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Thomas Lukasiewicz

80 papers · 2013–2025 · 15 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (11) 🌍 Conference Polyglot (15) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) 🀝 Dynamic Duo (14) πŸ”¬ Deep Specialist (11) πŸ”₯ Unstoppable (11) πŸš€ Conference Pioneer ⚑ Prolific Year (17) ❓ The Questioner (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (300) πŸ’Ž Century Club (80)

Conferences

IJCAI (15) AAAI (14) EMNLP (11) NIPS (10) ICLR (7) ACL (6) ICML (6) CVPR (3) IJCNLP (2) ACML (1) COLING (1) EACL (1) ICCV (1) NAACL (1) WACV (1)

Top co-authors

Oana-Maria Camburu (14) Tommaso Salvatori (13) Yuhang Song (13) Vid Kocijan (10) Rafal Bogacz (10) Zhenghua Xu (9) Beren Millidge (8) Yordan Yordanov (7) Δ°smail Δ°lkan Ceylan (7) Lei Sha (6)

Keywords

neural network (9) predictive coding (6) query answering (6) natural language explanation (6) language model (6) knowledge base (5) coreference resolution (5) existential rule (4) representation learning (4) pre-trained language model (4) natural language inference (4) complexity analysis (4) generative adversarial network (4) commonsense reasoning (3) gender bia (3) associative memory (3) semi-supervised learning (3) unsupervised learning (3) data augmentation (3) benchmark evaluation (3)

Papers

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