Thomas Lukasiewicz

501 papers A* 85A 29B 11C 10Misc 10Journal 229Unranked 101

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Deep Learning Approaches for Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, Diversity, and Beyond. Trans. Mach. Learn. Res. Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz
2026	J	`jnl`	A survey on neuro-mimetic deep learning via predictive coding. Neural Networks Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
2026	J	`jnl`	AttCL-GAN: Attentional contrastive learning-based generative adversarial network for modality completion of medical images. Knowl. Based Syst. Zhenghua Xu, Jiaqi Tang, Dan Yao, Zhenzhen Wang, Thomas Lukasiewicz
2026	J	`jnl`	C2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network. Inf. Fusion Ruizhi Wang, Zhenghua Xu, Xiangtao Wang, Weipeng Liu, Thomas Lukasiewicz
2026	J	`jnl`	Faster Predictive Coding Networks via Better Initialization. CoRR Luca Pinchetti, Simon Frieder, Thomas Lukasiewicz, Tommaso Salvatori
2026	J	`jnl`	Prototype Transformer: Towards Language Model Architectures Interpretable by Design. CoRR Yordan Yordanov, Matteo Forasassi, Bayar Menzat, Ruizhi Wang, Chang Qi, Markus Kaltenberger, Amine M'Charrak, Tommaso Salvatori, Thomas Lukasiewicz
2026	J	`jnl`	Semi-supervised medical image lesion detection based on multi-head feature fusion. Knowl. Based Syst. Zhenghua Xu, Hexiang Zhang, Runhe Yang, Weipeng Liu, Thomas Lukasiewicz
2026	J	`jnl`	Vision Hopfield Memory Networks. CoRR Jianfeng Wang, Amine M'Charrak, Luk Koska, Xiangtao Wang, Daniel Petriceanu, Mykyta Smyrnov, Ruizhi Wang, Michael Bumbar, Luca Pinchetti, Thomas Lukasiewicz
2026	J	`jnl`	Visual Set Program Synthesizer. CoRR Zehua Cheng, Wei Dai, Wenhu Zhang, Thomas Lukasiewicz, Jiahao Sun
2025	J	`jnl`	A Survey on Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, and Beyond. CoRR Mihaela Catalina Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz
2025	J	`jnl`	A general survey on medical image super-resolution via deep learning. Comput. Biol. Medicine Miao Yu, Zhenghua Xu, Thomas Lukasiewicz
2025	J	`jnl`	Aggregated Mutual Learning between CNN and Transformer for semi-supervised medical image segmentation. Knowl. Based Syst. Zhenghua Xu, Hening Wang, Runhe Yang, Yuchen Yang, Weipeng Liu, Thomas Lukasiewicz
2025	J	`jnl`	AnnoCaseLaw: A Richly-Annotated Dataset For Benchmarking Explainable Legal Judgment Prediction. CoRR Magnus Sesodia, Alina Petrova, John Armour, Thomas Lukasiewicz, Oana-Maria Camburu, Puneet K. Dokania, Philip Torr, Christian Schröder de Witt
2025	A*	`conf`	Benchmarking Predictive Coding Networks - Made Simple. ICLR Luca Pinchetti, Chang Qi, Oleh Lokshyn, Cornelius Emde, Amine M'Charrak, Mufeng Tang, Simon Frieder, Bayar Menzat, Gaspard Oliviers, Rafal Bogacz, Thomas Lukasiewicz, Tommaso Salvatori
2025	J	`jnl`	Detection-Fusion for Knowledge Graph Extraction from Videos. CoRR Taniya Das, Louis Mahon, Thomas Lukasiewicz
2025	A	`conf`	Effective and Efficient Medical Image Segmentation with Hierarchical Context Interaction. WACV Zehua Cheng, Di Yuan, Wenhu Zhang, Thomas Lukasiewicz
2025	—	`conf`	Explanations for Negative Query Answers under Inconsistency-Tolerant Semantics. SEBD Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro
2025	J	`jnl`	Explanations for query answers under existential rules. Artif. Intell. Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius
2025	J	`jnl`	Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty. IEEE Trans. Neural Networks Learn. Syst. Zhenghua Xu, Wenting Xu, Ruizhi Wang, Junyang Chen, Chang Qi, Thomas Lukasiewicz
2025	—	`conf`	Investigating Multi-layer Representations for Dense Passage Retrieval. EMNLP (Findings) Zhongbin Xie, Thomas Lukasiewicz
2025	J	`jnl`	Investigating Multi-layer Representations for Dense Passage Retrieval. CoRR Zhongbin Xie, Thomas Lukasiewicz
2025	J	`jnl`	PCA: Semi-Supervised Segmentation With Patch Confidence Adversarial Training. IEEE Trans. Netw. Sci. Eng. Zhenghua Xu, Runhe Yang, Zihang Xu, Shuo Zhang, Yuchen Yang, Weipeng Liu, Weichao Xu, Junyang Chen, Thomas Lukasiewicz, Victor C. M. Leung
2025	J	`jnl`	Self-Supervised Medical Image Segmentation Using Deep Reinforced Adaptive Masking. IEEE Trans. Medical Imaging Zhenghua Xu, Yunxin Liu, Gang Xu, Thomas Lukasiewicz
2025	A*	`conf`	Shh, don't say that! Domain Certification in LLMs. ICLR Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Guillaume Kayser, Tom Rainforth, Thomas Lukasiewicz, Philip Torr, Adel Bibi
2025	J	`jnl`	Shh, don't say that! Domain Certification in LLMs. CoRR Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Kayser, Tom Rainforth, Thomas Lukasiewicz, Bernard Ghanem, Philip H. S. Torr, Adel Bibi
2025	A*	`conf`	Towards Certification of Uncertainty Calibration under Adversarial Attacks. ICLR Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi
2025	J	`jnl`	Towards the Training of Deeper Predictive Coding Neural Networks. CoRR Chang Qi, Matteo Forasassi, Thomas Lukasiewicz, Tommaso Salvatori
2024	A*	`conf`	A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
2024	—	`conf`	Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation. BIBM Zehua Cheng, Di Yuan, Thomas Lukasiewicz
2024	J	`jnl`	Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation. CoRR Zehua Cheng, Di Yuan, Thomas Lukasiewicz
2024	J	`jnl`	Associative Memories in the Feature Space. CoRR Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2024	J	`jnl`	Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning. Comput. Biol. Medicine Zhenghua Xu, Shengxin Wang, Gang Xu, Yunxin Liu, Miao Yu, Hongwei Zhang, Thomas Lukasiewicz, Junhua Gu
2024	—	`conf`	Bad Predictive Coding Activation Functions. Tiny Papers @ ICLR Simon Frieder, Luca Pinchetti, Thomas Lukasiewicz
2024	J	`jnl`	Benchmarking Predictive Coding Networks - Made Simple. CoRR 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
2024	J	`jnl`	CCN+: A neuro-symbolic framework for deep learning with requirements. Int. J. Approx. Reason. Eleonora Giunchiglia, Alex Tatomir, Mihaela Catalina Stoian, Thomas Lukasiewicz
2024	J	`jnl`	Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation. IEEE Trans. Netw. Sci. Eng. Zhenghua Xu, Biao Tian, Shijie Liu, Xiangtao Wang, Di Yuan, Junhua Gu, Junyang Chen, Thomas Lukasiewicz, Victor C. M. Leung
2024	J	`jnl`	Correcting Flaws in Common Disentanglement Metrics. Trans. Mach. Learn. Res. Louis Mahon, Lei Sha, Thomas Lukasiewicz
2024	J	`jnl`	Cross-domain attention-guided generative data augmentation for medical image analysis with limited data. Comput. Biol. Medicine Zhenghua Xu, Jiaqi Tang, Chang Qi, Dan Yao, Caihua Liu, Yuefu Zhan, Thomas Lukasiewicz
2024	J	`jnl`	Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning. CoRR Simon Frieder, Jonas Bayer, Katherine M. Collins, Julius Berner, Jacob Loader, András Juhász, Fabian Ruehle, Sean Welleck, Gabriel Poesia, Ryan-Rhys Griffiths, Adrian Weller, Anirudh Goyal, Thomas Lukasiewicz, Timothy Gowers
2024	J	`jnl`	Dimension-independent learning rates for high-dimensional classification problems. CoRR Andrés Felipe Lerma Pineda, Philipp Petersen, Simon Frieder, Thomas Lukasiewicz
2024	J	`jnl`	Exploiting T-norms for Deep Learning in Autonomous Driving. CoRR Mihaela Catalina Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz
2024	A*	`conf`	Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting. EMNLP Maxime Kayser, Bayar Menzat, Cornelius Emde, Bogdan Bercean, Alex Novak, Abdalá Morgado, Bartlomiej W. Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu
2024	J	`jnl`	Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting. CoRR Maxime Kayser, Bayar Menzat, Cornelius Emde, Bogdan Bercean, Alex Novak, Abdala Espinosa, Bartlomiej W. Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu
2024	A*	`conf`	Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation. AAAI Louis Mahon, Thomas Lukasiewicz
2024	A*	`conf`	How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data. ICLR Mihaela C. Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia
2024	J	`jnl`	How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data. CoRR Mihaela Catalina Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia
2024	J	`jnl`	Minimum description length clustering to measure meaningful image complexity. Pattern Recognit. Louis Mahon, Thomas Lukasiewicz
2024	J	`jnl`	Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging Jiaojiao Zhang, Shuo Zhang, Xiaoqian Shen, Thomas Lukasiewicz, Zhenghua Xu
2024	—	`conf`	On the Complexity of Querying Inconsistent Weighted Knowledge Bases (Short paper). DP@AI*IA Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro
2024	J	`jnl`	PhaCIA-TCNs: Short-Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention. IEEE Trans. Netw. Sci. Eng. Zhenghua Xu, Zhoutao Yu, Hexiang Zhang, Junyang Chen, Junhua Gu, Thomas Lukasiewicz, Victor C. M. Leung
2024	J	`jnl`	PiShield: A NeSy Framework for Learning with Requirements. CoRR Mihaela Catalina Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia
2024	A*	`conf`	PiShield: A PyTorch Package for Learning with Requirements. IJCAI Mihaela C. Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia
