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Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation



Jianfeng Wang , Thomas Lukasiewicz

* To appear at CVPR 2022, and the supplementary material can be found at the official site. The source codes are at https://github.com/Jianf-Wang/GBDL 

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Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning



Beren Millidge , Yuhang Song , Tommaso Salvatori , Thomas Lukasiewicz , Rafal Bogacz

* 31/05/22 initial upload 

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Clinical outcome prediction under hypothetical interventions -- a representation learning framework for counterfactual reasoning



Yikuan Li , Mohammad Mamouei , Shishir Rao , Abdelaali Hassaine , Dexter Canoy , Thomas Lukasiewicz , Kazem Rahimi , Gholamreza Salimi-Khorshidi


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Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence



Myeongjun Jang , Frank Mtumbuka , Thomas Lukasiewicz

* Accepted in the Findings of NAACL 2022 

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Deep Learning with Logical Constraints



Eleonora Giunchiglia , Mihaela Catalina Stoian , Thomas Lukasiewicz

* Survey paper. IJCAI 2022 

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



Beren Millidge , Tommaso Salvatori , Yuhang Song , Rafal Bogacz , Thomas Lukasiewicz

* 18/02/22 initial upload 

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



Beren Millidge , Tommaso Salvatori , Yuhang Song , Thomas Lukasiewicz , Rafal Bogacz

* 09/02/22 initial upload 

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Learning on Arbitrary Graph Topologies via Predictive Coding



Tommaso Salvatori , Luca Pinchetti , Beren Millidge , Yuhang Song , Tianyi Bao , Rafal Bogacz , Thomas Lukasiewicz

* 15 pages, 11 figures 

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The Defeat of the Winograd Schema Challenge



Vid Kocijan , Ernest Davis , Thomas Lukasiewicz , Gary Marcus , Leora Morgenstern


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