| 2026 | ACL | GraphSynth: Resolving the Diversity-Reliability Trade-off with Probabilistic Factor Graphs. | Zehua Cheng, Wei Dai, Jiahao Sun, Thomas Lukasiewicz |
| 2026 | ACL | CircuitSynth: Reliable Synthetic Data Generation. | Zehua Cheng, Wei Dai, Jiahao Sun, Thomas Lukasiewicz |
| 2025 | EMNLP | Investigating Multi-layer Representations for Dense Passage Retrieval. | Zhongbin Xie, Thomas Lukasiewicz |
| 2025 | ICLR | Shh, don't say that! Domain Certification in LLMs. | Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Guillaume Kayser, Tom Rainforth, Thomas Lukasiewicz, Philip Torr, Adel Bibi |
| 2025 | ICLR | Towards Certification of Uncertainty Calibration under Adversarial Attacks. | Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi |
| 2025 | ICLR | Benchmarking Predictive Coding Networks - Made Simple. | 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 | WACV | Effective and Efficient Medical Image Segmentation with Hierarchical Context Interaction. | Zehua Cheng, Di Yuan, Wenhu Zhang, Thomas Lukasiewicz |
| 2024 | AAAI | The Defeat of the Winograd Schema Challenge (Abstract Reprint). | Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern |
| 2024 | AAAI | Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation. | Louis Mahon, Thomas Lukasiewicz |
| 2024 | EMNLP | Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting. | Maxime Kayser, Bayar Menzat, Cornelius Emde, Bogdan Bercean, Alex Novak, Abdal Morgado, Bartlomiej W. Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu |
| 2024 | ICLR | The IMO Small Challenge: Not-Too-Hard Olympiad Math Datasets for LLMs. | Simon Frieder, Mirek Olsk, Julius Berner, Thomas Lukasiewicz |
| 2024 | ICLR | Bad Predictive Coding Activation Functions. | Simon Frieder, Luca Pinchetti, Thomas Lukasiewicz |
| 2024 | ICLR | A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. | Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz |
| 2024 | ICLR | How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data. | Mihaela C. Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia |
| 2024 | ICML | Predictive Coding beyond Correlations. | Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak, Beren Millidge, Thomas Lukasiewicz |
| 2024 | IJCAI | PiShield: A PyTorch Package for Learning with Requirements. | Mihaela C. Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia |
| 2023 | ACL | Faithfulness Tests for Natural Language Explanations. | Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein |
| 2023 | ACL | KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. | Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu |
| 2023 | ACL | An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models. | Zhongbin Xie, Thomas Lukasiewicz |
| 2023 | EACL | Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. | Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu |
| 2023 | ECAI | Associative Memories in the Feature Space. | Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz |
| 2023 | EMNLP | Improving Language Models' Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary. | Myeongjun Jang, Thomas Lukasiewicz |
| 2023 | EMNLP | Consistency Analysis of ChatGPT. | Myeongjun Jang, Thomas Lukasiewicz |
| 2023 | ICASSP | MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. | Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu |
| 2023 | ICASSP | MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. | Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz |
| 2023 | ICASSP | Multi-Head Feature Pyramid Networks for Breast Mass Detection. | Hexiang Zhang, Zhenghua Xu, Dan Yao, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz |
| 2023 | ICLR | Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. | Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz |
| 2023 | ICLR | A Theoretical Framework for Inference and Learning in Predictive Coding Networks. | Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz |
| 2023 | ICML | NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. | Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz |
| 2023 | KR | Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Preferred Repairs. | Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro |
| 2023 | NeSy | Exploiting T-norms for Deep Learning in Autonomous Driving. | Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz |
| 2022 | AAAI | Reverse Differentiation via Predictive Coding. | Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz |
| 2022 | ACML | Efficient Deep Clustering of Human Activities and How to Improve Evaluation. | Louis Mahon, Thomas Lukasiewicz |
| 2022 | BMVC | Image-to-Image Translation with Text Guidance. | Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz |
| 2022 | BMVC | Memory-Driven Text-to-Image Generation. | Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz |
| 2022 | COLING | BECEL: Benchmark for Consistency Evaluation of Language Models. | Myeongjun Jang, Deuk Sin Kwon, Thomas Lukasiewicz |
| 2022 | CVPR | Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation. | Jianfeng Wang, Thomas Lukasiewicz |
| 2022 | EDBT | Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports. | Zehua Cheng, Lianlong Wu, Thomas Lukasiewicz, Emanuel Sallinger, Georg Gottlob |
| 2022 | EMNLP | Learning to Model Multimodal Semantic Alignment for Story Visualization. | Bowen Li, Thomas Lukasiewicz |
| 2022 | EMNLP | Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction. | Frank Mtumbuka, Thomas Lukasiewicz |
| 2022 | EMNLP | Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup. | Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu |
| 2022 | ICML | (Non-)Convergence Results for Predictive Coding Networks. | Simon Frieder, Thomas Lukasiewicz |
| 2022 | ICML | Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations. | Bodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian J. McAuley |
| 2022 | ICML | Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. | Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz |
| 2022 | ICML | NP-Match: When Neural Processes meet Semi-Supervised Learning. | Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou |
| 2022 | IJCAI | Deep Learning with Logical Constraints. | Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz |
| 2022 | IJCAI | Explanations for Negative Query Answers under Inconsistency-Tolerant Semantics. | Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro |
| 2022 | IJCAI | Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? | Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz |
| 2022 | MICCAI | Explaining Chest X-Ray Pathologies in Natural Language. | Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz |
| 2022 | NAACL | Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence. | Myeongjun Jang, Frank Mtumbuka, Thomas Lukasiewicz |
| 2021 | AAAI | Preferred Explanations for Ontology-Mediated Queries under Existential Rules. | Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius |
| 2021 | AAAI | The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. | Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz |
| 2021 | AAAI | Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration. | Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz |
| 2021 | AAAI | Multi-type Disentanglement without Adversarial Training. | Lei Sha, Thomas Lukasiewicz |
| 2021 | ACL | Controlling Text Edition by Changing Answers of Specific Questions. | Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz |
| 2021 | CIKM | Lightweight Visual Question Answering using Scene Graphs. | Sai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang |
| 2021 | CVPR | RSG: A Simple but Effective Module for Learning Imbalanced Datasets. | Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu |
| 2021 | EMNLP | Knowledge Base Completion Meets Transfer Learning. | Vid Kocijan, Thomas Lukasiewicz |
| 2021 | ICCV | e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. | Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz |
| 2021 | IJCAI | The Surprising Power of Graph Neural Networks with Random Node Initialization. | Ralph Abboud, Ismail Ilkan Ceylan, Martin Grohe, Thomas Lukasiewicz |
| 2021 | KI | Selective Pseudo-Label Clustering. | Louis Mahon, Thomas Lukasiewicz |
| 2020 | AAAI | Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. | Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu |
| 2020 | AAAI | Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. | Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu |
| 2020 | AAAI | Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting. | Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz |
| 2020 | AAAI | Explanations for Inconsistency-Tolerant Query Answering under Existential Rules. | Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro |
| 2020 | ACL | Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. | Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom |
| 2020 | CVPR | ManiGAN: Text-Guided Image Manipulation. | Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr |
| 2020 | ECAI | Explanations for Ontology-Mediated Query Answering in Description Logics. | Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius |
| 2020 | EMNLP | Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction. | Patrick Hohenecker, Frank Mtumbuka, Vid Kocijan, Thomas Lukasiewicz |
| 2020 | EMNLP | Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution. | Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz |
| 2020 | ICASSP | Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. | Zhenghua Xu, Di Yuan, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Guizhi Xu |
| 2020 | ICMLA | Knowledge Graph Extraction from Videos. | Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz |
| 2020 | IJCAI | Ontology Reasoning with Deep Neural Networks (Extended Abstract). | Patrick Hohenecker, Thomas Lukasiewicz |
| 2020 | JURIX | Extracting Outcomes from Appellate Decisions in US State Courts. | Alina Petrova, John Armour, Thomas Lukasiewicz |
| 2020 | KR | Explanations for Negative Query Answers under Existential Rules. | Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius |
| 2019 | AAAI | Ontology-Mediated Query Answering over Log-Linear Probabilistic Data. | Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz |
| 2019 | AAAI | Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs. | Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius |
| 2019 | AAAI | Diversity-Driven Extensible Hierarchical Reinforcement Learning. | Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu |
| 2019 | ACL | A Surprisingly Robust Trick for the Winograd Schema Challenge. | Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz |
| 2019 | DCAI | An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities. | Elvira Amador-Domnguez, Patrick Hohenecker, Thomas Lukasiewicz, Daniel Manrique, Emilio Serrano |
| 2019 | EMNLP | WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. | Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz |
| 2019 | ICASSP | Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment. | Bo Li, Zehua Cheng, Zhenghua Xu, Wei Ye, Thomas Lukasiewicz, Shikun Zhang |
| 2019 | IJCAI | Explanations for Query Answers under Existential Rules. | Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius |
| 2018 | IJCAI | Recent Advances in Querying Probabilistic Knowledge Bases. | Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz |
| 2018 | IJCAI | Complexity of Approximate Query Answering under Inconsistency in Datalog+/-. | Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro |
| 2017 | AAAI | Ontology-Mediated Queries for Probabilistic Databases. | Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz |
| 2017 | DASFAA | Location-Aware News Recommendation Using Deep Localized Semantic Analysis. | Cheng Chen, Thomas Lukasiewicz, Xiangwu Meng, Zhenghua Xu |
| 2017 | IJCAI | Most Probable Explanations for Probabilistic Database Queries. | Ismail Ilkan Ceylan, Stefan Borgwardt, Thomas Lukasiewicz |
| 2017 | IJCAI | Query Answering in Ontologies under Preference Rankings. | Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Pealoza, Oana Tifrea-Marciuska |
| 2017 | IJCAI | Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. | Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng |
| 2016 | AAAI | On the Complexity of mCP-nets. | Thomas Lukasiewicz, Enrico Malizia |
| 2016 | AAAI | Basic Probabilistic Ontological Data Exchange with Existential Rules. | Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari |
| 2016 | CIKM | Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. | Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao, Xiangwu Meng |
| 2016 | ECAI | Complexity Results for Probabilistic Datalog | Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Pealoza |
| 2016 | ECAI | Complexity of Threshold Query Answering in Probabilistic Ontological Data Exchange. | Thomas Lukasiewicz, Livia Predoiu |
| 2016 | IJCAI | Preferential Query Answering over the Semantic Web with Possibilistic Networks. | Stefan Borgwardt, Bettina Fazzinga, Thomas Lukasiewicz, Akanksha Shrivastava, Oana Tifrea-Marciuska |
| 2016 | KR | Generalized Consistent Query Answering under Existential Rules. | Thomas Eiter, Thomas Lukasiewicz, Livia Predoiu |
| 2016 | KR | Probabilistic Models over Weighted Orderings: Fixed-Parameter Tractable Variable Elimination. | Thomas Lukasiewicz, Maria Vanina Martinez, David Poole, Gerardo Ignacio Simari |
| 2015 | AAAI | From Classical to Consistent Query Answering under Existential Rules. | Thomas Lukasiewicz, Maria Vanina Martinez, Andreas Pieris, Gerardo I. Simari |
| 2015 | IJCAI | Combining Existential Rules with the Power of CP-Theories. | Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martnez, Gerardo I. Simari, Oana Tifrea-Marciuska |
| 2014 | CADE | Answering Ontological Ranking Queries Based on Subjective Reports. | Thomas Lukasiewicz, Maria Vanina Martinez, Cristian Molinaro, Livia Predoiu, Gerardo I. Simari |
| 2014 | CADE | Computing k-Rank Answers with Ontological CP-Nets. | Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska |
| 2014 | ECAI | Probabilistic Preference Logic Networks. | Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari |
| 2014 | KR | Stable Model Semantics for Guarded Existential Rules and Description Logics. | Georg Gottlob, Andr Hernich, Clemens Kupke, Thomas Lukasiewicz |
| 2014 | KR | Datalog+/-: Questions and Answers. | Georg Gottlob, Thomas Lukasiewicz, Andreas Pieris |
| 2013 | AAAI | Combining CP-Nets with the Power of Ontologies. | Tommaso Di Noia, Thomas Lukasiewicz |
| 2013 | IJCAI | Preference-Based Query Answering in Datalog+/- Ontologies. | Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo Ignacio Simari |
| 2013 | ICWE | Query Answering in Datalog+/- Ontologies under Group Preferences and Probabilistic Uncertainty. | Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska |
| 2013 | PODS | Well-founded semantics for extended datalog and ontological reasoning. | Andr Hernich, Clemens Kupke, Thomas Lukasiewicz, Georg Gottlob |
| 2013 | RecSys | Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013. | Marco de Gemmis, Tommaso Di Noia, Ora Lassila, Pasquale Lops, Thomas Lukasiewicz, Giovanni Semeraro |
| 2012 | AAAI | Equality-Friendly Well-Founded Semantics and Applications to Description Logics. | Georg Gottlob, Andr Hernich, Clemens Kupke, Thomas Lukasiewicz |
| 2012 | ECAI | Inconsistency Handling in Datalog+/- Ontologies. | Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari |
| 2012 | UAI | Heuristic Ranking in Tightly Coupled Probabilistic Description Logics. | Thomas Lukasiewicz, Maria Vanina Martinez, Giorgio Orsi, Gerardo I. Simari |
| 2010 | AAAI | Ontological Reasoning with F-logic Lite and its Extensions. | Andrea Cal, Georg Gottlob, Michael Kifer, Thomas Lukasiewicz, Andreas Pieris |
| 2010 | LICS | Datalog+/-: A Family of Logical Knowledge Representation and Query Languages for New Applications. | Andrea Cal, Georg Gottlob, Thomas Lukasiewicz, Bruno Marnette, Andreas Pieris |
| 2010 | SAC | Inductive reasoning and semantic web search. | Claudia d'Amato, Floriana Esposito, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz |
| 2009 | ICDT | Datalog | Andrea Cal, Georg Gottlob, Thomas Lukasiewicz |
| 2009 | ISDA | Inductive Query Answering and Concept Retrieval Exploiting Local Models. | Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz |
| 2009 | PODS | A general datalog-based framework for tractable query answering over ontologies. | Andrea Cal, Georg Gottlob, Thomas Lukasiewicz |
| 2007 | ECSQARU | Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness. | Thomas Lukasiewicz, Umberto Straccia |