2024	J	`jnl`	Pre-training and Diagnosing Knowledge Base Completion Models. CoRR Vid Kocijan, Myeongjun Erik Jang, Thomas Lukasiewicz
2024	J	`jnl`	Pre-training and diagnosing knowledge base completion models. Artif. Intell. Vid Kocijan, Myeongjun Erik Jang, Thomas Lukasiewicz
2024	A*	`conf`	Predictive Coding beyond Correlations. ICML Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak, Beren Millidge, Thomas Lukasiewicz
2024	J	`jnl`	Text Attribute Control via Closed-Loop Disentanglement. Trans. Assoc. Comput. Linguistics Lei Sha, Thomas Lukasiewicz
2024	A*	`conf`	The Defeat of the Winograd Schema Challenge (Abstract Reprint). AAAI Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern
2024	—	`conf`	The IMO Small Challenge: Not-Too-Hard Olympiad Math Datasets for LLMs. Tiny Papers @ ICLR Simon Frieder, Mirek Olsák, Julius Berner, Thomas Lukasiewicz
2024	J	`jnl`	Towards Certification of Uncertainty Calibration under Adversarial Attacks. CoRR Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip H. S. Torr, Adel Bibi
2023	A*	`conf`	A Theoretical Framework for Inference and Learning in Predictive Coding Networks. ICLR Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
2023	J	`jnl`	AMLP: Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation. CoRR Xiangtao Wang, Ruizhi Wang, Jie Zhou, Thomas Lukasiewicz, Zhenghua Xu
2023	A	`conf`	Adaptive-Masking Policy with Deep Reinforcement Learning for Self-Supervised Medical Image Segmentation. ICME Gang Xu, Shengxin Wang, Thomas Lukasiewicz, Zhenghua Xu
2023	—	`conf`	An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models. ACL (1) Zhongbin Xie, Thomas Lukasiewicz
2023	J	`jnl`	An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models. CoRR Zhongbin Xie, Thomas Lukasiewicz
2023	A	`conf`	Associative Memories in the Feature Space. ECAI Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2023	A*	`conf`	Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. ICLR Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
2023	J	`jnl`	Brain-Inspired Computational Intelligence via Predictive Coding. CoRR Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
2023	J	`jnl`	C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network. CoRR Ruizhi Wang, Xiangtao Wang, Jie Zhou, Thomas Lukasiewicz, Zhenghua Xu
2023	J	`jnl`	Causal Inference via Predictive Coding. CoRR Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak, Beren Millidge, Thomas Lukasiewicz
2023	A*	`conf`	Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Preferred Repairs. KR Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro
2023	A*	`conf`	Consistency Analysis of ChatGPT. EMNLP Myeongjun Jang, Thomas Lukasiewicz
2023	J	`jnl`	Consistency Analysis of ChatGPT. CoRR Myeongjun Jang, Thomas Lukasiewicz
2023	J	`jnl`	Correcting Flaws in Common Disentanglement Metrics. CoRR Louis Mahon, Lei Shah, Thomas Lukasiewicz
2023	A	`conf`	Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. EACL Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
2023	J	`jnl`	Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. CoRR Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
2023	—	`conf`	Deconvolution of cell-free DNA in cancer liquid biopsy using a deep AutoEncoder. BCB Felix Jackson, Thomas Lukasiewicz
2023	J	`jnl`	EFPN: Effective medical image detection using feature pyramid fusion enhancement. Comput. Biol. Medicine Zhenghua Xu, Xudong Zhang, Hexiang Zhang, Yunxin Liu, Yuefu Zhan, Thomas Lukasiewicz
2023	J	`jnl`	Evaluating Language Models for Mathematics through Interactions. CoRR 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
2023	C	`conf`	Exploiting T-norms for Deep Learning in Autonomous Driving. NeSy Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz
2023	—	`conf`	Faithfulness Tests for Natural Language Explanations. ACL (2) Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
2023	J	`jnl`	Faithfulness Tests for Natural Language Explanations. CoRR Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
2023	J	`jnl`	Hard Regularization to Prevent Collapse in Online Deep Clustering without Data Augmentation. CoRR Louis Mahon, Thomas Lukasiewicz
2023	J	`jnl`	Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records. IEEE J. Biomed. Health Informatics Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi
2023	J	`jnl`	Improving Language Models Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary. CoRR Myeongjun Erik Jang, Thomas Lukasiewicz
2023	A*	`conf`	Improving Language Models' Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary. EMNLP Myeongjun Jang, Thomas Lukasiewicz
2023	—	`conf`	KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. ACL (2) Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu
2023	J	`jnl`	KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. CoRR Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu
2023	J	`jnl`	Large Language Models for Mathematicians. CoRR Simon Frieder, Julius Berner, Philipp Petersen, Thomas Lukasiewicz
2023	Misc	`conf`	MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. ICASSP Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu
2023	J	`jnl`	MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. CoRR Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu
2023	J	`jnl`	Machine Learning with Requirements: a Manifesto. CoRR Eleonora Giunchiglia, Fergus Imrie, Mihaela van der Schaar, Thomas Lukasiewicz
2023	A*	`conf`	Mathematical Capabilities of ChatGPT. NeurIPS Simon Frieder, Luca Pinchetti, Alexis Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Petersen, Julius Berner
2023	J	`jnl`	Mathematical Capabilities of ChatGPT. CoRR Simon Frieder, Luca Pinchetti, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, Alexis Chevalier, Julius Berner
2023	J	`jnl`	Minimum Description Length Clustering to Measure Meaningful Image Complexity. CoRR Louis Mahon, Thomas Lukasiewicz
2023	Misc	`conf`	Multi-Head Feature Pyramid Networks for Breast Mass Detection. ICASSP Hexiang Zhang, Zhenghua Xu, Dan Yao, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz
2023	J	`jnl`	Multi-Head Feature Pyramid Networks for Breast Mass Detection. CoRR Hexiang Zhang, Zhenghua Xu, Dan Yao, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz
2023	J	`jnl`	Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation. Medical Image Anal. Shuo Zhang, Jiaojiao Zhang, Biao Tian, Thomas Lukasiewicz, Zhenghua Xu
2023	Misc	`conf`	MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. ICASSP Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz
2023	J	`jnl`	MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. CoRR Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz
2023	J	`jnl`	NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning. CoRR Jianfeng Wang, Xiaolin Hu, Thomas Lukasiewicz
2023	A*	`conf`	NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. ICML Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
2023	J	`jnl`	NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. CoRR Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
2023	J	`jnl`	Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing. Comput. Biol. Medicine Di Yuan, Yunxin Liu, Zhenghua Xu, Yuefu Zhan, Junyang Chen, Thomas Lukasiewicz
2023	J	`jnl`	RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising. Comput. Biol. Medicine Miao Yu, Miaomiao Guo, Shuai Zhang, Yuefu Zhan, Mingkang Zhao, Thomas Lukasiewicz, Zhenghua Xu
2023	J	`jnl`	ROAD-R: the autonomous driving dataset with logical requirements. Mach. Learn. Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz
2023	J	`jnl`	Rationalizing Predictions by Adversarial Information Calibration. CoRR Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
2023	J	`jnl`	Rationalizing predictions by adversarial information calibration. Artif. Intell. Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
2023	J	`jnl`	Recurrent predictive coding models for associative memory employing covariance learning. PLoS Comput. Biol. Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
2023	J	`jnl`	Text Attribute Control via Closed-Loop Disentanglement. CoRR Lei Sha, Thomas Lukasiewicz
2023	J	`jnl`	The defeat of the Winograd Schema Challenge. Artif. Intell. Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern
2023	J	`jnl`	Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks. IEEE Trans. Serv. Comput. Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai, Zhenghua Xu, Thomas Lukasiewicz
2023	J	`jnl`	μ-Net: Medical image segmentation using efficient and effective deep supervision. Comput. Biol. Medicine Di Yuan, Zhenghua Xu, Biao Tian, Hening Wang, Yuefu Zhan, Thomas Lukasiewicz
2022	A*	`conf`	(Non-)Convergence Results for Predictive Coding Networks. ICML Simon Frieder, Thomas Lukasiewicz
2022	J	`jnl`	A Theoretical Framework for Inference and Learning in Predictive Coding Networks. CoRR Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
2022	J	`jnl`	An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure. IEEE J. Biomed. Health Informatics Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi
2022	B	`conf`	BECEL: Benchmark for Consistency Evaluation of Language Models. COLING Myeongjun Jang, Deuk Sin Kwon, Thomas Lukasiewicz
