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Gholamali Aminian
Gholamali Aminian
Research Associate, The Alan Turing Institute
Verified email at turing.ac.uk
Title
Cited by
Cited by
Year
Capacity of diffusion-based molecular communication networks over LTI-Poisson channels
G Aminian, H Arjmandi, A Gohari, M Nasiri-Kenari, U Mitra
IEEE Transactions on Molecular, Biological and Multi-Scale Communications 1 …, 2015
682015
On the capacity of point-to-point and multiple-access molecular communications with ligand-receptors
G Aminian, M Farahnak-Ghazani, M Mirmohseni, M Nasiri-Kenari, F Fekri
IEEE Transactions on Molecular, Biological and Multi-Scale Communications 1 …, 2015
502015
An exact characterization of the generalization error for the Gibbs algorithm
G Aminian, Y Bu, L Toni, M Rodrigues, G Wornell
Advances in Neural Information Processing Systems 34, 8106-8118, 2021
412021
Jensen-Shannon information based characterization of the generalization error of learning algorithms
G Aminian, L Toni, MRD Rodrigues
2020 IEEE Information Theory Workshop (ITW), 1-5, 2021
282021
On medium chemical reaction in diffusion-based molecular communication: A two-way relaying example
M Farahnak-Ghazani, G Aminian, M Mirmohseni, A Gohari, ...
IEEE Transactions on Communications 67 (2), 1117-1132, 2018
252018
An information-theoretical approach to semi-supervised learning under covariate-shift
G Aminian, M Abroshan, MM Khalili, L Toni, M Rodrigues
International Conference on Artificial Intelligence and Statistics, 7433-7449, 2022
202022
Diffusion-based molecular communication with limited molecule production rate
HG Bafghi, A Gohari, M Mirmohseni, G Aminian, M Nasiri-Kenari
IEEE Transactions on Molecular, Biological and Multi-Scale Communications 4 …, 2018
202018
On the capacity of a class of signal-dependent noise channels
H Ghourchian, G Aminian, A Gohari, M Mirmohseni, M Nasiri-Kenari
IEEE Transactions on Information Theory 64 (12), 7828-7846, 2018
17*2018
Information-theoretic bounds on the moments of the generalization error of learning algorithms
G Aminian, L Toni, MRD Rodrigues
2021 IEEE International Symposium on Information Theory (ISIT), 682-687, 2021
152021
Physical layer network coding in molecular two-way relay networks
MF Ghazani, G Aminian, M Mirmohseni, A Gohari, MN Kenari
2016 Iran Workshop on Communication and Information Theory (IWCIT), 1-6, 2016
152016
Tighter expected generalization error bounds via convexity of information measures
G Aminian, Y Bu, GW Wornell, MRD Rodrigues
2022 IEEE International Symposium on Information Theory (ISIT), 2481-2486, 2022
132022
Characterizing and understanding the generalization error of transfer learning with gibbs algorithm
Y Bu, G Aminian, L Toni, GW Wornell, M Rodrigues
International Conference on Artificial Intelligence and Statistics, 8673-8699, 2022
122022
Capacity of LTI-poisson channel for diffusion based molecular communication
G Aminian, H Arjmandi, A Gohari, MN Kenari, U Mitra
2015 IEEE International Conference on Communications (ICC), 1060-1065, 2015
122015
Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm
G Aminian, Y Bu, L Toni, MRD Rodrigues, GW Wornell
IEEE Transactions on Information Theory, 2023, 2022
62022
Characterizing the generalization error of Gibbs algorithm with symmetrized KL information
G Aminian, Y Bu, L Toni, MRD Rodrigues, G Wornell
ICML-21 Workshop on Information-Theoretic Methods for Rig- orous …, 2021
52021
How does pseudo-labeling affect the generalization error of the semi-supervised Gibbs algorithm?
H He, G Aminian, Y Bu, M Rodrigues, VYF Tan
International Conference on Artificial Intelligence and Statistics, 8494-8520, 2023
32023
Learning algorithm generalization error bounds via auxiliary distributions
G Aminian, S Masiha, L Toni, MRD Rodrigues
arXiv preprint arXiv:2210.00483, 2022
32022
On the generalization error of meta learning for the Gibbs algorithm
Y Bu, HV Tetali, G Aminian, M Rodrigues, G Wornell
2023 IEEE International Symposium on Information Theory (ISIT), 2488-2493, 2023
22023
Mean-field analysis of generalization errors
G Aminian, SN Cohen, Ł Szpruch
arXiv preprint arXiv:2306.11623, 2023
22023
Generalization Error of Graph Neural Networks in the Mean-field Regime
G Aminian, Y He, G Reinert, Ł Szpruch, SN Cohen
arXiv preprint arXiv:2402.07025, 2024
2024
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Articles 1–20