Lukasiewicz, Thomas

e-SNLI: Natural language inference with natural language explanations

Camburu, O.-M., Rocktäschel, T., Lukasiewicz, T., & Blunsom, P. (2018) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 367

Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records

Li, Y., Mamouei, M., Salimi-Khorshidi, G., Rao, S., Hassaine, A., Canoy, D., Lukasiewicz, T., & Rahimi, K. (2023) · IEEE Journal of Biomedical and Health Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 156

Inferring neural activity before plasticity as a foundation for learning beyond backpropagation

Song, Y., Millidge, B., Salvatori, T., Lukasiewicz, T., Xu, Z., & Bogacz, R. (2024) · Nature Neuroscience

Neural dynamics and brain functionNeural Networks and Applications

Cited by 85

A Surprisingly Robust Trick for the Winograd Schema Challenge

Kocijan, V., Cretu, A.-M., Camburu, O.-M., Yordanov, Y., & Lukasiewicz, T. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 81

BoxE: A Box Embedding Model for Knowledge Base Completion

Abboud, R., Ceylan, İ. İ., Lukasiewicz, T., & Salvatori, T. (2020) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 74

Faithfulness Tests for Natural Language Explanations

Atanasova, P., Camburu, O.-M., Lioma, C., Lukasiewicz, T., Simonsen, J. G., & Augenstein, I. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 69

e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

Kayser, M., Camburu, O.-M., Salewski, L., Emde, C., Do, V., Akata, Z., & Lukasiewicz, T. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsExplainable Artificial Intelligence (XAI)

Cited by 68

Associative Memories via Predictive Coding

Salvatori, T., Song, Y., Hong, Y., Frieder, S., Sha, L., Xu, Z., Bogacz, R., & Lukasiewicz, T. (2021) · arXiv

Neural Networks and ApplicationsMemory and Neural Mechanisms

Cited by 33

Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?

Millidge, B., Salvatori, T., Song, Y., Bogacz, R., & Lukasiewicz, T. (2022) · arXiv

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 31

Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models

Millidge, B., Salvatori, T., Song, Y., Lukasiewicz, T., & Bogacz, R. (2022) · arXiv

Neural Networks and ApplicationsMemory and Neural Mechanisms

Cited by 19

Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks

Salvatori, T., Song, Y., Lukasiewicz, T., Bogacz, R., & Xu, Z. (2021) · arXiv

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 16

Explaining chest X-ray pathologies in natural language

Kayser, M., Emde, C., Camburu, O.-M., Parsons, G., Papiez, B., & Lukasiewicz, T. (2022) · Lecture Notes in Computer Science

Explainable Artificial Intelligence (XAI)Multimodal Machine Learning Applications

Cited by 14

Benchmarking Predictive Coding Networks - Made Simple

Pinchetti, L., Qi, C., Lokshyn, O., Olivers, G., Emde, C., Tang, M., M'Charrak, A., Frieder, S., Menzat, B., Bogacz, R., et al. (2024) · arXiv

Neural Networks and ApplicationsAdvanced Memory and Neural Computing

Cited by 2

A survey on neuro-mimetic deep learning via predictive coding

Salvatori, T., Mali, A., Buckley, C. L., Lukasiewicz, T., Rao, R. P. N., Friston, K., & Ororbia, A. (2026) · Neural Networks

Neural Networks and ApplicationsEmbodied and Extended Cognition

Cited by 2