2022	J	`jnl`	Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. CoRR Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
2022	—	`conf`	Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence. NAACL-HLT (Findings) Myeongjun Jang, Frank Mtumbuka, Thomas Lukasiewicz
2022	J	`jnl`	Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence. CoRR Myeongjun Jang, Frank Mtumbuka, Thomas Lukasiewicz
2022	J	`jnl`	Bird-Eye Transformers for Text Generation Models. CoRR Lei Sha, Yuhang Song, Yordan Yordanov, Tommaso Salvatori, Thomas Lukasiewicz
2022	J	`jnl`	Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning. CoRR Yikuan Li, Mohammad Mamouei, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi, Gholamreza Salimi Khorshidi
2022	A*	`conf`	Clustering Generative Adversarial Networks for Story Visualization. ACM Multimedia Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz
2022	—	`conf`	Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs. SEBD Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius
2022	J	`jnl`	Complexity results for preference aggregation over ( Artif. Intell. Thomas Lukasiewicz, Enrico Malizia
2022	A*	`conf`	Deep Learning with Logical Constraints. IJCAI Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz
2022	J	`jnl`	Deep Learning with Logical Constraints. CoRR Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz
2022	—	`conf`	Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports. EDBT/ICDT Workshops Zehua Cheng, Lianlong Wu, Thomas Lukasiewicz, Emanuel Sallinger, Georg Gottlob
2022	C	`conf`	Efficient Deep Clustering of Human Activities and How to Improve Evaluation. ACML Louis Mahon, Thomas Lukasiewicz
2022	J	`jnl`	Efficient Deep Clustering of Human Activities and How to Improve Evaluation. CoRR Louis Mahon, Thomas Lukasiewicz
2022	—	`conf`	Explaining Chest X-Ray Pathologies in Natural Language. MICCAI (5) Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz
2022	J	`jnl`	Explaining Chest X-ray Pathologies in Natural Language. CoRR Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz
2022	—	`conf`	Explanations for Inconsistency-Tolerant Query Answering under Existential Rules. SEBD Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro
2022	—	`conf`	Explanations for Negative Query Answers under Existential Rules. DP@AI*IA Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius
2022	A*	`conf`	Explanations for Negative Query Answers under Inconsistency-Tolerant Semantics. IJCAI Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro
2022	—	`conf`	Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup. EMNLP (Findings) Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
2022	J	`jnl`	Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty. CoRR Wenting Xu, Zhenghua Xu, Junyang Chen, Chang Qi, Thomas Lukasiewicz
2022	A	`conf`	Image-to-Image Translation with Text Guidance. BMVC Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz
2022	J	`jnl`	Inconsistency-tolerant query answering for existential rules. Artif. Intell. Thomas Lukasiewicz, Enrico Malizia, Maria Vanina Martinez, Cristian Molinaro, Andreas Pieris, Gerardo I. Simari
2022	J	`jnl`	Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz
2022	A*	`conf`	Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations. ICML Bodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian J. McAuley
2022	A*	`conf`	Learning on Arbitrary Graph Topologies via Predictive Coding. NeurIPS Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz
2022	J	`jnl`	Learning on Arbitrary Graph Topologies via Predictive Coding. CoRR Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2022	—	`conf`	Learning to Model Multimodal Semantic Alignment for Story Visualization. EMNLP (Findings) Bowen Li, Thomas Lukasiewicz
2022	J	`jnl`	Learning to Model Multimodal Semantic Alignment for Story Visualization. CoRR Bowen Li, Thomas Lukasiewicz
2022	J	`jnl`	Lightweight Long-Range Generative Adversarial Networks. CoRR Bowen Li, Thomas Lukasiewicz
2022	A	`conf`	Memory-Driven Text-to-Image Generation. BMVC Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz
2022	J	`jnl`	Memory-Driven Text-to-Image Generation. CoRR Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz
2022	A*	`conf`	NP-Match: When Neural Processes meet Semi-Supervised Learning. ICML Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou
2022	J	`jnl`	NP-Match: When Neural Processes meet Semi-Supervised Learning. CoRR Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou
2022	J	`jnl`	NoiER: An Approach for Training More Reliable Fine-Tuned Downstream Task Models. IEEE ACM Trans. Audio Speech Lang. Process. Myeongjun Jang, Thomas Lukasiewicz
2022	J	`jnl`	PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training. CoRR Zihang Xu, Zhenghua Xu, Shuo Zhang, Thomas Lukasiewicz
2022	—	`conf`	Pareto and Majority Voting in mCP-nets. DP@AI*IA Thomas Lukasiewicz, Enrico Malizia
2022	A*	`conf`	Predictive Coding beyond Gaussian Distributions. NeurIPS Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz
2022	J	`jnl`	Predictive Coding beyond Gaussian Distributions. CoRR Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz
2022	A*	`conf`	Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2022	J	`jnl`	Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? CoRR Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2022	—	`conf`	Query Answer Explanations under Existential Rules. SEBD Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius
2022	J	`jnl`	ROAD-R: The Autonomous Driving Dataset with Logical Requirements. CoRR Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz
2022	A*	`conf`	Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation. CVPR Jianfeng Wang, Thomas Lukasiewicz
2022	J	`jnl`	Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation. CoRR Jianfeng Wang, Thomas Lukasiewicz
2022	A*	`conf`	Reverse Differentiation via Predictive Coding. AAAI Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz
2022	J	`jnl`	Robust Graph Representation Learning via Predictive Coding. CoRR Billy Byiringiro, Tommaso Salvatori, Thomas Lukasiewicz
2022	A*	`conf`	Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction. EMNLP Frank Mtumbuka, Thomas Lukasiewicz
2022	J	`jnl`	The Defeat of the Winograd Schema Challenge. CoRR Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern
2022	A*	`conf`	Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. ICML Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
2022	J	`jnl`	Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. CoRR Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
2022	J	`jnl`	Word-Level Fine-Grained Story Visualization. CoRR Bowen Li, Thomas Lukasiewicz
2022	J	`jnl`	ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution. Neurocomputing Zhenghua Xu, Shijie Liu, Di Yuan, Lei Wang, Junyang Chen, Thomas Lukasiewicz, Zhigang Fu, Rui Zhang
2021	J	`jnl`	Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models. CoRR Myeongjun Jang, Deuk Sin Kwon, Thomas Lukasiewicz
2021	J	`jnl`	An explainable Transformer-based deep learning model for the prediction of incident heart failure. CoRR Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi
2021	J	`jnl`	An ontology-based deep learning approach for triple classification with out-of-knowledge-base entities. Inf. Sci. Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique, Patrick Hohenecker, Thomas Lukasiewicz
2021	J	`jnl`	Are Training Resources Insufficient? Predict First Then Explain! CoRR Myeongjun Jang, Thomas Lukasiewicz
2021	A*	`conf`	Associative Memories via Predictive Coding. NeurIPS Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
2021	J	`jnl`	Associative Memories via Predictive Coding. CoRR Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
2021	—	`conf`	Controlling Text Edition by Changing Answers of Specific Questions. ACL/IJCNLP (Findings) Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz
2021	J	`jnl`	Controlling Text Edition by Changing Answers of Specific Questions. CoRR Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz
2021	J	`jnl`	Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations. CoRR Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
2021	J	`jnl`	Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records. CoRR Yikuan Li, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi
2021	—	`conf`	Knowledge Base Completion Meets Transfer Learning. EMNLP (1) Vid Kocijan, Thomas Lukasiewicz
2021	J	`jnl`	Knowledge Base Completion Meets Transfer Learning. CoRR Vid Kocijan, Thomas Lukasiewicz
2021	A*	`conf`	Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration. AAAI Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
2021	A	`conf`	Lightweight Visual Question Answering using Scene Graphs. CIKM Sai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang
2021	J	`jnl`	Multi-Label Classification Neural Networks with Hard Logical Constraints. CoRR Eleonora Giunchiglia, Thomas Lukasiewicz
2021	J	`jnl`	Multi-Label Classification Neural Networks with Hard Logical Constraints. J. Artif. Intell. Res. Eleonora Giunchiglia, Thomas Lukasiewicz
2021	A*	`conf`	Multi-type Disentanglement without Adversarial Training. AAAI Lei Sha, Thomas Lukasiewicz
