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Carl Allen
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Cited by
Year
Tucker: Tensor factorization for knowledge graph completion
I Balažević, C Allen, TM Hospedales
EMNLP, 2019
8812019
Multi-scale attributed node embedding
B Rozemberczki, C Allen, R Sarkar
Journal of Complex Networks 9 (2), cnab014, 2021
7222021
Multi-relational poincaré graph embeddings
I Balazevic, C Allen, T Hospedales
Advances in Neural Information Processing Systems 32, 2019
3432019
Hypernetwork knowledge graph embeddings
I Balažević, C Allen, TM Hospedales
Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019
2342019
Analogies Explained: Towards Understanding Word Embeddings
C Allen, T Hospedales
International Conference on Machine Learning 97, 223-231, 2019
1582019
Biomimetic synthesis of lantibiotics
S Burrage, T Raynham, G Williams, JW Essex, C Allen, M Cardno, V Swali, ...
Chemistry–A European Journal 6 (8), 1455-1466, 2000
1102000
Benchmark and best practices for biomedical knowledge graph embeddings
D Chang, I Balažević, C Allen, D Chawla, C Brandt, RA Taylor
Proceedings of the conference. Association for Computational Linguistics …, 2020
412020
Interpreting knowledge graph relation representation from word embeddings
C Allen, I Balažević, T Hospedales
arXiv preprint arXiv:1909.11611, 2019
32*2019
What the Vec? Towards Probabilistically Grounded Embeddings
C Allen, I Balažević, T Hospedales
arXiv preprint arXiv:1805.12164, 2019
322019
Adapters for enhanced modeling of multilingual knowledge and text
Y Hou, W Jiao, M Liu, C Allen, Z Tu, M Sachan
arXiv preprint arXiv:2210.13617, 2022
72022
A probabilistic model for discriminative and neuro-symbolic semi-supervised learning
C Allen, I Balažević, T Hospedales
arXiv preprint arXiv:2006.05896, 2020
62020
Variational Classification: A Probabilistic Generalization of the Softmax Classifier
SZ Dhuliawala, M Sachan, C Allen
Transactions on Machine Learning Research, 2023
3*2023
Learning to drop out: An adversarial approach to training sequence vaes
D Miladinovic, K Shridhar, K Jain, M Paulus, JM Buhmann, C Allen
Advances in Neural Information Processing Systems 35, 9645-9659, 2022
32022
A Probabilistic Model to explain Self-Supervised Representation Learning
A Bizeul, B Schölkopf, C Allen
arXiv preprint arXiv:2402.01399, 2024
2024
SimVAE: Narrowing the gap between Discriminative & Generative Representation Learning
A Bizeul, C Allen
NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023
2023
Method and apparatus for semi-supervised learning
I Balazevic, C Allen, T Hospedales
US Patent App. 17/436,927, 2023
2023
Towards a theoretical understanding of word and relation representation
C Allen
arXiv preprint arXiv:2202.00486, 2022
2022
Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows
I Balažević, C Allen, T Hospedales
arXiv preprint arXiv:2007.02745, 2020
2020
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