Noor Sajid

According to our database, Noor Sajid authored at least 20 papers between 2018 and 2024.

Collaborative distances:

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

2024

Active Inference as a Model of Agency.

Lancelot Da Costa, Samuel Tenka, Dominic Zhao, Noor Sajid

CoRR, 2024

2023

Hierarchical generative modelling for autonomous robots.

Kai Yuan, Noor Sajid, Karl J. Friston, Zhibin Li

Nat. Mac. Intell., December, 2023

Reward Maximization Through Discrete Active Inference.

Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith

Neural Comput., May, 2023

Supervised structure learning.

Karl J. Friston, Lancelot Da Costa, Alexander Tschantz, Alex B. Kiefer, Tommaso Salvatori, Victorita Neacsu, Magnus T. Koudahl, Conor Heins, Noor Sajid, Dimitrije Markovic, Thomas Parr, Tim Verbelen, Christopher L. Buckley

CoRR, 2023

On efficient computation in active inference.

Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi

CoRR, 2023

2022

Reclaiming saliency: Rhythmic precision-modulated action and perception.

Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid

Frontiers Neurorobotics, September, 2022

Bayesian Brains and the Rényi Divergence.

Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston

Neural Comput., 2022

How Active Inference Could Help Revolutionise Robotics.

Lancelot Da Costa, Pablo Lanillos, Noor Sajid, Karl J. Friston, Shujhat Khan

Entropy, 2022

Modelling non-reinforced preferences using selective attention.

Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa

CoRR, 2022

2021

Active Inference: Demystified and Compared.

Noor Sajid, Philip J. Ball, Thomas Parr, Karl J. Friston

Neural Comput., 2021

Generative Models for Active Vision.

Thomas Parr, Noor Sajid, Lancelot Da Costa, M. Berk Mirza, Karl J. Friston

Frontiers Neurorobotics, 2021

Cancer Niches and Their Kikuchi Free Energy.

Noor Sajid, Laura Convertino, Karl J. Friston

Entropy, 2021

Active inference, Bayesian optimal design, and expected utility.

Noor Sajid, Lancelot Da Costa, Thomas Parr, Karl J. Friston

CoRR, 2021

Exploration and preference satisfaction trade-off in reward-free learning.

Noor Sajid, Panagiotis Tigas, Alexey Zakharov, Zafeirios Fountas, Karl J. Friston

CoRR, 2021

Active Inference for Stochastic Control.

Aswin Paul, Noor Sajid, Manoj Gopalkrishnan, Adeel Razi

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

Modules or Mean-Fields?

Thomas Parr, Noor Sajid, Karl J. Friston

Entropy, 2020

The relationship between dynamic programming and active inference: the discrete, finite-horizon case.

Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith

CoRR, 2020

Deep active inference agents using Monte-Carlo methods.

Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Demystifying active inference.

Noor Sajid, Philip J. Ball, Karl J. Friston

CoRR, 2019

2018

Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI.

Yusuf H. Roohani, Noor Sajid, Pranava Madhyastha, Cathy J. Price, Thomas M. H. Hope

CoRR, 2018