2021	J	`jnl`	NoiER: An Approach for Training more Reliable Fine-TunedDownstream Task Models. CoRR Myeongjun Jang, Thomas Lukasiewicz
2021	J	`jnl`	Predictive Coding Can Do Exact Backpropagation on Any Neural Network. CoRR Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
2021	J	`jnl`	Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. CoRR Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
2021	A*	`conf`	Preferred Explanations for Ontology-Mediated Queries under Existential Rules. AAAI Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius
2021	A*	`conf`	RSG: A Simple but Effective Module for Learning Imbalanced Datasets. CVPR Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu
2021	J	`jnl`	RSG: A Simple but Effective Module for Learning Imbalanced Datasets. CoRR Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu
2021	J	`jnl`	Rationale production to support clinical decision-making. CoRR Niall Taylor, Lei Sha, Dan W. Joyce, Thomas Lukasiewicz, Alejo J. Nevado-Holgado, Andrey Kormilitzin
2021	J	`jnl`	Rationale-Inspired Natural Language Explanations with Commonsense. CoRR Bodhisattwa Prasad Majumder, Oana-Maria Camburu, Thomas Lukasiewicz, Julian J. McAuley
2021	J	`jnl`	Risk factor identification for incident heart failure using neural network distillation and variable selection. CoRR Yikuan Li, Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Dexter Canoy, Abdelaali Hassaïne, Thomas Lukasiewicz
2021	Misc	`conf`	Selective Pseudo-Label Clustering. KI Louis Mahon, Thomas Lukasiewicz
2021	J	`jnl`	Selective Pseudo-label Clustering. CoRR Louis Mahon, Thomas Lukasiewicz
2021	J	`jnl`	Stable Model Semantics for Guarded Existential Rules and Description Logics: Decidability and Complexity. J. ACM Georg Gottlob, André Hernich, Clemens Kupke, Thomas Lukasiewicz
2021	A*	`conf`	The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. AAAI Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz
2021	A*	`conf`	The Surprising Power of Graph Neural Networks with Random Node Initialization. IJCAI Ralph Abboud, Ismail Ilkan Ceylan, Martin Grohe, Thomas Lukasiewicz
2021	A*	`conf`	e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. ICCV Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz
2021	J	`jnl`	e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. CoRR Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz
2020	J	`jnl`	A Review of Winograd Schema Challenge Datasets and Approaches. CoRR Vid Kocijan, Thomas Lukasiewicz, Ernest Davis, Gary Marcus, Leora Morgenstern
2020	A*	`conf`	Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. AAAI Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu
2020	A*	`conf`	BoxE: A Box Embedding Model for Knowledge Base Completion. NeurIPS Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori
2020	J	`jnl`	BoxE: A Box Embedding Model for Knowledge Base Completion. CoRR Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori
2020	A*	`conf`	Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks. NeurIPS Yuhang Song, Thomas Lukasiewicz, Zhenghua Xu, Rafal Bogacz
2020	A*	`conf`	Coherent Hierarchical Multi-Label Classification Networks. NeurIPS Eleonora Giunchiglia, Thomas Lukasiewicz
2020	J	`jnl`	Coherent Hierarchical Multi-Label Classification Networks. CoRR Eleonora Giunchiglia, Thomas Lukasiewicz
2020	J	`jnl`	Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting. Semantic Web Vito Walter Anelli, Renato De Leone, Tommaso Di Noia, Thomas Lukasiewicz, Jessica Rosati
2020	J	`jnl`	Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records. CoRR Yikuan Li, Shishir Rao, Abdelaali Hassaïne, Rema Ramakrishnan, Yajie Zhu, Dexter Canoy, Gholamreza Salimi Khorshidi, Thomas Lukasiewicz, Kazem Rahimi
2020	J	`jnl`	Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey. CoRR Dan Zhao, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Minmin Xue, Zhigang Fu
2020	—	`conf`	Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution. EMNLP (1) Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz
2020	J	`jnl`	Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution. CoRR Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz
2020	J	`jnl`	Efficient Medical Image Segmentation with Intermediate Supervision Mechanism. CoRR Di Yuan, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu, Guizhi Xu
2020	A*	`conf`	Explanations for Inconsistency-Tolerant Query Answering under Existential Rules. AAAI Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro
2020	A*	`conf`	Explanations for Negative Query Answers under Existential Rules. KR Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius
2020	—	`conf`	Explanations for Ontology-Mediated Query Answering in Description Logics (Extended Abstract). Description Logics Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius
2020	A	`conf`	Explanations for Ontology-Mediated Query Answering in Description Logics. ECAI Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius
2020	C	`conf`	Extracting Outcomes from Appellate Decisions in US State Courts. JURIX Alina Petrova, John Armour, Thomas Lukasiewicz
2020	Misc	`conf`	Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. ICASSP Zhenghua Xu, Di Yuan, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Guizhi Xu
2020	J	`jnl`	Image-to-Image Translation with Text Guidance. CoRR Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz
2020	C	`conf`	Knowledge Graph Extraction from Videos. ICMLA Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz
2020	J	`jnl`	Knowledge Graph Extraction from Videos. CoRR Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz
2020	J	`jnl`	Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration. CoRR Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
2020	A*	`conf`	Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting. AAAI Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz
2020	A*	`conf`	Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation. NeurIPS Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz
2020	J	`jnl`	Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation. CoRR Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz
2020	A*	`conf`	Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. ACL Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
2020	A*	`conf`	ManiGAN: Text-Guided Image Manipulation. CVPR Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr
2020	A*	`conf`	Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. AAAI Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu
2020	J	`jnl`	Multi-type Disentanglement without Adversarial Training. CoRR Lei Sha, Thomas Lukasiewicz
2020	A*	`conf`	Ontology Reasoning with Deep Neural Networks (Extended Abstract). IJCAI Patrick Hohenecker, Thomas Lukasiewicz
2020	J	`jnl`	Ontology Reasoning with Deep Neural Networks. J. Artif. Intell. Res. Patrick Hohenecker, Thomas Lukasiewicz
2020	J	`jnl`	Partially observable game-theoretic agent programming in Golog. Int. J. Approx. Reason. Alberto Finzi, Thomas Lukasiewicz
2020	J	`jnl`	Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty. CoRR Wenting Xu, Chang Qi, Zhenghua Xu, Thomas Lukasiewicz
2020	J	`jnl`	SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images. CoRR Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu
2020	—	`conf`	Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction. EMNLP (1) Patrick Hohenecker, Frank Mtumbuka, Vid Kocijan, Thomas Lukasiewicz
2020	J	`jnl`	The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. CoRR Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz
2020	J	`jnl`	The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets. CoRR Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom
2020	J	`jnl`	The Surprising Power of Graph Neural Networks with Random Node Initialization. CoRR Ralph Abboud, Ismail Ilkan Ceylan, Martin Grohe, Thomas Lukasiewicz
2020	J	`jnl`	e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations. CoRR Virginie Do, Oana-Maria Camburu, Zeynep Akata, Thomas Lukasiewicz
2020	J	`jnl`	w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution. CoRR Bo Wang, Lei Wang, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu
2019	J	`jnl`	A Surprisingly Robust Trick for Winograd Schema Challenge. CoRR Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz
2019	—	`conf`	A Surprisingly Robust Trick for the Winograd Schema Challenge. ACL (1) Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz
2019	Misc	`conf`	An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities. DCAI Elvira Amador-Domínguez, Patrick Hohenecker, Thomas Lukasiewicz, Daniel Manrique, Emilio Serrano
2019	J	`jnl`	Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. CoRR Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu
2019	J	`jnl`	Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods. CoRR Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom
2019	A*	`conf`	Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs. AAAI Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius
2019	J	`jnl`	Complexity results for preference aggregation over ( Artif. Intell. Thomas Lukasiewicz, Enrico Malizia
2019	A*	`conf`	Controllable Text-to-Image Generation. NeurIPS Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr
