Hossein Taheri

34 papers A* 4A 3B 3Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Asymptotic Behavior of Adversarial Training in Binary Linear Classification. IEEE Trans. Neural Networks Learn. Syst. Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2025	J	`jnl`	Industry 4.0 in the Metal Casting; Current Status and Developing Trends. Digit. Soc. Michael Jones, Hossein Taheri
2025	J	`jnl`	On the Theory of Continual Learning with Gradient Descent for Neural Networks. CoRR Hossein Taheri, Avishek Ghosh, Arya Mazumdar
2025	A*	`conf`	Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods. ICLR Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar
2024	J	`jnl`	Generalization and Stability of Interpolating Neural Networks with Minimal Width. J. Mach. Learn. Res. Hossein Taheri, Christos Thrampoulidis
2024	J	`jnl`	On the Optimization and Generalization of Multi-head Attention. Trans. Mach. Learn. Res. Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis
2024	J	`jnl`	Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods. CoRR Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar
2023	—	`conf`	Deep Learning Model for Railroad Structural Health Monitoring via Distributed Acoustic Sensing. SNPD-Winter Md. Arifur Rahman, Hossein Taheri, Jongyeop Kim
2023	A*	`conf`	Fast Convergence in Learning Two-Layer Neural Networks with Separable Data. AAAI Hossein Taheri, Christos Thrampoulidis
2023	J	`jnl`	Fast Convergence in Learning Two-Layer Neural Networks with Separable Data. CoRR Hossein Taheri, Christos Thrampoulidis
2023	J	`jnl`	Generalization and Stability of Interpolating Neural Networks with Minimal Width. CoRR Hossein Taheri, Christos Thrampoulidis
2023	A	`conf`	On Generalization of Decentralized Learning with Separable Data. AISTATS Hossein Taheri, Christos Thrampoulidis
2023	J	`jnl`	On the Optimization and Generalization of Multi-head Attention. CoRR Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis
2022	J	`jnl`	Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation. Sensors Hossein Taheri, Maria Gonzalez Bocanegra, Mohammad Taheri
2022	B	`conf`	Asymptotic Behavior of Adversarial Training in Binary Linear Classification. ISIT Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2022	J	`jnl`	Decentralized Learning with Separable Data: Generalization and Fast Algorithms. CoRR Hossein Taheri, Christos Thrampoulidis
2021	A	`conf`	Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. AISTATS Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2021	J	`jnl`	Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models. Entropy Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	J	`jnl`	Asymptotic Behavior of Adversarial Training in Binary Classification. CoRR Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	J	`jnl`	Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. CoRR Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	B	`conf`	Optimality of Least-squares for Classification in Gaussian-Mixture Models. ISIT Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	A*	`conf`	Quantized Decentralized Stochastic Learning over Directed Graphs. ICML Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2020	J	`jnl`	Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs. CoRR Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2020	A	`conf`	Sharp Asymptotics and Optimal Performance for Inference in Binary Models. AISTATS Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	J	`jnl`	Sharp Asymptotics and Optimal Performance for Inference in Binary Models. CoRR Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2019	A*	`conf`	Robust and Communication-Efficient Collaborative Learning. NeurIPS Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2019	J	`jnl`	Robust and Communication-Efficient Collaborative Learning. CoRR Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2019	—	`conf`	Sharp Guarantees for Solving Random Equations with One-Bit Information. Allerton Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2019	J	`jnl`	Sharp Guarantees for Solving Random Equations with One-Bit Information. CoRR Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2016	—	`conf`	Design and optimization of PARTNER: A parallel actuated robotic trainer for NEuroRehabilitation. EMBC Hossein Taheri, Stephen A. Goodwin, James A. Tigue, Joel C. Perry, Eric T. Wolbrecht
2016	—	`conf`	Model-based assistance-as-needed for robotic movement therapy after stroke. EMBC Hossein Taheri, David J. Reinkensmeyer, Eric T. Wolbrecht
2012	—	`conf`	Robot-assisted Guitar Hero for finger rehabilitation after stroke. EMBC Hossein Taheri, Justin B. Rowe, David Gardner, Vicky Chan, David J. Reinkensmeyer, Eric T. Wolbrecht
2011	B	`conf`	Architecture and applications of Language-Centered Intelligence for unmanned underwater vehicles. SMC Nicodemus Hallin, Hossein Taheri, Justin Horn, Michael O'Rourke, Dean Edwards
2011	—	`conf`	Intentional State-Ascription in Multi-Agent Systems - A Case Study in Unmanned Underwater Vehicles. PT-AI Justin Horn, Nicodemus Hallin, Hossein Taheri, Michael O'Rourke, Dean Edwards