Vincent Ginis

According to our database, Vincent Ginis authored at least 27 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Scalable Classification of Course Information Sheets Using Large Language Models: A Reusable Institutional Method for Academic Quality Assurance.

Brecht Verbeken, Joke Van den Broeck, Inge De Cleyn, Steven Van Luchene, Nadine Engels, Andres Algaba, Vincent Ginis

CoRR, March, 2026

Human-in-the-Loop LLM Grading for Handwritten Mathematics Assessments.

Arne Vanhoyweghen, Vincent Holst, Melika Mobini, Lukas Van de Voorde, Tibo Vanleke, Bert Verbruggen, Brecht Verbeken, Andres Algaba, Sam Verboven, Marie-Anne Guerry, Filip Van Droogenbroeck, Vincent Ginis

CoRR, March, 2026

Ergodicity in reinforcement learning.

Dominik Baumann, Erfaun Noorani, Arsenii Mustafin, Xinyi Sheng, Bert Verbruggen, Arne Vanhoyweghen, Vincent Ginis, Thomas B. Schön

CoRR, March, 2026

Probing Graph Neural Network Activation Patterns Through Graph Topology.

Floriano Tori, Lorenzo Bini, Marco Sorbi, Stéphane Marchand-Maillet, Vincent Ginis

CoRR, February, 2026

Early Evidence of Vibe-Proving with Consumer LLMs: A Case Study on Spectral Region Characterization with ChatGPT-5.2 (Thinking).

Brecht Verbeken, Brando Vagenende, Marie-Anne Guerry, Andres Algaba, Vincent Ginis

CoRR, February, 2026

Probing the Trajectories of Reasoning Traces in Large Language Models.

Marthe Ballon, Brecht Verbeken, Vincent Ginis, Andres Algaba

CoRR, January, 2026

Structurally Human, Semantically Biased: Detecting LLM-Generated References with Embeddings and GNNs.

Melika Mobini, Vincent Holst, Floriano Tori, Andres Algaba, Vincent Ginis

CoRR, January, 2026

Benchmarks Saturate When The Model Gets Smarter Than The Judge.

Marthe Ballon, Andres Algaba, Brecht Verbeken, Vincent Ginis

CoRR, January, 2026

Turning Citation Networks Inside Out: Studying Science Using Content-Based Knowledge Graphs from LLM-Derived Taxonomies.

Seorin Kim, Vincent Holst, Vincent Ginis

CoRR, January, 2026

Model-Agnostic Solutions for Deep Reinforcement Learning in Non-Ergodic Contexts.

Bert Verbruggen, Arne Vanhoyweghen, Vincent Ginis

CoRR, January, 2026

2025

Estimating problem difficulty without ground truth using Large Language Model comparisons.

Marthe Ballon, Andres Algaba, Brecht Verbeken, Vincent Ginis

CoRR, December, 2025

Lexical Hints of Accuracy in LLM Reasoning Chains.

Arne Vanhoyweghen, Brecht Verbeken, Andres Algaba, Vincent Ginis

CoRR, August, 2025

How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?

Andres Algaba, Vincent Holst, Floriano Tori, Melika Mobini, Brecht Verbeken, Sylvia Wenmackers, Vincent Ginis

CoRR, April, 2025

Flexible Counterfactual Explanations with Generative Models.

Stig Hellemans, Andres Algaba, Sam Verboven, Vincent Ginis

CoRR, February, 2025

The Relationship Between Reasoning and Performance in Large Language Models - o3 (mini) Thinks Harder, Not Longer.

Marthe Ballon, Andres Algaba, Vincent Ginis

CoRR, February, 2025

Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records.

Seorin Kim, Julien Baudru, Wouter Ryckbosch, Hugues Bersini, Vincent Ginis

CoRR, January, 2025

Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias.

Andres Algaba, Carmen Mazijn, Vincent Holst, Floriano Tori, Sylvia Wenmackers, Vincent Ginis

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited.

Floriano Tori, Vincent Holst, Vincent Ginis

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Dataset Artefacts are the Hidden Drivers of the Declining Disruptiveness in Science.

Vincent Holst, Andres Algaba, Floriano Tori, Sylvia Wenmackers, Vincent Ginis

CoRR, 2024

2023

Improving image classification of one-dimensional convolutional neural networks using Hilbert space-filling curves.

Bert Verbruggen, Vincent Ginis

Appl. Intell., November, 2023

HydaLearn.

Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Vincent Ginis, Wouter Verbeke

Appl. Intell., March, 2023

LUCID-GAN: Conditional Generative Models to Locate Unfairness.

Andres Algaba, Carmen Mazijn, Carina Prunkl, Jan Danckaert, Vincent Ginis

Proceedings of the Explainable Artificial Intelligence, 2023

Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies.

Hannah Pinson, Joeri Lenaerts, Vincent Ginis

Proceedings of the International Conference on Machine Learning, 2023

LUCID: Exposing Algorithmic Bias through Inverse Design.

Carmen Mazijn, Carina Prunkl, Andres Algaba, Jan Danckaert, Vincent Ginis

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Data driven design of optical resonators.

Joeri Lenaerts, Hannah Pinson, Vincent Ginis

CoRR, 2022

2021

Calculating Millimeter-Wave Modes of Copper Twisted-Pair Cables Using Transformation Optics.

Ali Mohajer Hejazi, Gert-Jan Stockman, Yannick Lefevre, Vincent Ginis, Werner Coomans

IEEE Access, 2021

How Do the Score Distributions of Subpopulations Influence Fairness Notions?

Carmen Mazijn, Jan Danckaert, Vincent Ginis

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021