Lukasiewicz, Thomas

83 publications

TMLR 2026 A Survey on Deep Learning Approaches for Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, Diversity, and Beyond Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz

ICLR 2025 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

WACV 2025 Effective and Efficient Medical Image Segmentation with Hierarchical Context Interaction Zehua Cheng, Di Yuan, Wenhu Zhang, Thomas Lukasiewicz

ICLR 2025 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

ICLRW 2025 Shh, Don't Say That! Domain Certification in LLMs Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Kayser, Tom Rainforth, Thomas Lukasiewicz, Bernard Ghanem, Philip Torr, Adel Bibi

ICLR 2025 Towards Certification of Uncertainty Calibration Under Adversarial Attacks Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi

ICLRW 2025 Training Deep Predictive Coding Networks Chang Qi, Thomas Lukasiewicz, Tommaso Salvatori

ICLR 2024 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

TMLR 2024 Correcting Flaws in Common Disentanglement Metrics Louis Mahon, Lei Sha, Thomas Lukasiewicz

AAAI 2024 Hard Regularization to Prevent Deep Online Clustering Collapse Without Data Augmentation Louis Mahon, Thomas Lukasiewicz

ICLR 2024 How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data Mihaela C Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia

IJCAI 2024 PiShield: A PyTorch Package for Learning with Requirements Mihaela C. Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia

ICML 2024 Predictive Coding Beyond Correlations Tommaso Salvatori, Luca Pinchetti, Amine M’Charrak, Beren Millidge, Thomas Lukasiewicz

NeurIPSW 2024 Shh, Don't Say That! Domain Certification in LLMs Cornelius Emde, Preetham Arvind, Alasdair Paren, Maxime Kayser, Tom Rainforth, Thomas Lukasiewicz, Philip Torr, Adel Bibi

AAAI 2024 The Defeat of the Winograd Schema Challenge (Abstract Reprint) Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern

ICLR 2023 A Theoretical Framework for Inference and Learning in Predictive Coding Networks Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz

ICLR 2023 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

ICMLW 2023 Certified Calibration: Bounding Worst-Case Calibration Under Adversarial Attacks Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi

NeurIPS 2023 Mathematical Capabilities of ChatGPT Simon Frieder, Luca Pinchetti, Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Petersen, Julius Berner

ICML 2023 NP-SemiSeg: When Neural Processes Meet Semi-Supervised Semantic Segmentation Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz

MLJ 2023 ROAD-R: The Autonomous Driving Dataset with Logical Requirements Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz

ICML 2022 (Non-)Convergence Results for Predictive Coding Networks Simon Frieder, Thomas Lukasiewicz

IJCAI 2022 Deep Learning with Logical Constraints Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz

ACML 2022 Efficient Deep Clustering of Human Activities and How to Improve Evaluation Louis Mahon, Thomas Lukasiewicz

IJCAI 2022 Explanations for Negative Query Answers Under Inconsistency-Tolerant Semantics Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro

ICML 2022 Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations Bodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian Mcauley

NeurIPS 2022 Learning on Arbitrary Graph Topologies via Predictive Coding Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz

ICML 2022 NP-Match: When Neural Processes Meet Semi-Supervised Learning Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou

NeurIPS 2022 Predictive Coding Beyond Gaussian Distributions Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz

IJCAI 2022 Predictive Coding: Towards a Future of Deep Learning Beyond Backpropagation? Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz

CVPR 2022 Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation Jianfeng Wang, Thomas Lukasiewicz

AAAI 2022 Reverse Differentiation via Predictive Coding Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz

ICML 2022 Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz

NeurIPS 2021 Associative Memories via Predictive Coding Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz

ICCV 2021 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

NeurIPSW 2021 Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu

AAAI 2021 Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz

JAIR 2021 Multi-Label Classification Neural Networks with Hard Logical Constraints Eleonora Giunchiglia, Thomas Lukasiewicz

AAAI 2021 Multi-Type Disentanglement Without Adversarial Training Lei Sha, Thomas Lukasiewicz

AAAI 2021 Preferred Explanations for Ontology-Mediated Queries Under Existential Rules Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius

CVPR 2021 RSG: A Simple but Effective Module for Learning Imbalanced Datasets Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu

AAAI 2021 The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz

IJCAI 2021 The Surprising Power of Graph Neural Networks with Random Node Initialization Ralph Abboud, Ismail Ilkan Ceylan, Martin Grohe, Thomas Lukasiewicz

AAAI 2020 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

NeurIPS 2020 BoxE: A Box Embedding Model for Knowledge Base Completion Ralph Abboud, Ismail Ceylan, Thomas Lukasiewicz, Tommaso Salvatori

