Hossein Taheri

Orcid: 0000-0001-9597-995X

According to our database1, Hossein Taheri authored at least 22 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
On the Optimization and Generalization of Multi-head Attention.
Trans. Mach. Learn. Res., 2024

Generalization and Stability of Interpolating Neural Networks with Minimal Width.
J. Mach. Learn. Res., 2024

2023
Deep Learning Model for Railroad Structural Health Monitoring via Distributed Acoustic Sensing.
Proceedings of the 25th ACIS International Winter Conference on Software Engineering, 2023

On Generalization of Decentralized Learning with Separable Data.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Fast Convergence in Learning Two-Layer Neural Networks with Separable Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation.
Sensors, 2022

Decentralized Learning with Separable Data: Generalization and Fast Algorithms.
CoRR, 2022

Asymptotic Behavior of Adversarial Training in Binary Linear Classification.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models.
Entropy, 2021

Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Asymptotic Behavior of Adversarial Training in Binary Classification.
CoRR, 2020

Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs.
CoRR, 2020

Optimality of Least-squares for Classification in Gaussian-Mixture Models.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Quantized Decentralized Stochastic Learning over Directed Graphs.
Proceedings of the 37th International Conference on Machine Learning, 2020

Sharp Asymptotics and Optimal Performance for Inference in Binary Models.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Robust and Communication-Efficient Collaborative Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sharp Guarantees for Solving Random Equations with One-Bit Information.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2016
Model-based assistance-as-needed for robotic movement therapy after stroke.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Design and optimization of PARTNER: A parallel actuated robotic trainer for NEuroRehabilitation.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2012
Robot-assisted Guitar Hero for finger rehabilitation after stroke.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Intentional State-Ascription in Multi-Agent Systems - A Case Study in Unmanned Underwater Vehicles.
Proceedings of the Philosophy and Theory of Artificial Intelligence, 2011

Architecture and applications of Language-Centered Intelligence for unmanned underwater vehicles.
Proceedings of the IEEE International Conference on Systems, 2011


  Loading...