Noor Sajid - RankMe

33 papers A* 2Journal 27Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	—	`ed.`	Active Inference - 5th International Workshop, IWAI 2024, Oxford, UK, September 9-11, 2024, Revised Selected Papers IWAI Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Riddhi J. Pitliya, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
2025	J	`jnl`	Dissociating model architectures from inference computations. CoRR Noor Sajid, Johan Medrano
2025	J	`jnl`	Model alignment using inter-modal bridges. CoRR Ali Gholamzadeh, Noor Sajid
2024	J	`jnl`	A Broken Duet: Multistable Dynamics in Dyadic Interactions. Entropy Johan Medrano, Noor Sajid
2024	—	`ed.`	Active Inference - 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13-15, 2023, Revised Selected Papers IWAI Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
2024	J	`jnl`	Active Inference as a Model of Agency. CoRR Lancelot Da Costa, Samuel Tenka, Dominic Zhao, Noor Sajid
2024	A*	`conf`	Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics. ICLR Christian Gumbsch, Noor Sajid, Georg Martius, Martin V. Butz
2024	J	`jnl`	On efficient computation in active inference. Expert Syst. Appl. Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi
2023	—	`ed.`	Active Inference - Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers IWAI Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen
2023	J	`jnl`	Hierarchical generative modelling for autonomous robots. CoRR Kai Yuan, Noor Sajid, Karl J. Friston, Zhibin Li
2023	J	`jnl`	Hierarchical generative modelling for autonomous robots. Nat. Mac. Intell. Kai Yuan, Noor Sajid, Karl J. Friston, Zhibin Li
2023	J	`jnl`	On efficient computation in active inference. CoRR Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi
2023	J	`jnl`	Reward Maximization Through Discrete Active Inference. Neural Comput. Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith
2023	J	`jnl`	Supervised structure learning. CoRR 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
2022	J	`jnl`	Bayesian Brains and the Rényi Divergence. Neural Comput. Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
2022	J	`jnl`	How Active Inference Could Help Revolutionise Robotics. Entropy Lancelot Da Costa, Pablo Lanillos, Noor Sajid, Karl J. Friston, Shujhat Khan
2022	J	`jnl`	Modelling non-reinforced preferences using selective attention. CoRR Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa
2022	J	`jnl`	Reclaiming saliency: Rhythmic precision-modulated action and perception. Frontiers Neurorobotics Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid
2022	J	`jnl`	Reclaiming saliency: rhythmic precision-modulated action and perception. CoRR Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid
2021	—	`conf`	Active Inference for Stochastic Control. PKDD/ECML Workshops (1) Aswin Paul, Noor Sajid, Manoj Gopalkrishnan, Adeel Razi
2021	J	`jnl`	Active Inference for Stochastic Control. CoRR Aswin Paul, Noor Sajid, Manoj Gopalkrishnan, Adeel Razi
2021	J	`jnl`	Active Inference: Demystified and Compared. Neural Comput. Noor Sajid, Philip J. Ball, Thomas Parr, Karl J. Friston
2021	J	`jnl`	Active inference, Bayesian optimal design, and expected utility. CoRR Noor Sajid, Lancelot Da Costa, Thomas Parr, Karl J. Friston
2021	J	`jnl`	Bayesian brains and the Rényi divergence. CoRR Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
2021	J	`jnl`	Cancer Niches and Their Kikuchi Free Energy. Entropy Noor Sajid, Laura Convertino, Karl J. Friston
2021	J	`jnl`	Exploration and preference satisfaction trade-off in reward-free learning. CoRR Noor Sajid, Panagiotis Tigas, Alexey Zakharov, Zafeirios Fountas, Karl J. Friston
2021	J	`jnl`	Generative Models for Active Vision. Frontiers Neurorobotics Thomas Parr, Noor Sajid, Lancelot Da Costa, M. Berk Mirza, Karl J. Friston
2020	A*	`conf`	Deep active inference agents using Monte-Carlo methods. NeurIPS Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston
2020	J	`jnl`	Deep active inference agents using Monte-Carlo methods. CoRR Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston
2020	J	`jnl`	Modules or Mean-Fields? Entropy Thomas Parr, Noor Sajid, Karl J. Friston
2020	J	`jnl`	The relationship between dynamic programming and active inference: the discrete, finite-horizon case. CoRR Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith
2019	J	`jnl`	Demystifying active inference. CoRR Noor Sajid, Philip J. Ball, Karl J. Friston
2018	J	`jnl`	Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI. CoRR Yusuf H. Roohani, Noor Sajid, Pranava Madhyastha, Cathy J. Price, Thomas M. H. Hope