Thomas Lukasiewicz
University of Oxford
H-index: 53
Europe-United Kingdom
Top articles of Thomas Lukasiewicz
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
CCN+: A neuro-symbolic framework for deep learning with requirements | International Journal of Approximate Reasoning | Eleonora Giunchiglia Alex Tatomir Mihaela Cătălina Stoian Thomas Lukasiewicz | 2024/1/22 |
Exploiting t-norms for deep learning in autonomous driving | arXiv preprint arXiv:2402.11362 | Mihaela Cătălina Stoian Eleonora Giunchiglia Thomas Lukasiewicz | 2024/2/17 |
A Stable ‚Fast ‚and Fully Automatic Learning Algorithm for Predictive Coding Networks | Cornelius Emde Thomas Lukasiewicz Tommaso Salvatori Lei Sha Yuhang Song | 2024 | |
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation | Thomas Lukasiewicz Louis Mahon | 2024 | |
Associative Memories in the Feature Space | arXiv preprint arXiv:2402.10814 | Tommaso Salvatori Beren Millidge Yuhang Song Rafal Bogacz Thomas Lukasiewicz | 2024/2/16 |
Cross-domain attention-guided generative data augmentation for medical image analysis with limited data | Computers in Biology and Medicine | Zhenghua Xu Jiaqi Tang Chang Qi Dan Yao Caihua Liu | 2024/1/1 |
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data | arXiv preprint arXiv:2402.04823 | Mihaela Cătălina Stoian Salijona Dyrmishi Maxime Cordy Thomas Lukasiewicz Eleonora Giunchiglia | 2024/2/7 |
The Defeat of the Winograd Schema Challenge (Abstract Reprint) | Proceedings of the AAAI Conference on Artificial Intelligence | Vid Kocijan Ernest Davis Thomas Lukasiewicz Gary Marcus Leora Morgenstern | 2024/3/24 |
Text Attribute Control via Closed-Loop Disentanglement | Transactions of the Association for Computational Linguistics | Lei Sha Thomas Lukasiewicz | 2024/3/1 |
Pre-training and diagnosing knowledge base completion models | Artificial Intelligence | Vid Kocijan Myeongjun Jang Thomas Lukasiewicz | 2024/2/2 |
Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning | Computers in Biology and Medicine | Zhenghua Xu Shengxin Wang Gang Xu Yunxin Liu Miao Yu | 2024/2/1 |
PiShield: A NeSy Framework for Learning with Requirements | arXiv preprint arXiv:2402.18285 | Mihaela Cătălina Stoian Alex Tatomir Thomas Lukasiewicz Eleonora Giunchiglia | 2024/2/28 |
An empirical analysis of parameter-efficient methods for debiasing pre-trained language models | arXiv preprint arXiv:2306.04067 | Zhongbin Xie Thomas Lukasiewicz | 2023/6/6 |
Most Probable Explanations for Probabilistic Database Queries: Extended Version | IJCAI | İsmail İlkan Ceylan Stefan Borgwardt Thomas Lukasiewicz | 2017 |
Adaptive-Masking Policy with Deep Reinforcement Learning for Self-Supervised Medical Image Segmentation | Gang Xu Shengxin Wang Thomas Lukasiewicz Zhenghua Xu | 2023/7/10 | |
Brain-inspired computational intelligence via predictive coding | arXiv preprint arXiv:2308.07870 | Tommaso Salvatori Ankur Mali Christopher L Buckley Thomas Lukasiewicz Rajesh PN Rao | 2023/8/15 |
C^ 2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network | arXiv preprint arXiv:2310.05355 | Ruizhi Wang Xiangtao Wang Jie Zhou Thomas Lukasiewicz Zhenghua Xu | 2023/10/9 |
RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising | Computers in Biology and Medicine | Miao Yu Miaomiao Guo Shuai Zhang Yuefu Zhan Mingkang Zhao | 2023/12/1 |
Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing | Computers in Biology and Medicine | Di Yuan Yunxin Liu Zhenghua Xu Yuefu Zhan Junyang Chen | 2023/2/1 |
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation | Medical Image Analysis | Shuo Zhang Jiaojiao Zhang Biao Tian Thomas Lukasiewicz Zhenghua Xu | 2023/1/1 |