2019	J	`jnl`	Controllable Text-to-Image Generation. CoRR Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr
2019	J	`jnl`	Distributed Low Precision Training Without Mixed Precision. CoRR Zehua Cheng, Weiyang Wang, Yan Pan, Thomas Lukasiewicz
2019	A*	`conf`	Diversity-Driven Extensible Hierarchical Reinforcement Learning. AAAI Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu
2019	A*	`conf`	Explanations for Query Answers under Existential Rules. IJCAI Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius
2019	J	`jnl`	Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting. CoRR Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz
2019	Misc	`conf`	Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment. ICASSP Bo Li, Zehua Cheng, Zhenghua Xu, Wei Ye, Thomas Lukasiewicz, Shikun Zhang
2019	J	`jnl`	Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. CoRR Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
2019	J	`jnl`	ManiGAN: Text-Guided Image Manipulation. CoRR Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr
2019	J	`jnl`	Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. CoRR Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Mai Xu
2019	—	`conf`	Ontology-Mediated Query Answering over Log-Linear Probabilistic Data (Abstract). Description Logics Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz
2019	A*	`conf`	Ontology-Mediated Query Answering over Log-Linear Probabilistic Data. AAAI Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz
2019	—	`conf`	WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. EMNLP/IJCNLP (1) Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz
2019	J	`jnl`	WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. CoRR Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz
2018	—	`conf`	A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases. RW Ismail Ilkan Ceylan, Thomas Lukasiewicz
2018	J	`jnl`	Complexity Results for Preference Aggregation over (m)CP-nets: Pareto and Majority Voting. CoRR Thomas Lukasiewicz, Enrico Malizia
2018	A*	`conf`	Complexity of Approximate Query Answering under Inconsistency in Datalog+/-. IJCAI Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro
2018	—	`conf`	Complexity of Approximate Query Answering under Inconsistency in Datalog+/-. SEBD Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro
2018	J	`jnl`	Diversity-Driven Extensible Hierarchical Reinforcement Learning. CoRR Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu
2018	—	`conf`	Learning Structured Video Descriptions: Automated Video Knowledge Extraction for Video Understanding Tasks. OTM Conferences (2) Daniel Vasile, Thomas Lukasiewicz
2018	J	`jnl`	Lightweight Tag-Aware Personalized Recommendation on the Social Web Using Ontological Similarity. IEEE Access Zhenghua Xu, Oana Tifrea-Marciuska, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Cheng Chen
2018	J	`jnl`	Ontological query answering under many-valued group preferences in Datalog+/-. Int. J. Approx. Reason. Bettina Fazzinga, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska
2018	J	`jnl`	Ontology Reasoning with Deep Neural Networks. CoRR Patrick Hohenecker, Thomas Lukasiewicz
2018	—	`ed.`	Proceedings of the Second Workshop on Logics for Reasoning about Preferences, Uncertainty, and Vagueness co-located with the 9th International Joint Conference on Automated Reasoning, PRUV@IJCAR 2018, Oxford, UK, July 19th, 2018. PRUV@IJCAR Thomas Lukasiewicz, Rafael Peñaloza, Anni-Yasmin Turhan
2018	A*	`conf`	Recent Advances in Querying Probabilistic Knowledge Bases. IJCAI Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz
2018	A*	`conf`	e-SNLI: Natural Language Inference with Natural Language Explanations. NeurIPS Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom
2018	J	`jnl`	e-SNLI: Natural Language Inference with Natural Language Explanations. CoRR Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom
2017	J	`jnl`	A novel characterization of the complexity class ϴ Theor. Comput. Sci. Thomas Lukasiewicz, Enrico Malizia
2017	J	`jnl`	Deep Learning for Ontology Reasoning. CoRR Patrick Hohenecker, Thomas Lukasiewicz
2017	J	`jnl`	Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. CoRR Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao
2017	—	`conf`	Location-Aware News Recommendation Using Deep Localized Semantic Analysis. DASFAA (1) Cheng Chen, Thomas Lukasiewicz, Xiangwu Meng, Zhenghua Xu
2017	J	`jnl`	Location-Aware Personalized News Recommendation With Deep Semantic Analysis. IEEE Access Cheng Chen, Xiangwu Meng, Zhenghua Xu, Thomas Lukasiewicz
2017	J	`jnl`	Many Facets of Reasoning Under Uncertainty, Inconsistency, Vagueness, and Preferences: A Brief Survey. Künstliche Intell. Gabriele Kern-Isberner, Thomas Lukasiewicz
2017	A*	`conf`	Most Probable Explanations for Probabilistic Database Queries. IJCAI Ismail Ilkan Ceylan, Stefan Borgwardt, Thomas Lukasiewicz
2017	—	`book`	Ontology-Based Data Access Leveraging Subjective Reports Gerardo I. Simari, Cristian Molinaro, Maria Vanina Martinez, Thomas Lukasiewicz, Livia Predoiu
2017	A*	`conf`	Ontology-Mediated Queries for Probabilistic Databases. AAAI Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz
2017	J	`jnl`	Preface to the Speical Issue on Reasoning about Preferences, Uncertainty, and Vagueness. FLAP Thomas Lukasiewicz, Rafael Peñaloza, Anni-Yasmin Turhan
2017	A*	`conf`	Query Answering in Ontologies under Preference Rankings. IJCAI Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Peñaloza, Oana Tifrea-Marciuska
2017	J	`jnl`	Special Issue on Challenges for Reasoning under Uncertainty, Inconsistency, Vagueness, and Preferences - A Topical Snapshot. Künstliche Intell. Gabriele Kern-Isberner, Thomas Lukasiewicz
2017	A*	`conf`	Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. IJCAI Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng
2017	—	`conf`	Uncertainty Reasoning for the Semantic Web. RW Thomas Lukasiewicz
2016	A*	`conf`	Basic Probabilistic Ontological Data Exchange with Existential Rules. AAAI Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari
2016	A	`conf`	Complexity Results for Probabilistic Datalog ECAI Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Peñaloza
2016	A	`conf`	Complexity of Threshold Query Answering in Probabilistic Ontological Data Exchange. ECAI Thomas Lukasiewicz, Livia Predoiu
2016	A*	`conf`	Generalized Consistent Query Answering under Existential Rules. KR Thomas Eiter, Thomas Lukasiewicz, Livia Predoiu
2016	A*	`conf`	On the Complexity of mCP-nets. AAAI Thomas Lukasiewicz, Enrico Malizia
2016	A*	`conf`	Preferential Query Answering over the Semantic Web with Possibilistic Networks. IJCAI Stefan Borgwardt, Bettina Fazzinga, Thomas Lukasiewicz, Akanksha Shrivastava, Oana Tifrea-Marciuska
2016	A*	`conf`	Probabilistic Models over Weighted Orderings: Fixed-Parameter Tractable Variable Elimination. KR Thomas Lukasiewicz, Maria Vanina Martinez, David Poole, Gerardo Ignacio Simari
2016	—	`ed.`	Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016), Kobe, Japan, October 17, 2016. URSW@ISWC Fernando Bobillo, Rommel N. Carvalho, Davide Ceolin, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool
2016	—	`conf`	Ranking Answers to Datalog+/- Ontologies based on Trust and Reliability of Subjective Reports. Computational Models of Rationality Thomas Lukasiewicz, Maria Vanina Martinez, Cristian Molinaro, Livia Predoiu, Gerardo I. Simari
2016	A	`conf`	Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. CIKM Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao, Xiangwu Meng
2015	—	`conf`	Answering EL Queries in the Presence of Preferences. Description Logics Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Peñaloza
2015	A*	`conf`	Combining Existential Rules with the Power of CP-Theories. IJCAI Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martínez, Gerardo I. Simari, Oana Tifrea-Marciuska
2015	—	`conf`	Existential Rules and Bayesian Networks for Probabilistic Ontological Data Exchange. RuleML Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari
2015	A*	`conf`	From Classical to Consistent Query Answering under Existential Rules. AAAI Thomas Lukasiewicz, Maria Vanina Martinez, Andreas Pieris, Gerardo I. Simari
2015	—	`conf`	From Classical to Consistent Query Answering under Existential Rules. AMW Thomas Lukasiewicz, Maria Vanina Martinez, Andreas Pieris, Gerardo I. Simari
2015	J	`jnl`	Preface. Ann. Math. Artif. Intell. Thomas Lukasiewicz, Attila Sali
2015	—	`conf`	Preference Queries with Ceteris Paribus Semantics for Linked Data. OTM Conferences Jessica Rosati, Tommaso Di Noia, Thomas Lukasiewicz, Renato De Leone, Andrea Maurino
2015	J	`jnl`	Preference-Based Query Answering in Probabilistic Datalog+/- Ontologies. J. Data Semant. Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska
2015	—	`conf`	Probabilistic Ontological Data Exchange with Bayesian Networks. URSW@ISWC Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari
2015	—	`ed.`	Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, USA, October 12, 2015. URSW@ISWC Fernando Bobillo, Rommel N. Carvalho, Davide Ceolin, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool
