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ORCIDGholamali Aminian
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2020 – today
- 2024
[j8]Gholamali Aminian
, Mohammad Saeed Masiha, Laura Toni, Miguel R. D. Rodrigues:
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. IEEE J. Sel. Areas Inf. Theory 5: 273-284 (2024)- [j7]Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm. IEEE Trans. Inf. Theory 70(1): 632-655 (2024) - [c18]Gholamali Aminian, Amirhossein Bagheri, Radmehr Karimian, Mahyar JafariNodeh, Mohammad Hossein Yassaee:
Semi-supervised Learning under Self-training via $f$-Divergence. Tiny Papers @ ICLR 2024 - [c17]Mohammad Taha Teimuri Jervakani, Zahra Dehghanian, Gholamali Aminian, Hamid R. Rabiee:
KLCE: Regularized Imbalance Node-classification Via KL-divergence and Cross-Entropy. Tiny Papers @ ICLR 2024 - [c16]Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues:
Synthetic Labeling: A Novel Approach to Advancing Few-Shot Learning. Tiny Papers @ ICLR 2024 - [c15]Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen:
Generalization Error of Graph Neural Networks in the Mean-field Regime. ICML 2024 - [c14]Gholamali Aminian, Amirhossien Bagheri, Mahyar JafariNodeh, Radmehr Karimian, Mohammad Hossein Yassaee:
Robust Semi-supervised Learning via f-Divergence and α- Renyi Divergence. ISIT 2024: 1842-1847 - [i21]Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen:
Generalization Error of Graph Neural Networks in the Mean-field Regime. CoRR abs/2402.07025 (2024) - [i20]Gholamali Aminian, Amirhossien Bagheri, Mahyar JafariNodeh, Radmehr Karimian, Mohammad Hossein Yassaee:
Robust Semi-supervised Learning via f-Divergence and α-Rényi Divergence. CoRR abs/2405.00454 (2024) - [i19]Haobo Chen, Gholamali Aminian, Yuheng Bu:
An Algorithm for Computing the Capacity of Symmetrized KL Information for Discrete Channels. CoRR abs/2407.13436 (2024) - [i18]Gholamali Aminian, Amir R. Asadi, Tian Li, Ahmad Beirami, Gesine Reinert, Samuel N. Cohen:
Generalization Error of the Tilted Empirical Risk. CoRR abs/2409.19431 (2024) - 2023
- [j6]Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues:
On Neural Networks Fitting, Compression, and Generalization Behavior via Information-Bottleneck-like Approaches. Entropy 25(7): 1063 (2023) - [c13]Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan:
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? AISTATS 2023: 8494-8520 - [c12]Yuheng Bu, Harsha Vardhan Tetali, Gholamali Aminian, Miguel R. D. Rodrigues, Gregory W. Wornell:
On the Generalization Error of Meta Learning for the Gibbs Algorithm. ISIT 2023: 2488-2493 - [i17]Yuheng Bu, Harsha Vardhan Tetali, Gholamali Aminian, Miguel R. D. Rodrigues, Gregory W. Wornell:
On the Generalization Error of Meta Learning for the Gibbs Algorithm. CoRR abs/2304.14332 (2023) - [i16]Gholamali Aminian, Samuel N. Cohen, Lukasz Szpruch:
Mean-field Analysis of Generalization Errors. CoRR abs/2306.11623 (2023) - 2022
- [c11]Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues:
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. AISTATS 2022: 7433-7449 - [c10]Yuheng Bu, Gholamali Aminian, Laura Toni, Gregory W. Wornell, Miguel R. D. Rodrigues:
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. AISTATS 2022: 8673-8699 - [c9]Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues:
Tighter Expected Generalization Error Bounds via Convexity of Information Measures. ISIT 2022: 2481-2486 - [i15]Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues:
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. CoRR abs/2202.12123 (2022) - [i14]Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues:
Tighter Expected Generalization Error Bounds via Convexity of Information Measures. CoRR abs/2202.12150 (2022) - [i13]Gholamali Aminian, Roberto Vega, Omar Rivasplata, Laura Toni, Miguel R. D. Rodrigues:
Semi-Counterfactual Risk Minimization Via Neural Networks. CoRR abs/2209.07148 (2022) - [i12]Gholamali Aminian, Saeed Masiha, Laura Toni, Miguel R. D. Rodrigues:
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. CoRR abs/2210.00483 (2022) - [i11]Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan:
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? CoRR abs/2210.08188 (2022) - [i10]Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm. CoRR abs/2210.09864 (2022) - 2021
