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2020 – today
- 2026
[i15]Bert Verbruggen, Arne Vanhoyweghen, Vincent Ginis:
Model-Agnostic Solutions for Deep Reinforcement Learning in Non-Ergodic Contexts. CoRR abs/2601.08726 (2026)- [i14]Seorin Kim, Vincent Holst, Vincent Ginis:
Turning Citation Networks Inside Out: Studying Science Using Content-Based Knowledge Graphs from LLM-Derived Taxonomies. CoRR abs/2601.15062 (2026) - 2025
- [c6]Floriano Tori, Vincent Holst, Vincent Ginis:
The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited. ICLR 2025 - [c5]Andres Algaba, Carmen Mazijn, Vincent Holst, Floriano Tori, Sylvia Wenmackers, Vincent Ginis:
Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias. NAACL (Findings) 2025: 6829-6864 - [i13]Seorin Kim, Julien Baudru, Wouter Ryckbosch, Hugues Bersini, Vincent Ginis:
Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records. CoRR abs/2501.11623 (2025) - [i12]Marthe Ballon, Andres Algaba, Vincent Ginis:
The Relationship Between Reasoning and Performance in Large Language Models - o3 (mini) Thinks Harder, Not Longer. CoRR abs/2502.15631 (2025) - [i11]Stig Hellemans, Andres Algaba, Sam Verboven, Vincent Ginis:
Flexible Counterfactual Explanations with Generative Models. CoRR abs/2502.17613 (2025) - [i10]Andres Algaba, Vincent Holst, Floriano Tori, Melika Mobini, Brecht Verbeken, Sylvia Wenmackers, Vincent Ginis:
How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices? CoRR abs/2504.02767 (2025) - [i9]Arne Vanhoyweghen, Brecht Verbeken, Andres Algaba, Vincent Ginis:
Lexical Hints of Accuracy in LLM Reasoning Chains. CoRR abs/2508.15842 (2025) - [i8]Marthe Ballon, Andres Algaba, Brecht Verbeken, Vincent Ginis:
Estimating problem difficulty without ground truth using Large Language Model comparisons. CoRR abs/2512.14220 (2025) - 2024
- [i7]Vincent Holst, Andres Algaba, Floriano Tori, Sylvia Wenmackers, Vincent Ginis:
Dataset Artefacts are the Hidden Drivers of the Declining Disruptiveness in Science. CoRR abs/2402.14583 (2024) - [i6]Andres Algaba, Carmen Mazijn, Vincent Holst, Floriano Tori, Sylvia Wenmackers, Vincent Ginis:
Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias. CoRR abs/2405.15739 (2024) - [i5]Floriano Tori, Vincent Holst, Vincent Ginis:
The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited. CoRR abs/2407.09381 (2024) - 2023
- [j3]Sam Verboven
, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Vincent Ginis, Wouter Verbeke:
HydaLearn. Appl. Intell. 53(5): 5808-5822 (2023) - [j2]Bert Verbruggen, Vincent Ginis:
Improving image classification of one-dimensional convolutional neural networks using Hilbert space-filling curves. Appl. Intell. 53(22): 26655-26671 (2023) - [c4]Carmen Mazijn, Carina Prunkl, Andres Algaba, Jan Danckaert, Vincent Ginis:
LUCID: Exposing Algorithmic Bias through Inverse Design. AAAI 2023: 14391-14399 - [c3]Hannah Pinson, Joeri Lenaerts, Vincent Ginis:
Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies. ICML 2023: 27876-27906 - [c2]Andres Algaba, Carmen Mazijn, Carina Prunkl, Jan Danckaert, Vincent Ginis:
LUCID-GAN: Conditional Generative Models to Locate Unfairness. xAI (3) 2023: 346-367 - [i4]Hannah Pinson, Joeri Lenaerts, Vincent Ginis:
Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies. CoRR abs/2303.02034 (2023) - [i3]Andres Algaba, Carmen Mazijn, Carina Prunkl, Jan Danckaert, Vincent Ginis:
LUCID-GAN: Conditional Generative Models to Locate Unfairness. CoRR abs/2307.15466 (2023) - 2022
- [i2]Joeri Lenaerts, Hannah Pinson, Vincent Ginis:
Data driven design of optical resonators. CoRR abs/2202.03578 (2022) - [i1]Carmen Mazijn, Carina Prunkl, Andres Algaba, Jan Danckaert, Vincent Ginis:
LUCID: Exposing Algorithmic Bias through Inverse Design. CoRR abs/2208.12786 (2022) - 2021
- [j1]Ali Mohajer Hejazi, Gert-Jan Stockman, Yannick Lefevre, Vincent Ginis, Werner Coomans:
Calculating Millimeter-Wave Modes of Copper Twisted-Pair Cables Using Transformation Optics. IEEE Access 9: 52079-52088 (2021) - [c1]Carmen Mazijn, Jan Danckaert, Vincent Ginis:
How Do the Score Distributions of Subpopulations Influence Fairness Notions? AIES 2021: 767-776
Coauthor Index
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