Noor Sajid

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Bethe Free Energy

Stochastic Control

Top Venues

Frontiers Neurorobotics

Publications

Lancelot Da Costa, Samuel Tenka, Dominic Zhao, Noor Sajid
Active Inference as a Model of Agency. CoRR (2024)
Christian Gumbsch, Noor Sajid, Georg Martius, Martin V. Butz
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics. ICLR (2024)
Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi
On efficient computation in active inference. Expert Syst. Appl. 253 (2024)
Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith
Reward Maximization Through Discrete Active Inference. Neural Comput. 35 (5) (2023)
Kai Yuan, Noor Sajid, Karl J. Friston, Zhibin Li
Hierarchical generative modelling for autonomous robots. Nat. Mac. Intell. 5 (12) (2023)
Kai Yuan, Noor Sajid, Karl J. Friston, Zhibin Li
Hierarchical generative modelling for autonomous robots. CoRR (2023)
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
Supervised structure learning. CoRR (2023)
Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi
On efficient computation in active inference. CoRR (2023)
Lancelot Da Costa, Pablo Lanillos, Noor Sajid, Karl J. Friston, Shujhat Khan
How Active Inference Could Help Revolutionise Robotics. Entropy 24 (3) (2022)
Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid
Reclaiming saliency: rhythmic precision-modulated action and perception. CoRR (2022)
Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa
Modelling non-reinforced preferences using selective attention. CoRR (2022)
Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
Bayesian Brains and the Rényi Divergence. Neural Comput. 34 (4) (2022)
Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid
Reclaiming saliency: Rhythmic precision-modulated action and perception. Frontiers Neurorobotics 16 (2022)
Aswin Paul, Noor Sajid, Manoj Gopalkrishnan, Adeel Razi
Active Inference for Stochastic Control. CoRR (2021)
Thomas Parr, Noor Sajid, Lancelot Da Costa, M. Berk Mirza, Karl J. Friston
Generative Models for Active Vision. Frontiers Neurorobotics 15 (2021)
Noor Sajid, Panagiotis Tigas, Alexey Zakharov, Zafeirios Fountas, Karl J. Friston
Exploration and preference satisfaction trade-off in reward-free learning. CoRR (2021)
Aswin Paul, Noor Sajid, Manoj Gopalkrishnan, Adeel Razi
Active Inference for Stochastic Control. PKDD/ECML Workshops (1) (2021)
Noor Sajid, Philip J. Ball, Thomas Parr, Karl J. Friston
Active Inference: Demystified and Compared. Neural Comput. 33 (3) (2021)
Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
Bayesian brains and the Rényi divergence. CoRR (2021)
Noor Sajid, Laura Convertino, Karl J. Friston
Cancer Niches and Their Kikuchi Free Energy. Entropy 23 (5) (2021)
Noor Sajid, Lancelot Da Costa, Thomas Parr, Karl J. Friston
Active inference, Bayesian optimal design, and expected utility. CoRR (2021)
Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston
Deep active inference agents using Monte-Carlo methods. CoRR (2020)
Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith
The relationship between dynamic programming and active inference: the discrete, finite-horizon case. CoRR (2020)
Thomas Parr, Noor Sajid, Karl J. Friston
Modules or Mean-Fields? Entropy 22 (5) (2020)
Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston
Deep active inference agents using Monte-Carlo methods. NeurIPS (2020)
Noor Sajid, Philip J. Ball, Karl J. Friston
Demystifying active inference. CoRR (2019)
Yusuf H. Roohani, Noor Sajid, Pranava Madhyastha, Cathy J. Price, Thomas M. H. Hope
Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI. CoRR (2018)