Jordy Van Landeghem

Principal Researcher, Computer Science, Instabase

Joined

May 2021

Names

Jordy Van Landeghem (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Principal Researcher

Computer Science, Instabase (instabase.com)

2024 – Present

PhD student

Computer Science, KU Leuven (kuleuven.be)

2020 – 2024

Advisors, Relations & Conflicts

Coauthor

Łukasz Borchmann

Present

Coauthor

Sanket Biswas

Present

Coauthor

Mickael Coustaty

Present

PhD Advisor

Matthew B. Blaschko

2020 – 2024

PhD Advisor

Marie-Francine Moens

2020 – 2024

Expertise

Probabilistic Deep Learning

Present

Calibration

Present

Named Entity Recognition

Present

Document Analysis and Understanding

Present

Document AI

Present

Selective Generation

Present

Publications

A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko
- ICML 2025 poster
- Readers: Everyone
Document Understanding Dataset and Evaluation (DUDE)
Jordy Van Landeghem, Rubèn Tito, Lukasz Borchmann, Michal Pietruszka, Pawel Józiak, Rafal Powalski, Dawid Jurkiewicz, Mickaël Coustaty, Bertrand Anckaert, Ernest Valveny, Matthew B. Blaschko, Sien Moens, Tomasz Stanislawek
- Published: 01 Jan 2023, Last Modified: 22 Sept 2023
- CoRR 2023
- Readers: Everyone
Beyond Document Page Classification: Design, Datasets, and Challenges
Jordy Van Landeghem, Sanket Biswas, Matthew B. Blaschko, Marie-Francine Moens
- Published: 01 Jan 2023, Last Modified: 22 Sept 2023
- CoRR 2023
- Readers: Everyone
ICDAR 2023 Competition on Document UnderstanDing of Everything (DUDE)
Jordy Van Landeghem, Rubèn Tito, Lukasz Borchmann, Michal Pietruszka, Dawid Jurkiewicz, Rafal Powalski, Pawel Józiak, Sanket Biswas, Mickaël Coustaty, Tomasz Stanislawek
- Published: 01 Jan 2023, Last Modified: 30 Oct 2023
- ICDAR (2) 2023
- Readers: Everyone
Benchmarking Scalable Predictive Uncertainty in Text Classification
Jordy Van Landeghem, Matthew B. Blaschko, Bertrand Anckaert, Marie-Francine Moens
- 2022 (modified: 03 Nov 2022)
- IEEE Access 2022
- Readers: Everyone
Optimizing ship detection efficiency in SAR images
Arthur Van Meerbeeck, Jordy Van Landeghem, Ruben Cartuyvels, Marie-Francine Moens
- Published: 01 Jan 2022, Last Modified: 02 Nov 2023
- CoRR 2022
- Readers: Everyone
Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents
Sumam Francis, Jordy Van Landeghem, Marie-Francine Moens
- 2019 (modified: 03 Nov 2022)
- Inf. 2019
- Readers: Everyone

Jordy Van Landeghem

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators

Document Understanding Dataset and Evaluation (DUDE)

Beyond Document Page Classification: Design, Datasets, and Challenges

ICDAR 2023 Competition on Document UnderstanDing of Everything (DUDE)

Benchmarking Scalable Predictive Uncertainty in Text Classification

Optimizing ship detection efficiency in SAR images

Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents

Co-Authors