Seyed Mohammad Asghari

According to our database, Seyed Mohammad Asghari authored at least 26 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Efficient Exploration at Scale.

Seyed Mohammad Asghari, Chris Chute, Vikranth Dwaracherla, Xiuyuan Lu, Mehdi Jafarnia, Victor Minden, Zheng Wen, Benjamin Van Roy

CoRR, March, 2026

2024

Efficient Exploration for LLMs.

Vikranth Dwaracherla, Seyed Mohammad Asghari, Botao Hao, Benjamin Van Roy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping.

Vikranth Dwaracherla, Zheng Wen, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy

Trans. Mach. Learn. Res., 2023

Approximate Thompson Sampling via Epistemic Neural Networks.

Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Epistemic Neural Networks.

Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Fine-Tuning Language Models via Epistemic Neural Networks.

Ian Osband, Seyed Mohammad Asghari, Benjamin Van Roy, Nat McAleese, John Aslanides, Geoffrey Irving

CoRR, 2022

Robustness of Epinets against Distributional Shifts.

Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy

CoRR, 2022

Evaluating high-order predictive distributions in deep learning.

Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy

Proceedings of the Uncertainty in Artificial Intelligence, 2022

The Neural Testbed: Evaluating Joint Predictions.

Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Optimal Infinite Horizon Decentralized Networked Controllers With Unreliable Communication.

Yi Ouyang, Seyed Mohammad Asghari, Ashutosh Nayyar

IEEE Trans. Autom. Control., 2021

Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?

Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Botao Hao, Morteza Ibrahimi, Dieterich Lawson, Xiuyuan Lu, Brendan O'Donoghue, Benjamin Van Roy

CoRR, 2021

2020

Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems.

Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Regret Analysis for Learning in a Multi-Agent Linear-Quadratic Control Problem.

Seyed Mohammad Asghari, Mukul Gagrani, Ashutosh Nayyar

Proceedings of the 2020 American Control Conference, 2020

2019

An Approximation Algorithm for Optimal Clique Cover Delivery in Coded Caching.

Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar, Amir Salman Avestimehr

IEEE Trans. Commun., 2019

Optimal Local and Remote Controllers With Unreliable Uplink Channels.

Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar

IEEE Trans. Autom. Control., 2019

Learning to Code: Coded Caching via Deep Reinforcement Learning.

Navid Naderializadeh, Seyed Mohammad Asghari

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Optimal Coded Multicast in Cache Networks with Arbitrary Content Placement.

Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar, Amir Salman Avestimehr

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Optimal local and remote controllers with unreliable communication: the infinite horizon case.

Yi Ouyang, Seyed Mohammad Asghari, Ashutosh Nayyar

Proceedings of the 2018 Annual American Control Conference, 2018

Decentralized Control of Stochastically Switched Linear System with Unreliable Communication.

Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Dynamic Teams and Decentralized Control Problems With Substitutable Actions.

Seyed Mohammad Asghari, Ashutosh Nayyar

IEEE Trans. Autom. Control., 2017

Stochastic teams with randomized information structures.

Yi Ouyang, Seyed Mohammad Asghari, Ashutosh Nayyar

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Optimal local and remote controllers with unreliable communication.

Yi Ouyang, Seyed Mohammad Asghari, Ashutosh Nayyar

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Decentralized control problems with substitutable actions.

Seyed Mohammad Asghari, Ashutosh Nayyar

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2013

ABMQ: An Agent-Based Modeler and Simulator for Self-Organization in MANETs using Qt.

Mohammad Noormohammadpour, Mohammad Javad Salehi, Seyed Mohammad Asghari Pari, Babak Hossein Khalaj, Hamidreza Bagheri, Marcos D. Katz

CoRR, 2013

An incentive-based leader selection mechanism for mobile ad-hoc networks (MANETs).

Seyed Mohammad Asghari Pari, Mohammad Javad Salehi, Mohammad Noormohammadpour, Babak Hossein Khalaj, Hamidreza Bagheri, Marcos D. Katz

Proceedings of the IFIP Wireless Days, 2013

A self-organizing approach to malicious detection in leader-based mobile ad-hoc networks.

Seyed Mohammad Asghari Pari, Mohammad Noormohammadpour, Mohammad Javad Salehi, Babak Hossein Khalaj, Hamidreza Bagheri, Marcos D. Katz

Proceedings of the IFIP Wireless Days, 2013