2014	—	`conf`	Answering Ontological Ranking Queries Based on Subjective Reports. PRUV Thomas Lukasiewicz, Maria Vanina Martinez, Cristian Molinaro, Livia Predoiu, Gerardo I. Simari
2014	—	`conf`	Answering Ontological Ranking Queries Based on Subjective Reports. SUM Thomas Lukasiewicz, Maria Vanina Martínez, Cristian Molinaro, Livia Predoiu, Gerardo I. Simari
2014	—	`conf`	Computing k-Rank Answers with Ontological CP-Nets. PRUV Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska
2014	—	`conf`	Computing k-rank answers with Ontological CP-Nets. SEBD Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska
2014	A*	`conf`	Datalog+/-: Questions and Answers. KR Georg Gottlob, Thomas Lukasiewicz, Andreas Pieris
2014	—	`conf`	Improving Personalized Search on the Social Web Based on Similarities between Users. SUM Zhenghua Xu, Thomas Lukasiewicz, Oana Tifrea-Marciuska
2014	—	`conf`	Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/-. URSW (LNCS Vol.) Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari
2014	—	`conf`	Ontological CP-Nets. URSW (LNCS Vol.) Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska
2014	J	`jnl`	Ontology-Based Query Answering with Group Preferences. ACM Trans. Internet Techn. Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska
2014	A	`conf`	Probabilistic Preference Logic Networks. ECAI Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari
2014	—	`ed.`	Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, October 19, 2014. URSW Fernando Bobillo, Rommel N. Carvalho, Davide Ceolin, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool, Tom De Nies, Olaf Hartig, Paul Groth, Stephen Marsh
2014	—	`ed.`	Proceedings of the First Workshop on Logics for Reasoning about Preferences, Uncertainty, and Vagueness, PRUV 2014, co-located with 7th International Joint Conference on Automated Reasoning (IJCAR 2014), Vienna, Austria, July 23-24, 2014. PRUV Thomas Lukasiewicz, Rafael Peñaloza, Anni-Yasmin Turhan
2014	A*	`conf`	Stable Model Semantics for Guarded Existential Rules and Description Logics. KR Georg Gottlob, André Hernich, Clemens Kupke, Thomas Lukasiewicz
2014	—	`ed.`	Uncertainty Reasoning for the Semantic Web III - ISWC International Workshops, URSW 2011-2013, Revised Selected Papers URSW (LNCS Vol.) Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool
2013	J	`jnl`	Causes and Explanations in the Structural-Model Approach: Tractable Cases CoRR Thomas Eiter, Thomas Lukasiewicz
2013	—	`conf`	Combining CP-Nets with the Power of Ontologies. AAAI (Late-Breaking Developments) Tommaso Di Noia, Thomas Lukasiewicz
2013	—	`conf`	Complexity of Inconsistency-Tolerant Query Answering in Datalog+/-. Description Logics Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari
2013	—	`conf`	Complexity of Inconsistency-Tolerant Query Answering in Datalog+/-. OTM Conferences Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari
2013	J	`jnl`	Credal Networks under Maximum Entropy CoRR Thomas Lukasiewicz
2013	—	`conf`	Group Preferences for Query Answering in Datalog+/- Ontologies. SUM Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska
2013	—	`conf`	Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/-. URSW Thomas Lukasiewicz, Livia Predoiu
2013	J	`jnl`	Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge CoRR Thomas Lukasiewicz
2013	—	`conf`	On Ontologies and CP-Nets. SEBD Tommaso Di Noia, Thomas Lukasiewicz
2013	J	`jnl`	Preface. Semantic Web Diego Calvanese, Thomas Lukasiewicz
2013	—	`conf`	Preference-Based Query Answering in Datalog+/- Ontologies. Description Logics Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari
2013	A*	`conf`	Preference-Based Query Answering in Datalog+/- Ontologies. IJCAI Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo Ignacio Simari
2013	—	`conf`	Preference-Based Query Answering in Probabilistic Datalog+/- Ontologies. OTM Conferences Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari
2013	J	`jnl`	Probabilistic Logic Programming under Inheritance with Overriding CoRR Thomas Lukasiewicz
2013	—	`ed.`	Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web co-located with the 12th International Semantic Web Conference (ISWC 2013), Sydney, Australia, October 21, 2013. URSW Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool
2013	—	`conf`	Query Answering in Datalog+/- Ontologies under Group Preferences and Probabilistic Uncertainty. ICWE Workshops Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska
2013	—	`conf`	Query Answering in Probabilistic Datalog+/- Ontologies under Group Preferences. Web Intelligence Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska
2013	J	`jnl`	Query answering under probabilistic uncertainty in Datalog+ / - ontologies. Ann. Math. Artif. Intell. Georg Gottlob, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari
2013	—	`conf`	Reasoning with DL-based CP-nets. Description Logics Tommaso Di Noia, Thomas Lukasiewicz, Gerardo I. Simari
2013	—	`conf`	Reasoning with Semantic-Enabled Qualitative Preferences. SUM Tommaso Di Noia, Thomas Lukasiewicz, Gerardo I. Simari
2013	—	`conf`	Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. URSW (LNCS Vol.) Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz
2013	—	`conf`	Semantic Web Search and Inductive Reasoning. URSW (LNCS Vol.) Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
2013	J	`jnl`	Top-k Query Answering in Datalog+/- Ontologies under Subjective Reports (Technical Report). CoRR Thomas Lukasiewicz, Maria Vanina Martinez, Cristian Molinaro, Livia Predoiu, Gerardo I. Simari
2013	—	`ch.`	Tractable Probabilistic Description Logic Programs. Advances in Probabilistic Databases for Uncertain Information Management Thomas Lukasiewicz, Gerardo I. Simari
2013	—	`ed.`	Uncertainty Reasoning for the Semantic Web II, International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at FLoC, Revised Selected Papers URSW (LNCS Vol.) Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool
2013	—	`conf`	Well-Founded Semantics for Extended Datalog and Ontological Reasoning. Description Logics André Hernich, Clemens Kupke, Thomas Lukasiewicz, Georg Gottlob
2013	A*	`conf`	Well-founded semantics for extended datalog and ontological reasoning. PODS André Hernich, Clemens Kupke, Thomas Lukasiewicz, Georg Gottlob
2013	A	`conf`	Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013. RecSys Marco de Gemmis, Tommaso Di Noia, Ora Lassila, Pasquale Lops, Thomas Lukasiewicz, Giovanni Semeraro
2012	J	`jnl`	A general Datalog-based framework for tractable query answering over ontologies. J. Web Semant. Andrea Calì, Georg Gottlob, Thomas Lukasiewicz
2012	—	`conf`	Consistent Answers in Probabilistic Datalog+/- Ontologies. RR Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari
2012	A*	`conf`	Equality-Friendly Well-Founded Semantics and Applications to Description Logics. AAAI Georg Gottlob, André Hernich, Clemens Kupke, Thomas Lukasiewicz
2012	—	`conf`	Equality-Friendly Well-Founded Semantics and Applications to Description Logics. Description Logics Georg Gottlob, André Hernich, Clemens Kupke, Thomas Lukasiewicz
2012	—	`ed.`	Foundations of Information and Knowledge Systems - 7th International Symposium, FoIKS 2012, Kiel, Germany, March 5-9, 2012. Proceedings FoIKS Thomas Lukasiewicz, Attila Sali
2012	J	`jnl`	Heuristic Ranking in Tightly Coupled Probabilistic Description Logics CoRR Thomas Lukasiewicz, Maria Vanina Martinez, Giorgio Orsi, Gerardo I. Simari
2012	A	`conf`	Heuristic Ranking in Tightly Coupled Probabilistic Description Logics. UAI Thomas Lukasiewicz, Maria Vanina Martinez, Giorgio Orsi, Gerardo I. Simari
2012	A	`conf`	Inconsistency Handling in Datalog+/- Ontologies. ECAI Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari
2012	—	`conf`	Inconsistency-Tolerant Query Rewriting for Linear Datalog+/-. Datalog Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari
2012	—	`conf`	Introducing Ontological CP-Nets. URSW Tommaso Di Noia, Thomas Lukasiewicz
2012	J	`jnl`	Ontology-based semantic search on the Web and its combination with the power of inductive reasoning. Ann. Math. Artif. Intell. Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
2012	J	`jnl`	Preface. Ann. Math. Artif. Intell. Sergio Greco, Thomas Lukasiewicz
2012	J	`jnl`	Probabilistic Reasoning about Actions in Nonmonotonic Causal Theories CoRR Thomas Eiter, Thomas Lukasiewicz
2012	—	`ed.`	Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web, Boston, USA, November 11, 2012 URSW Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool
2012	—	`ed.`	Proceedings of the International Workshop on Semantic Technologies meet Recommender Systems & Big Data, Boston, USA, November 11, 2012 SeRSy Marco de Gemmis, Tommaso Di Noia, Pasquale Lops, Thomas Lukasiewicz, Giovanni Semeraro
2012	J	`jnl`	Structure-Based Causes and Explanations in the Independent Choice Logic CoRR Alberto Finzi, Thomas Lukasiewicz
2011	J	`jnl`	A logical toolbox for ontological reasoning. SIGMOD Rec. Andrea Calì, Georg Gottlob, Thomas Lukasiewicz, Andreas Pieris
2011	—	`conf`	Answering Threshold Queries in Probabilistic Datalog+/- Ontologies. SUM Georg Gottlob, Thomas Lukasiewicz, Gerardo I. Simari
