Thomas Lukasiewicz

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 261

Top Venues

University of Augsburg (PHD)

Education History

University of Augsburg

PHD

Publications

Louis Mahon, Thomas Lukasiewicz
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation. AAAI (2024)
Zhenghua Xu, Zhoutao Yu, Hexiang Zhang, Junyang Chen, Junhua Gu, Thomas Lukasiewicz, Victor C. M. Leung
PhaCIA-TCNs: Short-Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention. IEEE Trans. Netw. Sci. Eng. 11 (1) (2024)
Simon Frieder, Mirek Olsák, Julius Berner, Thomas Lukasiewicz
The IMO Small Challenge: Not-Too-Hard Olympiad Math Datasets for LLMs. Tiny Papers @ ICLR (2024)
Vid Kocijan, Myeongjun Erik Jang, Thomas Lukasiewicz
Pre-training and diagnosing knowledge base completion models. Artif. Intell. 329 (2024)
Eleonora Giunchiglia, Alex Tatomir, Mihaela Catalina Stoian, Thomas Lukasiewicz
CCN+: A neuro-symbolic framework for deep learning with requirements. Int. J. Approx. Reason. 171 (2024)
Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories in the Feature Space. CoRR (2024)
Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip H. S. Torr, Adel Bibi
Towards Certification of Uncertainty Calibration under Adversarial Attacks. CoRR (2024)
Vid Kocijan, Myeongjun Erik Jang, Thomas Lukasiewicz
Pre-training and Diagnosing Knowledge Base Completion Models. CoRR (2024)
Lei Sha, Thomas Lukasiewicz
Text Attribute Control via Closed-Loop Disentanglement. Trans. Assoc. Comput. Linguistics 12 (2024)
Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern
The Defeat of the Winograd Schema Challenge (Abstract Reprint). AAAI (2024)
Mihaela Catalina Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data. CoRR (2024)
Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR (2024)
Louis Mahon, Lei Sha, Thomas Lukasiewicz
Correcting Flaws in Common Disentanglement Metrics. Trans. Mach. Learn. Res. 2024 (2024)
Mihaela Catalina Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia
PiShield: A NeSy Framework for Learning with Requirements. CoRR (2024)
Jiaojiao Zhang, Shuo Zhang, Xiaoqian Shen, Thomas Lukasiewicz, Zhenghua Xu
Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 43 (1) (2024)
Zhenghua Xu, Biao Tian, Shijie Liu, Xiangtao Wang, Di Yuan, Junhua Gu, Junyang Chen, Thomas Lukasiewicz, Victor C. M. Leung
Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation. IEEE Trans. Netw. Sci. Eng. 11 (2) (2024)
Mihaela C. Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data. ICLR (2024)
Simon Frieder, Luca Pinchetti, Thomas Lukasiewicz
Bad Predictive Coding Activation Functions. Tiny Papers @ ICLR (2024)
Zhenghua Xu, Shengxin Wang, Gang Xu, Yunxin Liu, Miao Yu, Hongwei Zhang, Thomas Lukasiewicz, Junhua Gu
Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning. Comput. Biol. Medicine 169 (2024)
Zhenghua Xu, Jiaqi Tang, Chang Qi, Dan Yao, Caihua Liu, Yuefu Zhan, Thomas Lukasiewicz
Cross-domain attention-guided generative data augmentation for medical image analysis with limited data. Comput. Biol. Medicine 168 (2024)
Louis Mahon, Thomas Lukasiewicz
Minimum description length clustering to measure meaningful image complexity. Pattern Recognit. 145 (2024)
Luca Pinchetti, Chang Qi, Oleh Lokshyn, Gaspard Olivers, Cornelius Emde, Mufeng Tang, Amine M'Charrak, Simon Frieder, Bayar Menzat, Rafal Bogacz, Thomas Lukasiewicz, Tommaso Salvatori
Benchmarking Predictive Coding Networks - Made Simple. CoRR (2024)
Mihaela Catalina Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz
Exploiting T-norms for Deep Learning in Autonomous Driving. CoRR (2024)
Shuo Zhang, Jiaojiao Zhang, Biao Tian, Thomas Lukasiewicz, Zhenghua Xu
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation. Medical Image Anal. 83 (2023)
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
Faithfulness Tests for Natural Language Explanations. CoRR (2023)
Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. CoRR (2023)
Felix Jackson, Thomas Lukasiewicz
Deconvolution of cell-free DNA in cancer liquid biopsy using a deep AutoEncoder. BCB (2023)
Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. CoRR (2023)
Miao Yu, Miaomiao Guo, Shuai Zhang, Yuefu Zhan, Mingkang Zhao, Thomas Lukasiewicz, Zhenghua Xu
RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising. Comput. Biol. Medicine 167 (2023)
Jianfeng Wang, Xiaolin Hu, Thomas Lukasiewicz
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning. CoRR (2023)
Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro
Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Preferred Repairs. KR (2023)
Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. ICASSP (2023)
Louis Mahon, Thomas Lukasiewicz
Minimum Description Length Clustering to Measure Meaningful Image Complexity. CoRR (2023)
Louis Mahon, Lei Shah, Thomas Lukasiewicz
Correcting Flaws in Common Disentanglement Metrics. CoRR (2023)
Katherine M. Collins, Albert Q. Jiang, Simon Frieder, Lionel Wong, Miri Zilka, Umang Bhatt, Thomas Lukasiewicz, Yuhuai Wu, Joshua B. Tenenbaum, William Hart, Timothy Gowers, Wenda Li, Adrian Weller, Mateja Jamnik
Evaluating Language Models for Mathematics through Interactions. CoRR (2023)
Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. ACL (2) (2023)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. ICLR (2023)
Zhongbin Xie, Thomas Lukasiewicz
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models. ACL (1) (2023)
Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
Recurrent predictive coding models for associative memory employing covariance learning. PLoS Comput. Biol. 19 (4) (2023)
Simon Frieder, Luca Pinchetti, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, Alexis Chevalier, Julius Berner
Mathematical Capabilities of ChatGPT. CoRR (2023)
Gang Xu, Shengxin Wang, Thomas Lukasiewicz, Zhenghua Xu
Adaptive-Masking Policy with Deep Reinforcement Learning for Self-Supervised Medical Image Segmentation. ICME (2023)
Zhongbin Xie, Thomas Lukasiewicz
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models. CoRR (2023)
Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. ICML (2023)
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
Rationalizing Predictions by Adversarial Information Calibration. CoRR (2023)
Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi
Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records. IEEE J. Biomed. Health Informatics 27 (2) (2023)
Myeongjun Jang, Thomas Lukasiewicz
Consistency Analysis of ChatGPT. EMNLP (2023)
Myeongjun Jang, Thomas Lukasiewicz
Consistency Analysis of ChatGPT. CoRR (2023)
Lei Sha, Thomas Lukasiewicz
Text Attribute Control via Closed-Loop Disentanglement. CoRR (2023)
Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern
The defeat of the Winograd Schema Challenge. Artif. Intell. 325 (2023)
Zhenghua Xu, Xudong Zhang, Hexiang Zhang, Yunxin Liu, Yuefu Zhan, Thomas Lukasiewicz
EFPN: Effective medical image detection using feature pyramid fusion enhancement. Comput. Biol. Medicine 163 (2023)
Di Yuan, Yunxin Liu, Zhenghua Xu, Yuefu Zhan, Junyang Chen, Thomas Lukasiewicz
Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing. Comput. Biol. Medicine 153 (2023)
Xiangtao Wang, Ruizhi Wang, Jie Zhou, Thomas Lukasiewicz, Zhenghua Xu
AMLP: Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation. CoRR (2023)
Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai, Zhenghua Xu, Thomas Lukasiewicz
Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks. IEEE Trans. Serv. Comput. 16 (1) (2023)
Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. EACL (2023)
Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak, Beren Millidge, Thomas Lukasiewicz
Causal Inference via Predictive Coding. CoRR (2023)
Myeongjun Jang, Thomas Lukasiewicz
Improving Language Models' Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary. EMNLP (2023)
Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories in the Feature Space. ECAI (2023)
Louis Mahon, Thomas Lukasiewicz
Hard Regularization to Prevent Collapse in Online Deep Clustering without Data Augmentation. CoRR (2023)
Hexiang Zhang, Zhenghua Xu, Dan Yao, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz
Multi-Head Feature Pyramid Networks for Breast Mass Detection. CoRR (2023)
Simon Frieder, Luca Pinchetti, Alexis Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Petersen, Julius Berner
Mathematical Capabilities of ChatGPT. NeurIPS (2023)
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
Faithfulness Tests for Natural Language Explanations. ACL (2) (2023)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. ICLR (2023)
Eleonora Giunchiglia, Fergus Imrie, Mihaela van der Schaar, Thomas Lukasiewicz
Machine Learning with Requirements: a Manifesto. CoRR (2023)
Di Yuan, Zhenghua Xu, Biao Tian, Hening Wang, Yuefu Zhan, Thomas Lukasiewicz
