Capacity of LTI-Poisson channel for diffusion based molecular communication. - Gholamali Aminian; Hamidreza Arjmandi; Amin Gohari; Masoumeh Nasiri-Kenari; Urbashi Mitra (ICC, 2015)

On the capacity of level and type modulations in Molecular communication with ligand receptors. - Gholamali Aminian; Mahtab Mirmohseni; Masoumeh Nasiri-Kenari; Faramarz Fekri (ISIT, 2015)

On the Capacity of Level and Type Modulation in Molecular Communication with Ligand Receptors. - Gholamali Aminian; Mahtab Mirmohseni; Masoumeh Nasiri-Kenari; Faramarz Fekri (CoRR, 2015)

Capacity of Diffusion-Based Molecular Communication Networks Over LTI-Poisson Channels. - Gholamali Aminian; Hamidreza Arjmandi; Amin Gohari; Masoumeh Nasiri-Kenari; Urbashi Mitra (IEEE Trans. Mol. Biol. Multi Scale Commun., 2015)

On the Capacity of Point-to-Point and Multiple-Access Molecular Communications With Ligand-Receptors. - Gholamali Aminian; Maryam Farahnak-Ghazani; Mahtab Mirmohseni; Masoumeh Nasiri-Kenari; Faramarz Fekri (IEEE Trans. Mol. Biol. Multi Scale Commun., 2015)

Physical layer network coding in molecular two-way relay networks. - Maryam Farahnak-Ghazani; Gholamali Aminian; Mahtab Mirmohseni; Amin Gohari; Masoumeh Nasiri-Kenari (IWCIT, 2016)

On the capacity of signal dependent noise channels. - Gholamali Aminian; Hamid Ghourchian; Amin Gohari; Mahtab Mirmohseni; Masoumeh Nasiri-Kenari (IWCIT, 2017)

On the Capacity of a Class of Signal-Dependent Noise Channels. - Hamid Ghourchian; Gholamali Aminian; Amin Gohari; Mahtab Mirmohseni; Masoumeh Nasiri-Kenari (IEEE Trans. Inf. Theory, 2018)

Diffusion-Based Molecular Communication With Limited Molecule Production Rate. - Hamid G. Bafghi; Amin Gohari; Mahtab Mirmohseni; Gholamali Aminian; Masoumeh Nasiri-Kenari (IEEE Trans. Mol. Biol. Multi Scale Commun., 2018)

On Medium Chemical Reaction in Diffusion-Based Molecular Communication: A Two-Way Relaying Example. - Maryam Farahnak-Ghazani; Gholamali Aminian; Mahtab Mirmohseni; Amin Gohari; Masoumeh Nasiri-Kenari (IEEE Trans. Commun., 2019)

Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms. - Gholamali Aminian; Laura Toni; Miguel R. D. Rodrigues (ITW, 2020)

Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms. - Gholamali Aminian; Laura Toni; Miguel R. D. Rodrigues (ISIT, 2021)

Toward Minimal-Sufficiency in Regression Tasks: An Approach Based on a Variational Estimation Bottleneck. - Zhaoyan Lyu; Gholamali Aminian; Miguel R. D. Rodrigues (MLSP, 2021)

An Exact Characterization of the Generalization Error for the Gibbs Algorithm. - Gholamali Aminian; Yuheng Bu; Laura Toni; Miguel R. D. Rodrigues; Gregory W. Wornell (NeurIPS, 2021)

Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information. - Gholamali Aminian; Yuheng Bu; Laura Toni; Miguel R. D. Rodrigues; Gregory W. Wornell (CoRR, 2021)

An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. - Gholamali Aminian; Mahed Abroshan; Mohammad Mahdi Khalili; Laura Toni; Miguel R. D. Rodrigues (AISTATS, 2022)

Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. - Yuheng Bu; Gholamali Aminian; Laura Toni; Gregory W. Wornell; Miguel R. D. Rodrigues (AISTATS, 2022)

Tighter Expected Generalization Error Bounds via Convexity of Information Measures. - Gholamali Aminian; Yuheng Bu; Gregory W. Wornell; Miguel R. D. Rodrigues (ISIT, 2022)

Semi-Counterfactual Risk Minimization Via Neural Networks. - Gholamali Aminian; Roberto Vega; Omar Rivasplata; Laura Toni; Miguel R. D. Rodrigues (CoRR, 2022)

Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. - Gholamali Aminian; Saeed Masiha; Laura Toni; Miguel R. D. Rodrigues (CoRR, 2022)

How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? - Haiyun He; Gholamali Aminian; Yuheng Bu; Miguel R. D. Rodrigues; Vincent Y. F. Tan (AISTATS, 2023)

On the Generalization Error of Meta Learning for the Gibbs Algorithm. - Yuheng Bu; Harsha Vardhan Tetali; Gholamali Aminian; Miguel R. D. Rodrigues; Gregory W. Wornell (ISIT, 2023)

Mean-field Analysis of Generalization Errors. - Gholamali Aminian; Samuel N. Cohen; Lukasz Szpruch (CoRR, 2023)

On Neural Networks Fitting, Compression, and Generalization Behavior via Information-Bottleneck-like Approaches. - Zhaoyan Lyu; Gholamali Aminian; Miguel R. D. Rodrigues (Entropy, 2023)

An Algorithm for Computing the Capacity of Symmetrized KL Information for Discrete Channels. - Haobo Chen; Gholamali Aminian; Yuheng Bu (Allerton, 2024)

Semi-supervised Learning under Self-training via $f$-Divergence. - Gholamali Aminian; Amirhossein Bagheri; Radmehr Karimian; Mahyar JafariNodeh; Mohammad Hossein Yassaee (Tiny Papers @ ICLR, 2024)

KLCE: Regularized Imbalance Node-classification Via KL-divergence and Cross-Entropy. - Mohammad Taha Teimuri Jervakani; Zahra Dehghanian; Gholamali Aminian; Hamid R. Rabiee (Tiny Papers @ ICLR, 2024)

Synthetic Labeling: A Novel Approach to Advancing Few-Shot Learning. - Zhaoyan Lyu; Gholamali Aminian; Miguel R. D. Rodrigues (Tiny Papers @ ICLR, 2024)

Generalization Error of Graph Neural Networks in the Mean-field Regime. - Gholamali Aminian; Yixuan He; Gesine Reinert; Lukasz Szpruch; Samuel N. Cohen (ICML, 2024)

Robust Semi-supervised Learning via f-Divergence and α- Renyi Divergence. - Gholamali Aminian; Amirhossien Bagheri; Mahyar JafariNodeh; Radmehr Karimian; Mohammad Hossein Yassaee (ISIT, 2024)

Generalization Error of the Tilted Empirical Risk. - Gholamali Aminian; Amir R. Asadi; Tian Li; Ahmad Beirami; Gesine Reinert; Samuel N. Cohen (CoRR, 2024)

Understanding Transfer Learning via Mean-field Analysis. - Gholamali Aminian; Lukasz Szpruch; Samuel N. Cohen (CoRR, 2024)

Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. - Gholamali Aminian; Mohammad Saeed Masiha; Laura Toni; Miguel R. D. Rodrigues (IEEE J. Sel. Areas Inf. Theory, 2024)

Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm. - Gholamali Aminian; Yuheng Bu; Laura Toni; Miguel R. D. Rodrigues; Gregory W. Wornell (IEEE Trans. Inf. Theory, 2024)

UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification. - Mohammad Taha Teimuri Jervakani; Zahra Dehghanian; Gholamali Aminian; Hamid R. Rabiee (CoRR, 2025)

Theoretical Analysis of KL-regularized RLHF with Multiple Reference Models. - Gholamali Aminian; Amir R. Asadi; Idan Shenfeld; Youssef Mroueh (CoRR, 2025)

Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance. - Leoni Carla Wirth; Gholamali Aminian; Gesine Reinert (CoRR, 2025)

Generalization Error of f-Divergence Stabilized Algorithms via Duality. - Francisco Daunas; Iñaki Esnaola; Samir M. Perlaza; Gholamali Aminian (CoRR, 2025)

Semi-pessimistic Reinforcement Learning. - Jin Zhu; Xin Zhou; Jiaang Yao; Gholamali Aminian; Omar Rivasplata; Simon Little; Lexin Li; Chengchun Shi (CoRR, 2025)

Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning. - Armin Behnamnia; Gholamali Aminian; Alireza Aghaei; Chengchun Shi; Vincent Y. F. Tan; Hamid R. Rabiee (CoRR, 2025)

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis. - Gholamali Aminian; Idan Shenfeld; Amir R. Asadi; Ahmad Beirami; Youssef Mroueh (CoRR, 2025)