2011	—	`conf`	Conjunctive Query Answering in Probabilistic Datalog+/- Ontologies. RR Georg Gottlob, Thomas Lukasiewicz, Gerardo I. Simari
2011	J	`jnl`	Probabilistic Deduction with Conditional Constraints over Basic Events CoRR Thomas Lukasiewicz
2011	—	`ed.`	Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), Bonn, Germany, October 23, 2011 URSW Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles
2011	—	`ed.`	Proceedings of the second Workshop on Semantic Personalized Information Management: Retrieval and Recommendation 2011, Bonn, Germany, October 24, 2011 SPIM Marco de Gemmis, Ernesto William De Luca, Tommaso Di Noia, Aldo Gangemi, Michael Hausenblas, Pasquale Lops, Thomas Lukasiewicz, Till Plumbaum, Giovanni Semeraro
2011	J	`jnl`	Semantic Web search based on ontological conjunctive queries. J. Web Semant. Bettina Fazzinga, Giorgio Gianforme, Georg Gottlob, Thomas Lukasiewicz
2011	J	`jnl`	Tightly integrated probabilistic description logic programs for representing ontology mappings. Ann. Math. Artif. Intell. Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt
2011	J	`jnl`	Well-founded semantics for description logic programs in the semantic web. ACM Trans. Comput. Log. Thomas Eiter, Giovambattista Ianni, Thomas Lukasiewicz, Roman Schindlauer
2010	J	`jnl`	A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web. IEEE Trans. Knowl. Data Eng. Thomas Lukasiewicz
2010	—	`conf`	Combining Semantic Web Search with the Power of Inductive Reasoning. SUM Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
2010	—	`conf`	Datalog+/-: A Family of Languages for Ontology Querying. Datalog Andrea Calì, Georg Gottlob, Thomas Lukasiewicz, Andreas Pieris
2010	A*	`conf`	Datalog+/-: A Family of Logical Knowledge Representation and Query Languages for New Applications. LICS Andrea Calì, Georg Gottlob, Thomas Lukasiewicz, Bruno Marnette, Andreas Pieris
2010	Misc	`conf`	Inductive reasoning and semantic web search. SAC Claudia d'Amato, Floriana Esposito, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
2010	A*	`conf`	Ontological Reasoning with F-logic Lite and its Extensions. AAAI Andrea Calì, Georg Gottlob, Michael Kifer, Thomas Lukasiewicz, Andreas Pieris
2010	—	`ed.`	Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010), collocated with the 9th International Semantic Web Conference (ISWC-2010), Shanghai, China, November 7, 2010 URSW Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool
2010	—	`ed.`	Proceedings of the First International Workshop on Uncertainty in Description Logics, Edinburgh, UK, July 20, 2010 UniDL Thomas Lukasiewicz, Rafael Peñaloza, Anni-Yasmin Turhan
2010	—	`conf`	Semantic Web Search Based on Ontological Conjunctive Queries. FoIKS Bettina Fazzinga, Giorgio Gianforme, Georg Gottlob, Thomas Lukasiewicz
2010	J	`jnl`	Semantic search on the Web. Semantic Web Bettina Fazzinga, Thomas Lukasiewicz
2010	—	`ed.`	Web Reasoning and Rule Systems - Fourth International Conference, RR 2010, Bressanone/Brixen, Italy, September 22-24, 2010. Proceedings RR Pascal Hitzler, Thomas Lukasiewicz
2009	—	`conf`	A Combination of Boolean Games with Description Logics for Automated Multi-Attribute Negotiation. Description Logics Thomas Lukasiewicz, Azzurra Ragone
2009	—	`conf`	A General Datalog-Based Framework for Tractable Query Answering over Ontologies (extended abstract). SEBD Andrea Calì, Georg Gottlob, Thomas Lukasiewicz
2009	A*	`conf`	A general datalog-based framework for tractable query answering over ontologies. PODS Andrea Calì, Georg Gottlob, Thomas Lukasiewicz
2009	—	`conf`	Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models. Web Intelligence Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz
2009	—	`conf`	Combining Boolean Games with the Power of Ontologies for Automated Multi-attribute Negotiation in the Semantic Web. IAT Thomas Lukasiewicz, Azzurra Ragone
2009	—	`conf`	Combining Semantic Web Search with the Power of Inductive Reasoning. URSW Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
2009	A	`conf`	Datalog ICDT Andrea Calì, Georg Gottlob, Thomas Lukasiewicz
2009	—	`ch.`	Datalog Extensions for Tractable Query Answering over Ontologies. Semantic Web Information Management Andrea Calì, Georg Gottlob, Thomas Lukasiewicz
2009	J	`jnl`	Description logic programs under probabilistic uncertainty and fuzzy vagueness. Int. J. Approx. Reason. Thomas Lukasiewicz, Umberto Straccia
2009	—	`ch.`	Hybrid Reasoning with Rules and Ontologies. REWERSE Wlodzimierz Drabent, Thomas Eiter, Giovambattista Ianni, Thomas Krennwallner, Thomas Lukasiewicz, Jan Maluszynski
2009	C	`conf`	Inductive Query Answering and Concept Retrieval Exploiting Local Models. ISDA Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz
2009	—	`ed.`	Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009), Washington DC, USA, October 26, 2009 URSW Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool, Pavel Smrz
2009	J	`jnl`	Reasoning about actions with sensing under qualitative and probabilistic uncertainty. ACM Trans. Comput. Log. Luca Iocchi, Thomas Lukasiewicz, Daniele Nardi, Riccardo Rosati
2009	J	`jnl`	Tightly Coupled Probabilistic Description Logic Programs for the Semantic Web. J. Data Semant. Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt
2009	—	`conf`	Tractable Query Answering over Ontologies with Datalog+/-. Description Logics Andrea Calì, Georg Gottlob, Thomas Lukasiewicz
2009	—	`conf`	Uncertainty Reasoning for the Semantic Web. RR Thomas Lukasiewicz
2009	—	`conf`	Uncertainty in the Semantic Web. SUM Thomas Lukasiewicz
2008	—	`conf`	An Approach to Probabilistic Data Integration for the Semantic Web. URSW (LNCS Vol.) Andrea Calì, Thomas Lukasiewicz
2008	—	`conf`	Combining Boolean Games with the Power of Ontologies for Automated Multi-Attribute Negotiation in the Semantic Web. SMRR Thomas Lukasiewicz, Azzurra Ragone
2008	J	`jnl`	Combining answer set programming with description logics for the Semantic Web. Artif. Intell. Thomas Eiter, Giovambattista Ianni, Thomas Lukasiewicz, Roman Schindlauer, Hans Tompits
2008	J	`jnl`	Expressive probabilistic description logics. Artif. Intell. Thomas Lukasiewicz
2008	J	`jnl`	Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web. Fundam. Informaticae Thomas Lukasiewicz
2008	J	`jnl`	Logical approaches to imprecise probabilities. Int. J. Approx. Reason. Thomas Lukasiewicz
2008	J	`jnl`	Managing uncertainty and vagueness in description logics for the Semantic Web. J. Web Semant. Thomas Lukasiewicz, Umberto Straccia
2008	J	`jnl`	Probabilistic description logic programs under inheritance with overriding for the Semantic Web. Int. J. Approx. Reason. Thomas Lukasiewicz
2008	—	`ed.`	Proceedings of the Fourth International Workshop on Uncertainty Reasoning for the Semantic Web, Karlsruhe, Germany, October 26, 2008 URSW Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool, Pavel Smrz
2008	—	`ed.`	Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web Busan, Korea, November 12, 2007 URSW Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Francis Fung, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Yun Peng, Michael Pool, Pavel Smrz, Peter Vojtás
2008	—	`conf`	Representing Ontology Mappings with Probabilistic Description Logics Programs. SEBD Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt
2008	—	`conf`	Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. URSW Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, Thomas Lukasiewicz
2008	—	`conf`	Rule-Based Approaches for Representing Probabilistic Ontology Mappings. URSW (LNCS Vol.) Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt
2008	—	`ed.`	Scalable Uncertainty Management, Second International Conference, SUM 2008, Naples, Italy, October 1-3, 2008. Proceedings SUM Sergio Greco, Thomas Lukasiewicz
2008	J	`jnl`	Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web. Int. J. Semantic Web Inf. Syst. Thomas Lukasiewicz, Umberto Straccia
2008	—	`conf`	Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings. FoIKS Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt
2008	—	`conf`	Tractable Reasoning with Bayesian Description Logics. SUM Claudia d'Amato, Nicola Fanizzi, Thomas Lukasiewicz
2008	—	`ed.`	Uncertainty Reasoning for the Semantic Web I, ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers URSW (LNCS Vol.) Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool
2008	J	`jnl`	Using search strategies and a description logic paradigm with conditional preferences for literature search. Int. J. Metadata Semant. Ontologies Jörg Schellhase, Thomas Lukasiewicz
2007	—	`conf`	A Framework for Representing Ontology Mappings under Probabilities and Inconsistency. URSW Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt
2007	B	`conf`	A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web. ESWC Thomas Lukasiewicz
2007	C	`conf`	Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness. ECSQARU Thomas Lukasiewicz, Umberto Straccia
2007	J	`jnl`	Nonmonotonic probabilistic logics under variable-strength inheritance with overriding: Complexity, algorithms, and implementation. Int. J. Approx. Reason. Thomas Lukasiewicz
2007	J	`jnl`	Probabilistic description logic programs. Int. J. Approx. Reason. Thomas Lukasiewicz
