LLMs and Reasoning Models
Daniel Kaiser, Arnoldo Frigessi, Ali Ramezani-Kebrya, and Benjamin Ricaud, CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density, ICLR 2026.
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Deep Learning
Sigurd Holmsen, Berit Omli Øksnes, Ingrid Hobæk Haff, Sylvia Richardson and Ali Ramezani-Kebrya, Non-Parametric Mutual Information Estimation with Vine Copulas, NeurIPS 2026.
Anh Duc Nguyen, Ilia Markov, Frank Zhengqing Wu, Ali Ramezani-Kebrya, Kimon Antonakopoulos, Dan Alistarh, and Volkan Cevher, Layer-wise Quantization for Quantized Optimistic Dual Averaging, ICML 2025.pdf poster openreview arXiv
Ali Ramezani-Kebrya*, Kimon Antonakopoulos*, Igor Krawczuk*, Justin Deschenaux*, and Volkan Cevher, Distributed Extra-gradient with Optimal Complexity and Communication Guarantees, ICLR 2023.
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Ali Ramezani-Kebrya, Fartash Faghri, Ilya Markov, Vitalii Aksenov, Dan Alistarh, and Daniel M. Roy, NUQSGD: Provably Communication-Efficient Data-Parallel SGD via Nonuniform Quantization, Journal of Machine Learning Research, vol. 22, pp. 1-43, Apr. 2021.
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Fartash Faghri*, Iman Tabrizian*, Ilya Markov, Dan Alistarh, Daniel M. Roy, and Ali Ramezani-Kebrya, Adaptive Gradient Quantization for Data-Parallel SGD, NeurIPS 2020.
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Trustworthy AI
Zhiyuan Wu, Changkyu Choi, Shujian Yu, Robert Jenssen, and Ali Ramezani-Kebrya, Mitigating Embedding Leakage via Latent Disruption with Controlled Reconstruction, Transactions on Machine Learning Research, June 2026.
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Brage Eilertsen, Røskva Bjørgfinsdóttir, Francielle Vargas, and Ali Ramezani-Kebrya, Aligning Attention with Human Rationales for Self-Explaining Hate Speech Detection, AAAI 2026.
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Zhiyuan Wu*, Changkyu Choi*, Xiangcheng Cao, Volkan Cevher, and Ali Ramezani-Kebrya, Addressing Label Shift in Distributed Learning via Entropy Regularization, ICLR 2025.
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Wanyun Xie, Thomas Pethick, Ali Ramezani-Kebrya, and Volkan Cevher, Mixed Nash for Robust Federated Learning, Transactions on Machine Learning Research, Feb. 2024.
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Ali Ramezani-Kebrya*, Fanghui Liu*, Thomas Pethick*, Grigorios Chrysos, and Volkan Cevher, Federated Learning under Covariate Shifts with Generalization Guarantees, Transactions on Machine Learning Research, June 2023.
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Ali Ramezani-Kebrya*, Iman Tabrizian*, Fartash Faghri, and Petar Popovski, MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks, Transactions on Machine Learning Research, Oct. 2022.
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ML Theory
Johan Mylius-Kroken, Elisabeth Wetzer, Ali Ramezani-Kebrya, Robert Jenssen and Kristoffer Knutsen Wickstrøm, Intrinsic Information Theoretic Analysis of ReLU Nets, NeurIPS 2026.
Ali Ramezani-Kebrya, Kimon Antonakopoulos, Volkan Cevher, Ashish Khisti, and Ben Liang, On the Generalization of Stochastic Gradient Descent with Momentum, Journal of Machine Learning Research, vol. 25, pp. 1-56, Jan. 2024.
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Chaehwan Song*, Ali Ramezani-Kebrya*, Thomas Pethick, Armin Eftekhari, and Volkan Cevher, Subquadratic Overparameterization for Shallow Neural Networks, NeurIPS 2021.
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Optimization and Networks
Ali Ramezani-Kebrya, Ben Liang, Min Dong, and Gary Boudreau, Robust Design of Multi-Cell D2D Communication under Partial CSI, IEEE Internet of Things Journal, Feb. 2022.
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Ali Ramezani-Kebrya, Min Dong, Ben Liang, Gary Boudreau, and S. Hossein Seyedmehdi, Robust Power Optimization for Device-to-Device Communication in a Multi-Cell Network, IEEE ICC 2017.
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Ali Ramezani-Kebrya, Min Dong, Ben Liang, Gary Boudreau, and S. Hossein Seyedmehdi, Joint Power Optimization for Device-to-Device Communication in Cellular Networks with Interference Control, IEEE Transactions on Wireless Communications, vol. 16, pp. 5131-5146, Aug. 2017.
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Ali Ramezani-Kebrya, Ben Liang, Min Dong, Gary Boudreau, and Ronald Casselman, Interference Minimization in Cooperative Relay Beamforming with Multiple Communicating Pairs, IEEE Transactions on Wireless Communications, vol. 16, pp. 6514-6527, Oct. 2017.
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Ali Ramezani-Kebrya, Min Dong, Ben Liang, Gary Boudreau, and Ronald Casselman, Per-Relay Power Minimization with Cooperative Relay Beamforming, IEEE Transactions on Wireless Communications, vol. 15, pp. 3187-3198, May 2016.
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Ali Ramezani-Kebrya, Min Dong, Ben Liang, Gary Boudreau, and S. Hossein Seyedmehdi, Optimal Power Allocation in Device-to-Device Communication with SIMO Uplink Beamforming, in IEEE SPAWC 2015.
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Ali Ramezani-Kebrya, Min Dong, Ben Liang, Gary Boudreau, and Ronald Casselman, Optimal Cooperative Relay Beamforming for Interference Minimization, in IEEE ICC 2015.
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Ali Ramezani-Kebrya, Il-Min Kim, Dong In Kim, Francois Chan, and Robert Inkol, Likelihood-Based Modulation Classification for Multiple-Antenna Receiver, IEEE Transactions on Communications, vol. 61, pp. 3816-3829, Sep. 2013.
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Ali Ramezani-Kebrya, Il-Min Kim, Francois Chan, Robert Inkol, and Hyoung-Kyu Song, Detection for an AF Cooperative Diversity Network in the Presence of Interference, IEEE Communications Letters, vol. 17, pp. 653-656, Apr. 2013.
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Patents
Device-to-Device Communication in a Multi-Cell Network with Perfect and Imperfect CSI US Patent No. US10644832B2, May 2020.
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Power Allocation for Device-to-Device Communication Underlaying Cellular Networks US Patent No. US10470137B2, Nov. 2019.
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Interference and/or Power Reduction for Multiple Relay Nodes Using Cooperative Beamforming US Patent No. US010042852B2, Aug. 2018.
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