Noor Saj​id

December 2021

• Presented our up-coming work on A new perspective on the neurological model for aud itory repetition [ Poster]  at the  Modelling the brain winter school in Erice!

November 2021

• New preprint:  Hierarchical generative modelling for autonomous robots

October 2021

• Thrilled to be among this year's recipients of the Microsoft Research PhD Fellowship .
• New preprint of our book chapter: Active inference, Bayesian optimal design, and expected utility .
• Presented our work on Exploration and preference satisfaction trade-off in reward-free learning @ CRS21
• Presented to DySCO TU Dresden on 'Adaptive Bayesian Brains: generative models and inference procedures'

September 2021

• New preprint: Active Inference for Stochastic Control [ Preprint ] led by Aswin Paul. He will be presentingg this @ IWAI 2021
• Presented our work on Rényi Divergences at the Nested Minds journal group [ slides ]

August 2021

• Presented at the Data Science Forum at Zebra Technologies 🦓 [ slides ]

July 2021

• New preprint:  Bayesian brains and the Rényi Divergence
• Two poster presentations at CNS 2021:  Bayesian brains and the Rényi Divergenc e , and  Understanding degeneracy and redundancy using variational free energy .
• Poster presentation at ICML 2021 WiML Un-Workshop and  URL Workshop :  Exploration and preference satisfaction trade-off in reward-free learning

June 2021

• Started as a Machine Learning Scientist intern 🦓 at  Zebra Technologies  with  Dr. Biswa Sengupta .
• New preprint:  Exploration and preference satisfaction trade-off in reward-free learning

May 2021

• Our paper 'Cancer Niches and their Kikuchi Free Energy'  accepted in Entropy [ paper ]

April 2021

• 2 papers accepted:  Generative Models for Active Vision in Frontiers  in Neurorobotics and  Simulating lesion-dependent functional recovery mechanisms in Scientific Reports
• Invited talk at Active Inference lab [ slides ][ recording ]

March 2021

• My first, first-author paper on  Active Inference: Demystified and Compared   accepted 👌 in Neural Computation
• Granted PhD funding extension, hurrah 🙌

January 2021

• Our  Active listening   paper accepted in Hearing research
• Passed my upgrade examinations with no corrections [ report ][ slides ]

December 2020

• 2 papers accepted:  Deep active inference agents using Monte-Carlo methods  at NeurIPs 2020 and  Active inference on discrete state-spaces: a synthesis  in Journal of Mathematical Psychology

November 2020

• Our paper  Degeneracy and redundancy in active inference   accepted in Cerebral Cortex

October 2020 2 papers accepted:🔥

• Paradoxical lesions, plasticity and active inference  in Brain Communications
• Neuromodulatory control and language recovery in bilingual aphasia: An active inference approac h  in Behavioral Sciences

September 2020

• New preprint  The relationship between dynamic programming and active inference: The discrete, finite-horizon case

August 2020

• Our paper  Generative models, linguistic communication and active inference  accepted in Neuroscience & Biobehavioral Reviews

May 2020

• Our paper  Modules or Mean-Fields?   accepted in Entropy

February 2020

• Invited talk at HSE University, Moscow 

May 2019

• Best poster award at Queen Square Symposium [ poster ]

April 2019

• Started the PhD with Prof. Karl Friston

March 2019

• Oral Presentation at Oxbridge Women in Computer Science Conference [ slides ]

January 2019

• Started MRC-PhD rotation project with Dr. Thomas Hope, Prof. Cathy Price and Prof. David Atkinson on language recovery in stroke patients

December 2018

• Poster presentation at NIPs 2018 Machine Learning for Health (ML4H) Workshop:  Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI

September 2018

• Started MRC-PhD rotation project with Dr. Waty Lilaonitkul, Prof. Paul Taylor and Prof. Daniel Alexander on  anomaly detection using GANs