2007	J	`jnl`	Reasoning with imprecise probabilities. Int. J. Approx. Reason. Andrés Cano, Fábio Gagliardi Cozman, Thomas Lukasiewicz
2007	A*	`conf`	Team Programming in Golog under Partial Observability. IJCAI Alessandro Farinelli, Alberto Finzi, Thomas Lukasiewicz
2007	—	`conf`	Tightly Integrated Fuzzy Description Logic Programs Under the Answer Set Semantics for the Semantic Web. RR Thomas Lukasiewicz, Umberto Straccia
2007	B	`conf`	Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web. ICLP Andrea Calì, Thomas Lukasiewicz
2007	—	`conf`	Top-k Retrieval in Description Logic Programs Under Vagueness for the Semantic Web. SUM Thomas Lukasiewicz, Umberto Straccia
2007	—	`conf`	Tractable Probabilistic Description Logic Programs. SUM Thomas Lukasiewicz
2007	J	`jnl`	Variable-strength conditional preferences for ranking objects in ontologies. J. Web Semant. Thomas Lukasiewicz, Jörg Schellhase
2006	A	`conf`	Adaptive Multi-Agent Programming in GTGolog. ECAI Alberto Finzi, Thomas Lukasiewicz
2006	Misc	`conf`	Adaptive Multi-agent Programming in GTGolog. KI Alberto Finzi, Thomas Lukasiewicz
2006	—	`conf`	An Approach to Probabilistic Data Integration for the Semantic Web. URSW Andrea Calì, Thomas Lukasiewicz
2006	J	`jnl`	Causes and explanations in the structural-model approach: Tractable cases. Artif. Intell. Thomas Eiter, Thomas Lukasiewicz
2006	—	`conf`	Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web. RuleML Thomas Lukasiewicz
2006	Misc	`conf`	Game-Theoretic Agent Programming in Golog Under Partial Observability. KI Alberto Finzi, Thomas Lukasiewicz
2006	—	`conf`	Preferences, Links, and Probabilities for Ranking Objects in Ontologies. URSW Thomas Lukasiewicz, Jörg Schellhase
2006	A*	`conf`	Variable-Strength Conditional Preferences for Matchmaking in Description Logics. KR Thomas Lukasiewicz, Jörg Schellhase
2006	B	`conf`	Variable-Strength Conditional Preferences for Ranking Objects in Ontologies. ESWC Thomas Lukasiewicz, Jörg Schellhase
2005	A	`conf`	Game theoretic Golog under partial observability. AAMAS Alberto Finzi, Thomas Lukasiewicz
2005	B	`conf`	Game-Theoretic Reasoning About Actions in Nonmonotonic Causal Theories. LPNMR Alberto Finzi, Thomas Lukasiewicz
2005	—	`conf`	Nonmonotonic Probabilistic Logics under Variable-Strength Inheritance with Overriding: Algorithms and Implementation in NMPROBLOG. ISIPTA Thomas Lukasiewicz
2005	J	`jnl`	Nonmonotonic probabilistic reasoning under variable-strength inheritance with overriding. Synth. Thomas Lukasiewicz
2005	C	`conf`	Probabilistic Description Logic Programs. ECSQARU Thomas Lukasiewicz
2005	J	`jnl`	Probabilistic logic under coherence: complexity and algorithms. Ann. Math. Artif. Intell. Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz, Giuseppe Sanfilippo
2005	—	`conf`	Stratified Probabilistic Description Logic Programs. ISWC-URSW Thomas Lukasiewicz
2005	J	`jnl`	Weak nonmonotonic probabilistic logics. Artif. Intell. Thomas Lukasiewicz
2004	A*	`conf`	Combining Answer Set Programming with Description Logics for the Semantic Web. KR Thomas Eiter, Thomas Lukasiewicz, Roman Schindlauer, Hans Tompits
2004	J	`jnl`	Combining probabilistic logic programming with the power of maximum entropy. Artif. Intell. Gabriele Kern-Isberner, Thomas Lukasiewicz
2004	J	`jnl`	Complexity results for explanations in the structural-model approach. Artif. Intell. Thomas Eiter, Thomas Lukasiewicz
2004	A	`conf`	Game-Theoretic Agent Programming in Golog. ECAI Alberto Finzi, Thomas Lukasiewicz
2004	—	`conf`	Qualitative and probabilistic uncertainty in reasoning about actions with sensing. NMR Luca Iocchi, Thomas Lukasiewicz, Daniele Nardi, Riccardo Rosati
2004	A	`conf`	Reasoning about Actions with Sensing under Qualitative and Probabilistic Uncertainty. ECAI Luca Iocchi, Thomas Lukasiewicz, Daniele Nardi, Riccardo Rosati
2004	B	`conf`	Relational Markov Games. JELIA Alberto Finzi, Thomas Lukasiewicz
2004	A*	`conf`	Weak Nonmonotonic Probabilistic Logics. KR Thomas Lukasiewicz
2004	—	`conf`	Well-Founded Semantics for Description Logic Programs in the Semantic Web. RuleML Thomas Eiter, Thomas Lukasiewicz, Roman Schindlauer, Hans Tompits
2003	C	`conf`	Probabilistic Lexicographic Entailment under Variable-Strength Inheritance with Overriding. ECSQARU Thomas Lukasiewicz
2003	A	`conf`	Probabilistic Reasoning about Actions in Nonmonotonic Causal Theories. UAI Thomas Eiter, Thomas Lukasiewicz
2003	A	`conf`	Structure-Based Causes and Explanations in the Independent Choice Logic. UAI Alberto Finzi, Thomas Lukasiewicz
2003	J	`jnl`	Temporal Probabilistic Object Bases. IEEE Trans. Knowl. Data Eng. Veronica Biazzo, Rosalba Giugno, Thomas Lukasiewicz, V. S. Subrahmanian
2002	A	`conf`	Causes and Explanations in the Structural-Model Approach : Tractable Cases. UAI Thomas Eiter, Thomas Lukasiewicz
2002	A*	`conf`	Complexity Results for Explanations in the Structural-Model Approach. KR Thomas Eiter, Thomas Lukasiewicz
2002	J	`jnl`	Complexity results for structure-based causality. Artif. Intell. Thomas Eiter, Thomas Lukasiewicz
2002	J	`jnl`	Nonmonotonic Probabilistic Logics between Model-Theoretic Probabilistic Logic and Probabilistic Logic under Coherence CoRR Thomas Lukasiewicz
2002	—	`conf`	Nonmonotonic probabilistic logics between model-theoretic probabilistic logic and probabilistic logic under coherence. NMR Thomas Lukasiewicz
2002	B	`conf`	P-SHOQ(D): A Probabilistic Extension of SHOQ(D) for Probabilistic Ontologies in the Semantic Web. JELIA Rosalba Giugno, Thomas Lukasiewicz
2002	J	`jnl`	Probabilistic Default Reasoning with Conditional Constraints. Ann. Math. Artif. Intell. Thomas Lukasiewicz
2002	J	`jnl`	Probabilistic logic under coherence, model-theoretic probabilistic logic, and default reasoning in System P. J. Appl. Non Class. Logics Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz, Giuseppe Sanfilippo
2001	J	`jnl`	A data model and algebra for probabilistic complex values. Ann. Math. Artif. Intell. Thomas Eiter, Thomas Lukasiewicz, Michael Walter
2001	A*	`conf`	Complexity Results for Structure-Based Causality. IJCAI Thomas Eiter, Thomas Lukasiewicz
2001	B	`conf`	Fixpoint Characterizations for Many-Valued Disjunctive Logic Programs with Probabilistic Semantics. LPNMR Thomas Lukasiewicz
2001	A	`conf`	Probabilistic Logic Programming under Inheritance with Overriding. UAI Thomas Lukasiewicz
2001	C	`conf`	Probabilistic Logic under Coherence, Model-Theoretic Probabilistic Logic, and Default Reasoning. ECSQARU Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz, Giuseppe Sanfilippo
2001	—	`conf`	Probabilistic Logic under Coherence: Complexity and Algorithms. ISIPTA Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz, Giuseppe Sanfilippo
2001	J	`jnl`	Probabilistic logic programming with conditional constraints. ACM Trans. Comput. Log. Thomas Lukasiewicz
2001	J	`jnl`	Probabilistic object bases. ACM Trans. Database Syst. Thomas Eiter, James J. Lu, Thomas Lukasiewicz, V. S. Subrahmanian
2000	A*	`conf`	Complexity Results for Default Reasoning from Conditional Knowledge Bases. KR Thomas Eiter, Thomas Lukasiewicz
2000	A	`conf`	Credal Networks under Maximum Entropy. UAI Thomas Lukasiewicz
2000	J	`jnl`	Default reasoning from conditional knowledge bases: Complexity and tractable cases. Artif. Intell. Thomas Eiter, Thomas Lukasiewicz
2000	—	`conf`	Extension of the Relational Algebra to Probabilistic Complex Values. FoIKS Thomas Eiter, Thomas Lukasiewicz, Michael Walter
2000	B	`conf`	New Tractable Cases in Default Reasoning from Conditional Knowledge Bases. JELIA Thomas Eiter, Thomas Lukasiewicz
2000	J	`jnl`	Probabilistic Default Reasoning with Conditional Constraints CoRR Thomas Lukasiewicz
1999	J	`jnl`	Local probabilistic deduction from taxonomic and probabilistic knowledge-bases over conjunctive events. Int. J. Approx. Reason. Thomas Lukasiewicz
1999	B	`conf`	Many-Valued Disjunctive Logic Programs with Probabilistic Semantics. LPNMR Thomas Lukasiewicz
1999	J	`jnl`	Probabilistic Deduction with Conditional Constraints over Basic Events. J. Artif. Intell. Res. Thomas Lukasiewicz
1999	—	`conf`	Probabilistic and Truth-Functional Many-Valued Logic Programming. ISMVL Thomas Lukasiewicz
1999	—	`conf`	Probalilistic Logic Programming under Maximum Entropy. ESCQARU Thomas Lukasiewicz, Gabriele Kern-Isberner
1998	A	`conf`	Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge. UAI Thomas Lukasiewicz
1998	B	`conf`	Many-Valued First-Order Logics with Probabilistic Semantics. CSL Thomas Lukasiewicz
1998	A*	`conf`	Probabilistic Deduction with Conditional Constraints over Basic Events. KR Thomas Lukasiewicz
1998	A	`conf`	Probabilistic Logic Programming. ECAI Thomas Lukasiewicz
1997	A	`conf`	Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge-Bases over Conjunctive Events. CIKM Thomas Lukasiewicz
1996	—	`—`	Precision of probabilistic deduction under taxonomic knowledge. Thomas Lukasiewicz
1995	A	`conf`	Taxonomic and Uncertain Integrity Constraints in Object-Oriented Databases - the TOP Approach. CIKM Thomas Lukasiewicz, Werner Kießling, Gerhard Köstler, Ulrich Güntzer
1995	C	`conf`	Uncertain Reasoning in Concept Lattices. ECSQARU Thomas Lukasiewicz