NeurIPS 2020 Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks Yuhang Song, Thomas Lukasiewicz, Zhenghua Xu, Rafal Bogacz

NeurIPS 2020 Coherent Hierarchical Multi-Label Classification Networks Eleonora Giunchiglia, Thomas Lukasiewicz

AAAI 2020 Explanations for Inconsistency-Tolerant Query Answering Under Existential Rules Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro

AAAI 2020 Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz

NeurIPS 2020 Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation Bowen Li, Xiaojuan Qi, Philip Torr, Thomas Lukasiewicz

AAAI 2020 Mega-Reward: Achieving Human-Level Play Without Extrinsic Rewards Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu

JAIR 2020 Ontology Reasoning with Deep Neural Networks Patrick Hohenecker, Thomas Lukasiewicz

IJCAI 2020 Ontology Reasoning with Deep Neural Networks (Extended Abstract) Patrick Hohenecker, Thomas Lukasiewicz

AAAI 2019 Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- Under Cardinality-Based Repairs Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius

NeurIPS 2019 Controllable Text-to-Image Generation Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip Torr

AAAI 2019 Diversity-Driven Extensible Hierarchical Reinforcement Learning Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu

IJCAI 2019 Explanations for Query Answers Under Existential Rules Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius

AAAI 2019 Ontology-Mediated Query Answering over Log-Linear Probabilistic Data Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz

IJCAI 2018 Complexity of Approximate Query Answering Under Inconsistency in Datalog+/- Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro

NeurIPS 2018 E-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom

IJCAI 2018 Recent Advances in Querying Probabilistic Knowledge Bases Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz

IJCAI 2017 Most Probable Explanations for Probabilistic Database Queries Ismail Ilkan Ceylan, Stefan Borgwardt, Thomas Lukasiewicz

AAAI 2017 Ontology-Mediated Queries for Probabilistic Databases Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz

IJCAI 2017 Query Answering in Ontologies Under Preference Rankings Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Peñaloza, Oana Tifrea-Marciuska

IJCAI 2017 Tag-Aware Personalized Recommendation Using a Hybrid Deep Model Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng

AAAI 2016 Basic Probabilistic Ontological Data Exchange with Existential Rules Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari

AAAI 2016 On the Complexity of mCP-Nets Thomas Lukasiewicz, Enrico Malizia

IJCAI 2016 Preferential Query Answering over the Semantic Web with Possibilistic Networks Stefan Borgwardt, Bettina Fazzinga, Thomas Lukasiewicz, Akanksha Shrivastava, Oana Tifrea-Marciuska

IJCAI 2015 Combining Existential Rules with the Power of CP-Theories Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martínez, Gerardo I. Simari, Oana Tifrea-Marciuska

AAAI 2015 From Classical to Consistent Query Answering Under Existential Rules Thomas Lukasiewicz, Maria Vanina Martinez, Andreas Pieris, Gerardo I. Simari

IJCAI 2013 Preference-Based Query Answering in Datalog+/- Ontologies Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo Ignacio Simari

AAAI 2012 Equality-Friendly Well-Founded Semantics and Applications to Description Logics Georg Gottlob, André Hernich, Clemens Kupke, Thomas Lukasiewicz

UAI 2012 Heuristic Ranking in Tightly Coupled Probabilistic Description Logics Thomas Lukasiewicz, Maria Vanina Martinez, Giorgio Orsi, Gerardo I. Simari

AAAI 2010 Ontological Reasoning with F-Logic Lite and Its Extensions Andrea Calì, Georg Gottlob, Michael Kifer, Thomas Lukasiewicz, Andreas Pieris

IJCAI 2007 Team Programming in Golog Under Partial Observability Alessandro Farinelli, Alberto Finzi, Thomas Lukasiewicz

UAI 2003 Probabilistic Reasoning About Actions in Nonmonotonic Causal Theories Thomas Eiter, Thomas Lukasiewicz

UAI 2003 Structure-Based Causes and Explanations in the Independent Choice Logic Alberto Finzi, Thomas Lukasiewicz

UAI 2002 Causes and Explanations in the Structural-Model Approach : Tractable Cases Thomas Eiter, Thomas Lukasiewicz

IJCAI 2001 Complexity Results for Structure-Based Causality Thomas Eiter, Thomas Lukasiewicz

UAI 2001 Probabilistic Logic Programming Under Inheritance with Overriding Thomas Lukasiewicz

UAI 2000 Credal Networks Under Maximum Entropy Thomas Lukasiewicz

JAIR 1999 Probabilistic Deduction with Conditional Constraints over Basic Events Thomas Lukasiewicz

UAI 1998 Magic Inference Rules for Probabilistic Deduction Under Taxonomic Knowledge Thomas Lukasiewicz