| 2007 | ICLP | Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web. | Andrea Cal, Thomas Lukasiewicz |
| 2007 | IJCAI | Team Programming in Golog under Partial Observability. | Alessandro Farinelli, Alberto Finzi, Thomas Lukasiewicz |
| 2006 | ECAI | Adaptive Multi-Agent Programming in GTGolog. | Alberto Finzi, Thomas Lukasiewicz |
| 2006 | KI | Game-Theoretic Agent Programming in Golog Under Partial Observability. | Alberto Finzi, Thomas Lukasiewicz |
| 2006 | KI | Adaptive Multi-agent Programming in GTGolog. | Alberto Finzi, Thomas Lukasiewicz |
| 2006 | KR | Variable-Strength Conditional Preferences for Matchmaking in Description Logics. | Thomas Lukasiewicz, Jrg Schellhase |
| 2005 | ECSQARU | Probabilistic Description Logic Programs. | Thomas Lukasiewicz |
| 2005 | LPNMR | Game-Theoretic Reasoning About Actions in Nonmonotonic Causal Theories. | Alberto Finzi, Thomas Lukasiewicz |
| 2004 | ECAI | Game-Theoretic Agent Programming in Golog. | Alberto Finzi, Thomas Lukasiewicz |
| 2004 | ECAI | Reasoning about Actions with Sensing under Qualitative and Probabilistic Uncertainty. | Luca Iocchi, Thomas Lukasiewicz, Daniele Nardi, Riccardo Rosati |
| 2004 | JELIA | Relational Markov Games. | Alberto Finzi, Thomas Lukasiewicz |
| 2004 | KR | Combining Answer Set Programming with Description Logics for the Semantic Web. | Thomas Eiter, Thomas Lukasiewicz, Roman Schindlauer, Hans Tompits |
| 2004 | KR | Weak Nonmonotonic Probabilistic Logics. | Thomas Lukasiewicz |
| 2003 | ECSQARU | Probabilistic Lexicographic Entailment under Variable-Strength Inheritance with Overriding. | Thomas Lukasiewicz |
| 2003 | UAI | Probabilistic Reasoning about Actions in Nonmonotonic Causal Theories. | Thomas Eiter, Thomas Lukasiewicz |
| 2003 | UAI | Structure-Based Causes and Explanations in the Independent Choice Logic. | Alberto Finzi, Thomas Lukasiewicz |
| 2002 | JELIA | P-SHOQ(D): A Probabilistic Extension of SHOQ(D) for Probabilistic Ontologies in the Semantic Web. | Rosalba Giugno, Thomas Lukasiewicz |
| 2002 | KR | Complexity Results for Explanations in the Structural-Model Approach. | Thomas Eiter, Thomas Lukasiewicz |
| 2002 | UAI | Causes and Explanations in the Structural-Model Approach : Tractable Cases. | Thomas Eiter, Thomas Lukasiewicz |
| 2001 | ECSQARU | Probabilistic Logic under Coherence, Model-Theoretic Probabilistic Logic, and Default Reasoning. | Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz, Giuseppe Sanfilippo |
| 2001 | IJCAI | Complexity Results for Structure-Based Causality. | Thomas Eiter, Thomas Lukasiewicz |
| 2001 | LPNMR | Fixpoint Characterizations for Many-Valued Disjunctive Logic Programs with Probabilistic Semantics. | Thomas Lukasiewicz |
| 2001 | UAI | Probabilistic Logic Programming under Inheritance with Overriding. | Thomas Lukasiewicz |
| 2000 | JELIA | New Tractable Cases in Default Reasoning from Conditional Knowledge Bases. | Thomas Eiter, Thomas Lukasiewicz |
| 2000 | KR | Complexity Results for Default Reasoning from Conditional Knowledge Bases. | Thomas Eiter, Thomas Lukasiewicz |
| 2000 | UAI | Credal Networks under Maximum Entropy. | Thomas Lukasiewicz |
| 1999 | ECSQARU | Probalilistic Logic Programming under Maximum Entropy. | Thomas Lukasiewicz, Gabriele Kern-Isberner |
| 1999 | LPNMR | Many-Valued Disjunctive Logic Programs with Probabilistic Semantics. | Thomas Lukasiewicz |
| 1998 | CSL | Many-Valued First-Order Logics with Probabilistic Semantics. | Thomas Lukasiewicz |
| 1998 | ECAI | Probabilistic Logic Programming. | Thomas Lukasiewicz |
| 1998 | KR | Probabilistic Deduction with Conditional Constraints over Basic Events. | Thomas Lukasiewicz |
| 1998 | UAI | Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge. | Thomas Lukasiewicz |
| 1997 | CIKM | Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge-Bases over Conjunctive Events. | Thomas Lukasiewicz |
| 1995 | CIKM | Taxonomic and Uncertain Integrity Constraints in Object-Oriented Databases - the TOP Approach. | Thomas Lukasiewicz, Werner Kieling, Gerhard Kstler, Ulrich Gntzer |
| 1995 | ECSQARU | Uncertain Reasoning in Concept Lattices. | Thomas Lukasiewicz |