Follow
Mica Xu Ji
Mica Xu Ji
Research Fellow, Department of Life Sciences, University of Westminster
Verified email at westminster.ac.uk
Title
Cited by
Cited by
Year
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
X Ji, JF Henriques, A Vedaldi
arXiv preprint arXiv:1807.06653, 2019
10182019
There and back again: Revisiting backpropagation saliency methods
SA Rebuffi, R Fong, X Ji, A Vedaldi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1302020
Consciousness in artificial intelligence: insights from the science of consciousness
P Butlin, R Long, E Elmoznino, Y Bengio, J Birch, A Constant, G Deane, ...
arXiv preprint arXiv:2308.08708, 2023
752023
GFlowNets and variational inference
N Malkin, S Lahlou, T Deleu, X Ji, E Hu, K Everett, D Zhang, Y Bengio
arXiv preprint arXiv:2210.00580, 2022
552022
How does information bottleneck help deep learning?
K Kawaguchi, Z Deng, X Ji, J Huang
International Conference on Machine Learning, 16049-16096, 2023
232023
On the role of neurogenesis in overcoming catastrophic forgetting
GI Parisi, X Ji, S Wermter
arXiv preprint arXiv:1811.02113, 2018
182018
Gflowout: Dropout with generative flow networks
D Liu, M Jain, BFP Dossou, Q Shen, S Lahlou, A Goyal, N Malkin, ...
International Conference on Machine Learning, 21715-21729, 2023
132023
Automatic recall machines: Internal replay, continual learning and the brain
X Ji, J Henriques, T Tuytelaars, A Vedaldi
arXiv preprint arXiv:2006.12323, 2020
122020
Adaptive discrete communication bottlenecks with dynamic vector quantization
D Liu, A Lamb, X Ji, P Notsawo, M Mozer, Y Bengio, K Kawaguchi
arXiv preprint arXiv:2202.01334, 2022
102022
Sources of richness and ineffability for phenomenally conscious states
X Ji, E Elmoznino, G Deane, A Constant, G Dumas, G Lajoie, J Simon, ...
Neuroscience of Consciousness 2024 (1), niae001, 2024
92024
Test Sample Accuracy Scales with Training Sample Density in Neural Networks
X Ji, R Pascanu, D Hjelm, B Lakshminarayanan, A Vedaldi
arXiv preprint arXiv:2106.08365, 2021
9*2021
Graph-Based Active Machine Learning Method for Diverse and Novel Antimicrobial Peptides Generation and Selection
BFP Dossou, D Liu, X Ji, M Jain, AM van der Sloot, R Palou, M Tyers, ...
12022
Unsupervised learning and continual learning in neural networks
X Ji
University of Oxford, 2021
12021
Adaptive discrete communication bottlenecks with dynamic vector quantization for heterogeneous representational coarseness
D Liu, A Lamb, X Ji, PJT Notsawo, M Mozer, Y Bengio, K Kawaguchi
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8825-8833, 2023
2023
Properties of Minimizing Entropy
X Ji, L Nehale-Ezzine, M Korablyov
arXiv preprint arXiv:2112.03143, 2021
2021
La Conciencia en la Inteligencia Artificial: Reflexiones desde la Ciencia de la Conciencia
P Butlin, R Long, E Elmoznino, Y Bengio, J Birch, A Constant, G Deane, ...
An Analysis of Information Bottlenecks
K Kawaguchi, X Ji, J Huang, Y Bengio
The system can't perform the operation now. Try again later.
Articles 1–17