Synthical logo
Synthical
Your space
Profile
Activity
Favorites
Folders
Feeds
All articles
Contacts
About
Simple
Original

Articles by Morteza Ibrahimi

Approximate Thompson Sampling via Epistemic Neural Networks
18 February 2023 by Ian Osband and others
Machine Learning, Artificial Intelligence
Epistemic Neural Networks
13 April 2022 by Ian Osband and others
Machine Learning, Artificial Intelligence
From Predictions to Decisions: The Importance of Joint Predictive Distributions
1 February 2022 by Zheng Wen and others
Machine Learning
The Neural Testbed: Evaluating Predictive Distributions
1 February 2022 by Ian Osband and others
Machine Learning, Artificial Intelligence
Reinforcement Learning, Bit by Bit
14 March 2021 by Xiuyuan Lu and others
Machine Learning, Artificial Intelligence
Operator representation and logistic extension of elementary cellular automata
5 October 2020 by Muhamet Ibrahimi and others
Cellular Automata and Lattice Gases, Adaptation and Self-Organizing Systems
Hypermodels for Exploration
12 June 2020 by Vikranth Dwaracherla and others
Machine Learning, Optimization and Control
The set of solutions of random XORSAT formulae
9 September 2015 by Morteza Ibrahimi and others
Discrete Mathematics, Disordered Systems and Neural Networks
Support Recovery for the Drift Coefficient of High-Dimensional Diffusions
20 August 2013 by Jose Bento and Morteza Ibrahimi
Information Theory, Machine Learning
Accelerated Time-of-Flight Mass Spectrometry
28 July 2013 by Morteza Ibrahimi and others
Optimization and Control, Computational Engineering, Finance, and Science
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems
24 March 2013 by Morteza Ibrahimi and others
Machine Learning, Optimization and Control
Robust Max-Product Belief Propagation
27 November 2011 by Morteza Ibrahimi and others
Computational Engineering, Finance, and Science, Machine Learning
Information Theoretic Limits on Learning Stochastic Differential Equations
9 March 2011 by José Bento and others
Information Theory, Machine Learning
Learning Networks of Stochastic Differential Equations
1 November 2010 by José Bento and others
Statistics Theory, Statistical Mechanics