakis, C., Sarantoglou, G., Theodoridis, S. & Bogris, A., 2022, 2022 IEEE Workshop on Complexity in Engineering, COMPENG 2022. IEEE Signal Processing Society, (2022 IEEE Workshop on Complexity in Engineering, COMPENG 2022).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
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Early soft and flexible fusion of electroencephalography and functional magnetic resonance imaging via double coupled matrix tensor factorization for multisubject group analysis
Chatzichristos, C., Kofidis, E., Paesschen, W. V., De Lathauwer, L., Theodoridis, S. & Van Huffel , S., Mar 2022, In: Human Brain Mapping. 43, 4, p. 1231-1255 25 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile10 Citations (Scopus)71 Downloads (Pure) -
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling
Cheng, L., Yin, F., Theodoridis, S., Chatzis, S. & Chang, T.-H., Nov 2022, In: I E E E - Signal Processing Magazine. 39, 6, p. 18-52 35 p.Research output: Contribution to journal › Journal article › Research › peer-review
79 Citations (Scopus) -
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior
Cheng, L., Chen, Z., Shi, Q., Wu, Y.-C. & Theodoridis, S., 1 Apr 2022, In: I E E E Transactions on Signal Processing. 70, p. 1834-1849 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile25 Citations (Scopus)44 Downloads (Pure) -
2021
Dialog Speech Sentiment Classification for Imbalanced Datasets
Nicolaou, S., Mavrides, L., Tryfou, G., Tolias, K., Panousis, K., Chatzis, S. & Theodoridis, S., 2021, Speech and Computer - 23rd International Conference, SPECOM 2021, Proceedings. Karpov, A. & Potapova, R. (eds.). Springer, p. 460-471 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12997 LNAI).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
1 Citation (Scopus) -
Enhanced design matrix for task-related fMRI data analysis
Morante, M., Kopsinis, Y., Chatzichristos, C., Protopapas, A. & Theodoridis, S., 15 Dec 2021, In: NeuroImage. 245, 19 p., 118719.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)74 Downloads (Pure) -
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
P. Panousis, K., Alexos, A., Theodoridis, S. & Chatzis, S., 2021, In: The Proceedings of Machine Learning Research. 130, 11 p.Research output: Contribution to journal › Conference article in Journal › Research › peer-review
Open AccessFile4 Citations (Scopus)17 Downloads (Pure) -
Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition
Panousis, K. P., Chatzis, S. & Theodoridis, S., 2021, Advances in Visual Computing - 16th International Symposium, ISVC 2021, Proceedings. Bebis, G., Athitsos, V., Yan, T., Lau, M., Li, F., Shi, C., Yuan, X., Mousas, C. & Bruder, G. (eds.). Springer, p. 67-80 14 p. (Lecture Notes in Computer Science, Vol. 13018 LNCS).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
1 Citation (Scopus)