Gholamali Aminian
Orcid: 0000-0002-1108-492X
According to our database1,
Gholamali Aminian
authored at least 33 papers
between 2015 and 2024.
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Bibliography
2024
Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm.
IEEE Trans. Inf. Theory, January, 2024
IEEE J. Sel. Areas Inf. Theory, 2024
An Algorithm for Computing the Capacity of Symmetrized KL Information for Discrete Channels.
CoRR, 2024
Proceedings of the IEEE International Symposium on Information Theory, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
2023
On Neural Networks Fitting, Compression, and Generalization Behavior via Information-Bottleneck-like Approaches.
Entropy, July, 2023
Proceedings of the IEEE International Symposium on Information Theory, 2023
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
CoRR, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Toward Minimal-Sufficiency in Regression Tasks: An Approach Based on a Variational Estimation Bottleneck.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2021
2020
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms.
Proceedings of the IEEE Information Theory Workshop, 2020
2019
On Medium Chemical Reaction in Diffusion-Based Molecular Communication: A Two-Way Relaying Example.
IEEE Trans. Commun., 2019
2018
IEEE Trans. Mol. Biol. Multi Scale Commun., 2018
IEEE Trans. Inf. Theory, 2018
2017
Proceedings of the Iran Workshop on Communication and Information Theory, 2017
2016
Proceedings of the Iran Workshop on Communication and Information Theory, 2016
2015
On the Capacity of Point-to-Point and Multiple-Access Molecular Communications With Ligand-Receptors.
IEEE Trans. Mol. Biol. Multi Scale Commun., 2015
Capacity of Diffusion-Based Molecular Communication Networks Over LTI-Poisson Channels.
IEEE Trans. Mol. Biol. Multi Scale Commun., 2015
On the Capacity of Level and Type Modulation in Molecular Communication with Ligand Receptors.
CoRR, 2015
On the capacity of level and type modulations in Molecular communication with ligand receptors.
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the 2015 IEEE International Conference on Communications, 2015