- [c8]Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues:
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms. ISIT 2021: 682-687 - [c7]Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues:
Toward Minimal-Sufficiency in Regression Tasks: An Approach Based on a Variational Estimation Bottleneck. MLSP 2021: 1-6 - [c6]Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
An Exact Characterization of the Generalization Error for the Gibbs Algorithm. NeurIPS 2021: 8106-8118 - [i9]Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues:
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms. CoRR abs/2102.02016 (2021) - [i8]Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information. CoRR abs/2107.13656 (2021) - [i7]Yuheng Bu, Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. CoRR abs/2111.01635 (2021) - 2020
- [c5]Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues:
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms. ITW 2020: 1-5 - [i6]Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues:
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms. CoRR abs/2010.12664 (2020)
2010 – 2019
- 2019
- [j5]Maryam Farahnak-Ghazani, Gholamali Aminian, Mahtab Mirmohseni, Amin Gohari, Masoumeh Nasiri-Kenari:
On Medium Chemical Reaction in Diffusion-Based Molecular Communication: A Two-Way Relaying Example. IEEE Trans. Commun. 67(2): 1117-1132 (2019) - 2018
- [j4]Hamid Ghourchian, Gholamali Aminian, Amin Gohari, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari:
On the Capacity of a Class of Signal-Dependent Noise Channels. IEEE Trans. Inf. Theory 64(12): 7828-7846 (2018) - [j3]Hamid G. Bafghi, Amin Gohari, Mahtab Mirmohseni, Gholamali Aminian, Masoumeh Nasiri-Kenari:
Diffusion-Based Molecular Communication With Limited Molecule Production Rate. IEEE Trans. Mol. Biol. Multi Scale Commun. 4(2): 61-72 (2018) - 2017
- [c4]Gholamali Aminian, Hamid Ghourchian, Amin Gohari, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari:
On the capacity of signal dependent noise channels. IWCIT 2017: 1-6 - [i5]Hamid Ghourchian, Gholamali Aminian, Amin Gohari, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari:
On the Capacity of Signal Dependent Noise Channels. CoRR abs/1702.03590 (2017) - 2016
- [c3]Maryam Farahnak-Ghazani, Gholamali Aminian, Mahtab Mirmohseni, Amin Gohari, Masoumeh Nasiri-Kenari:
Physical layer network coding in molecular two-way relay networks. IWCIT 2016: 1-6 - [i4]Maryam Farahnak-Ghazani, Gholamali Aminian, Mahtab Mirmohseni, Amin Gohari, Masoumeh Nasiri-Kenari:
Physical Layer Network Coding in Molecular Two-Way Relay Networks. CoRR abs/1604.05680 (2016) - 2015
- [j2]Gholamali Aminian, Hamidreza Arjmandi, Amin Gohari, Masoumeh Nasiri-Kenari, Urbashi Mitra:
Capacity of Diffusion-Based Molecular Communication Networks Over LTI-Poisson Channels. IEEE Trans. Mol. Biol. Multi Scale Commun. 1(2): 188-201 (2015) - [j1]Gholamali Aminian, Maryam Farahnak-Ghazani, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari, Faramarz Fekri:
On the Capacity of Point-to-Point and Multiple-Access Molecular Communications With Ligand-Receptors. IEEE Trans. Mol. Biol. Multi Scale Commun. 1(4): 331-346 (2015) - [c2]Gholamali Aminian, Hamidreza Arjmandi, Amin Gohari, Masoumeh Nasiri-Kenari, Urbashi Mitra:
Capacity of LTI-Poisson channel for diffusion based molecular communication. ICC 2015: 1060-1065 - [c1]Gholamali Aminian, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari, Faramarz Fekri:
On the capacity of level and type modulations in Molecular communication with ligand receptors. ISIT 2015: 1951-1955 - [i3]Gholamali Aminian, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari, Faramarz Fekri:
On the Capacity of Level and Type Modulation in Molecular Communication with Ligand Receptors. CoRR abs/1504.04322 (2015) - [i2]Gholamali Aminian, Maryam Farahnak-Ghazani, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari, Faramarz Fekri:
On the Capacity of Point-to-Point and Multiple-Access Molecular Communications with Ligand-Receptors. CoRR abs/1509.05877 (2015) - 2014
- [i1]Hamidreza Arjmandi, Gholamali Aminian, Amin Gohari, Masoumeh Nasiri-Kenari, Urbashi Mitra:
Capacity of Diffusion based Molecular Communication Networks over LTI-Poisson Channels. CoRR abs/1410.3988 (2014)
Coauthor Index
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