Thomas Lukasiewicz

GraphSynth: Resolving the Diversity-Reliability Trade-off with Probabilistic Factor Graphs ACL 2026 Benchmarking Predictive Coding Networks -- Made Simple ICLR 2025 Effective and Efficient Medical Image Segmentation with Hierarchical Context Interaction WACV 2025 Investigating Multi-layer Representations for Dense Passage Retrieval EMNLP 2025 Shh, don't say that! Domain Certification in LLMs ICLR 2025 Towards Certification of Uncertainty Calibration under Adversarial Attacks ICLR 2025 A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks ICLR 2024 Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting EMNLP 2024 Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation AAAI 2024 How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data ICLR 2024 PiShield: A PyTorch Package for Learning with Requirements IJCAI 2024 Predictive Coding beyond Correlations ICML 2024 The Defeat of the Winograd Schema Challenge (Abstract Reprint) AAAI 2024 An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models ACL 2023 A Theoretical Framework for Inference and Learning in Predictive Coding Networks ICLR 2023 Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning ICLR 2023 Consistency Analysis of ChatGPT EMNLP 2023 Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns EACL 2023 Faithfulness Tests for Natural Language Explanations ACL 2023 Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary EMNLP 2023 KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations ACL 2023 Mathematical Capabilities of ChatGPT NeurIPS 2023 NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation ICML 2023 BECEL: Benchmark for Consistency Evaluation of Language Models COLING 2022 Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence NAACL 2022 Deep Learning with Logical Constraints IJCAI 2022 Efficient Deep Clustering of Human Activities and How to Improve Evaluation ACML 2022 Explanations for Negative Query Answers under Inconsistency-Tolerant Semantics IJCAI 2022 Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup EMNLP 2022 Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations ICML 2022 Learning on Arbitrary Graph Topologies via Predictive Coding NeurIPS 2022 Learning to Model Multimodal Semantic Alignment for Story Visualization EMNLP 2022 (Non-)Convergence Results for Predictive Coding Networks ICML 2022 NP-Match: When Neural Processes meet Semi-Supervised Learning ICML 2022 Predictive Coding beyond Gaussian Distributions NeurIPS 2022 Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI 2022 Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation CVPR 2022 Reverse Differentiation via Predictive Coding AAAI 2022 Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction EMNLP 2022 Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models ICML 2022 Associative Memories via Predictive Coding NeurIPS 2021 Controlling Text Edition by Changing Answers of Specific Questions ACL 2021 E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks ICCV 2021 Knowledge Base Completion Meets Transfer Learning EMNLP 2021 Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration AAAI 2021 Multi-type Disentanglement without Adversarial Training AAAI 2021 Preferred Explanations for Ontology-Mediated Queries under Existential Rules AAAI 2021 RSG: A Simple but Effective Module for Learning Imbalanced Datasets CVPR 2021 The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets AAAI 2021 The Surprising Power of Graph Neural Networks with Random Node Initialization IJCAI 2021 Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence AAAI 2020 BoxE: A Box Embedding Model for Knowledge Base Completion NeurIPS 2020 Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks NeurIPS 2020 Coherent Hierarchical Multi-Label Classification Networks NeurIPS 2020 Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution EMNLP 2020 Explanations for Inconsistency-Tolerant Query Answering under Existential Rules AAAI 2020 Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting AAAI 2020 Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation NeurIPS 2020 Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations ACL 2020 ManiGAN: Text-Guided Image Manipulation CVPR 2020 Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards AAAI 2020 Ontology Reasoning with Deep Neural Networks (Extended Abstract) IJCAI 2020 Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction EMNLP 2020 A Surprisingly Robust Trick for the Winograd Schema Challenge ACL 2019 Complexity of Inconsistency-Tolerant Query Answering in Datalog+/– under Cardinality-Based Repairs AAAI 2019 Controllable Text-to-Image Generation NeurIPS 2019 Diversity-Driven Extensible Hierarchical Reinforcement Learning AAAI 2019 Explanations for Query Answers under Existential Rules IJCAI 2019 Ontology-Mediated Query Answering over Log-Linear Probabilistic Data AAAI 2019 WikiCREM: A Large Unsupervised Corpus for Coreference Resolution EMNLP 2019 Complexity of Approximate Query Answering under Inconsistency in Datalog+/- IJCAI 2018 e-SNLI: Natural Language Inference with Natural Language Explanations NeurIPS 2018 Recent Advances in Querying Probabilistic Knowledge Bases IJCAI 2018 Most Probable Explanations for Probabilistic Database Queries IJCAI 2017 Query Answering in Ontologies under Preference Rankings IJCAI 2017 Tag-Aware Personalized Recommendation Using a Hybrid Deep Model IJCAI 2017 Preferential Query Answering over the Semantic Web with Possibilistic Networks IJCAI 2016 Combining Existential Rules with the Power of CP-Theories IJCAI 2015 Preference-Based Query Answering in Datalog+/– Ontologies IJCAI 2013