2 citations · 4 across the 7 of their papers we have counts for
7 papers
When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination
Martin Benfeghoul, Umais Zahid, Qinghai Guo +1
In an unfamiliar setting, a model-based reinforcement learning agent can be limited by the accuracy of its world model. In this work, we present a novel, training-free approach to…
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling
Guiqin Wang, Peng Zhao, Cong Zhao +5
Weakly-supervised action localization aims to recognize and localize action instancese in untrimmed videos with only video-level labels. Most existing models rely on multiple insta…
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation
Umais Zahid, Qinghai Guo, Zafeirios Fountas
Backpropagation has rapidly become the workhorse credit assignment algorithm for modern deep learning methods. Recently, modified forms of predictive coding (PC), an algorithm with…
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
Yushun Tang, Ce Zhang, Heng Xu +5
Fully test-time adaptation aims to adapt the network model based on sequential analysis of input samples during the inference stage to address the cross-domain performance degradat…
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo
Umais Zahid, Qinghai Guo, Karl Friston +1
Predictive coding (PC) accounts of perception now form one of the dominant computational theories of the brain, where they prescribe a general algorithm for inference and learning…
Long-horizon video prediction using a dynamic latent hierarchy
Alexey Zakharov, Qinghai Guo, Zafeirios Fountas
The task of video prediction and generation is known to be notoriously difficult, with the research in this area largely limited to short-term predictions. Though plagued with nois…