μ-Net: Medical image segmentation using efficient and effective deep supervision. Comput. Biol. Medicine 160 (2023)
Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz
MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. CoRR (2023)
Simon Frieder, Julius Berner, Philipp Petersen, Thomas Lukasiewicz
Large Language Models for Mathematicians. CoRR (2023)
Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. CoRR (2023)
Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz
MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. ICASSP (2023)
Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz
ROAD-R: the autonomous driving dataset with logical requirements. Mach. Learn. 112 (9) (2023)
Ruizhi Wang, Xiangtao Wang, Jie Zhou, Thomas Lukasiewicz, Zhenghua Xu
C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network. CoRR (2023)
Myeongjun Erik Jang, Thomas Lukasiewicz
Improving Language Models Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary. CoRR (2023)
Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. CoRR (2023)
Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz
Exploiting T-norms for Deep Learning in Autonomous Driving. NeSy (2023)
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
Rationalizing predictions by adversarial information calibration. Artif. Intell. 315 (2023)
Tommaso Salvatori, Ankur Arjun Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
Brain-Inspired Computational Intelligence via Predictive Coding. CoRR (2023)
Hexiang Zhang, Zhenghua Xu, Dan Yao, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz
Multi-Head Feature Pyramid Networks for Breast Mass Detection. ICASSP (2023)
Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup. EMNLP (Findings) (2022)
Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern
The Defeat of the Winograd Schema Challenge. CoRR (2022)
Simon Frieder, Thomas Lukasiewicz
(Non-)Convergence Results for Predictive Coding Networks. ICML (2022)
Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz
Image-to-Image Translation with Text Guidance. BMVC (2022)
Bodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian J. McAuley
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations. ICML (2022)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? CoRR (2022)
Zihang Xu, Zhenghua Xu, Shuo Zhang, Thomas Lukasiewicz
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training. CoRR (2022)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. CoRR (2022)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. CoRR (2022)
Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz
Clustering Generative Adversarial Networks for Story Visualization. ACM Multimedia (2022)
Bowen Li, Thomas Lukasiewicz
Word-Level Fine-Grained Story Visualization. CoRR (2022)
Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz
Learning on Arbitrary Graph Topologies via Predictive Coding. NeurIPS (2022)
Lei Sha, Yuhang Song, Yordan Yordanov, Tommaso Salvatori, Thomas Lukasiewicz
Bird-Eye Transformers for Text Generation Models. CoRR (2022)
Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz
Predictive Coding beyond Gaussian Distributions. NeurIPS (2022)
Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz
ROAD-R: The Autonomous Driving Dataset with Logical Requirements. CoRR (2022)
Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz
Memory-Driven Text-to-Image Generation. BMVC (2022)
Yikuan Li, Mohammad Mamouei, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi, Gholamreza Salimi Khorshidi
Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning. CoRR (2022)
Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Learning on Arbitrary Graph Topologies via Predictive Coding. CoRR (2022)
Frank Mtumbuka, Thomas Lukasiewicz
Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction. EMNLP (2022)
Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz
Reverse Differentiation via Predictive Coding. AAAI (2022)
Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou
NP-Match: When Neural Processes meet Semi-Supervised Learning. ICML (2022)
Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz
Memory-Driven Text-to-Image Generation. CoRR (2022)
Thomas Lukasiewicz, Enrico Malizia
Pareto and Majority Voting in mCP-nets. DP@AI*IA (2022)
Louis Mahon, Thomas Lukasiewicz
Efficient Deep Clustering of Human Activities and How to Improve Evaluation. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Thomas Lukasiewicz