| 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 | 83* | 2015 |
| 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 | 54 | 2021 |
| 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 | 52* | 2015 |
| 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 | 32 | 2022 |
| 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 | 30 | 2021 |
| 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 | 27 | 2018 |
| 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 …, 2019 | 23 | 2019 |
| 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 | 20 | 2021 |
| 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 | 19 | 2022 |
| 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 | 17 | 2022 |
| 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 |
| 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 | 15 | 2016 |
| 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 | 14 | 2022 |
| Learning algorithm generalization error bounds via auxiliary distributions G Aminian, S Masiha, L Toni, MRD Rodrigues IEEE Journal on Selected Areas in Information Theory, 2024 | 6 | 2024 |
| 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 | 5 | 2023 |
| 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 | 4 | 2023 |
| Mean-field analysis of generalization errors G Aminian, SN Cohen, Ł Szpruch arXiv preprint arXiv:2306.11623, 2023 | 4 | 2023 |
| 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 | 3 | 2024 |
| Understanding Transfer Learning via Mean-field Analysis G Aminian, Ł Szpruch, SN Cohen arXiv preprint arXiv:2410.17128, 2024 | 1 | 2024 |
| Generalization error of the tilted empirical risk G Aminian, AR Asadi, T Li, A Beirami, G Reinert, SN Cohen arXiv preprint arXiv:2409.19431, 2024 | 1 | 2024 |
Miguel RodriguesProfessor of Information Theory and Processing, University College LondonBestätigte E-Mail-Adresse bei ucl.ac.uk
