ir. Johannes Deleu

Conference Paper
open access

Feedback guidance of diffusion models

Félix Koulischer (UGent) , Florian Handke (UGent) , Johannes Deleu (UGent) , Thomas Demeester (UGent) and L Ambrogioni

(2025) NeurIPS2025, the 39th Conference on Neural Information Processing Systems.

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Dynamic negative guidance of diffusion models

Félix Koulischer (UGent) , Johannes Deleu (UGent) , Gabriel Raya, Thomas Demeester (UGent) and Luca Ambrogioni

(2025) ICLR 2025 : the Thirteenth International Conference on Learning Representations, Proceedings.

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Distractor generation for multiple-choice questions with predictive prompting and large language models

Semere Kiros Bitew (UGent) , Johannes Deleu (UGent) , Chris Develder (UGent) and Thomas Demeester (UGent)

(2025) MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2023, PT II. In Communications in Computer and Information Science 2134. p.48-63

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Accelerating Hopfield network dynamics : beyond synchronous updates and forward Euler

Cédric Goemaere (UGent) , Johannes Deleu (UGent) and Thomas Demeester (UGent)

(2024) 1ST ECAI WORKSHOP ON MACHINE LEARNING MEETS DIFFERENTIAL EQUATIONS : FROM THEORY TO APPLICATIONS. In Proceedings of Machine Learning Research 255.

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Conference Paper
P1
open access

Clinical reasoning over tabular data and text with bayesian networks

Paloma Rabaey (UGent) , Johannes Deleu (UGent) , Stefan Heytens (UGent) and Thomas Demeester (UGent)

(2024) ARTIFICIAL INTELLIGENCE IN MEDICINE, PT I, AIME 2024. In Lecture Notes in Artificial Intelligence 14844. p.229-250

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Journal Article
A1
open access

Few-shot out-of-scope intent classification : analyzing the robustness of prompt-based learning

Yiwei Jiang (UGent) , Maarten De Raedt (UGent) , Johannes Deleu (UGent) , Thomas Demeester (UGent) and Chris Develder (UGent)

(2024) APPLIED INTELLIGENCE. 54(2). p.1474-1496

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Journal Article
A1
open access

Learning to reuse distractors to support multiple choice question generation in education

Semere Kiros Bitew (UGent) , Amir Hadifar, Lucas Sterckx, Johannes Deleu (UGent) , Chris Develder (UGent) and Thomas Demeester (UGent)

(2024) IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES. 17. p.375-390

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Exploring the temperature-dependent phase transition in modern hopfield networks

Félix Koulischer (UGent) , Cédric Goemaere (UGent) , Tom Van Der Meersch (UGent) , Johannes Deleu (UGent) and Thomas Demeester (UGent)

(2023) Workshop on Associative Memory and Hopfield Networks held at the Thirty-seventh Conference on Neural Information Processing Systems (AMHN workshop at NeurIPS23).

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Accelerating hierarchical associative memory : a deep equilibrium approach

Cédric Goemaere (UGent) , Johannes Deleu (UGent) and Thomas Demeester (UGent)

(2023) Associative Memory & Hopfield Networks in 2023 : NeurIPS 2023 workshop, Proceedings.

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Conference Paper
C1
open access

BioDEX : large-scale biomedical adverse drug event extraction for real-world pharmacovigilance

Karel D'Oosterlinck (UGent) , François Remy (UGent) , Johannes Deleu (UGent) , Thomas Demeester (UGent) , Chris Develder (UGent) , Klim Zaporojets, Arya Ghodsi, S Ellershaw, J. Collins and C. Potts

(2023) 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Proceedings.

Academic Bibliography

ir. Johannes Deleu

Feedback guidance of diffusion models

Dynamic negative guidance of diffusion models

Distractor generation for multiple-choice questions with predictive prompting and large language models

Accelerating Hopfield network dynamics : beyond synchronous updates and forward Euler

Clinical reasoning over tabular data and text with bayesian networks

Few-shot out-of-scope intent classification : analyzing the robustness of prompt-based learning

Learning to reuse distractors to support multiple choice question generation in education

Exploring the temperature-dependent phase transition in modern hopfield networks

Accelerating hierarchical associative memory : a deep equilibrium approach

BioDEX : large-scale biomedical adverse drug event extraction for real-world pharmacovigilance

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