Vincent Ginis

Orcid: 0000-0003-0063-9608

According to our database1, Vincent Ginis authored at least 15 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?
CoRR, April, 2025

Flexible Counterfactual Explanations with Generative Models.
CoRR, February, 2025

The Relationship Between Reasoning and Performance in Large Language Models - o3 (mini) Thinks Harder, Not Longer.
CoRR, February, 2025

Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records.
CoRR, January, 2025

Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias.
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.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Dataset Artefacts are the Hidden Drivers of the Declining Disruptiveness in Science.
CoRR, 2024

2023
Improving image classification of one-dimensional convolutional neural networks using Hilbert space-filling curves.
Appl. Intell., November, 2023

HydaLearn.
Appl. Intell., March, 2023

LUCID-GAN: Conditional Generative Models to Locate Unfairness.
Proceedings of the Explainable Artificial Intelligence, 2023

Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies.
Proceedings of the International Conference on Machine Learning, 2023

LUCID: Exposing Algorithmic Bias through Inverse Design.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Data driven design of optical resonators.
CoRR, 2022

2021
Calculating Millimeter-Wave Modes of Copper Twisted-Pair Cables Using Transformation Optics.
IEEE Access, 2021

How Do the Score Distributions of Subpopulations Influence Fairness Notions?
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021


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