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Iris A.M. Huijben
Postdoc, Maastricht University
Joined
October 2019
Names
Iris A.M. Huijben
(Preferred)
,
Iris Anne Marie Huijben
,
Iris A. M. Huijben
Emails
****@tue.nl
(Confirmed)
,
****@maastrichtuniversity.nl
(Confirmed)
Personal Links
Google Scholar
DBLP
ORCID
Career & Education History
Postdoc
Maastricht University
(maastrichtuniversity.nl)
2025
–
Present
PhD student
Eindhoven University of Technology
(tue.nl)
2019
–
2024
Intern
Facebook
(meta.com)
2023
–
2023
Intern
QualComm
(qualcomm.com)
2020
–
2020
Advisors, Relations & Conflicts
Coauthor
H. van Gorp
2021
–
2024
PhD Advisor
RJG van Sloun
2019
–
2024
PhD Advisor
S. Overeem
2019
–
2024
PhD Advisor
MM van Gilst
2019
–
2024
Coauthor
M. Douze
2023
–
2023
Coauthor
J. Verbeek
2023
–
2023
Coauthor
T. Cohen
2020
–
2020
Coauthor
T. van Rozendaal
2020
–
2020
Expertise
signal decomposition
2025
–
Present
vector quantization
2022
–
2024
sleep staging
2019
–
2024
representation learning
2019
–
2024
Gumbel-softmax
2019
–
2024
compression
2019
–
2024
signal processing
2019
–
2024
self-supervised learning
2019
–
2024
contrastive learning
2019
–
2024
time series
2019
–
2024
EEG
2019
–
2024
subset selection
2019
–
2024
Publications
Learning Structured Compressed Sensing with Automatic Resource Allocation
Han Wang
,
Eduardo Pérez
,
Iris A.M. Huijben
,
Hans van Gorp
,
Ruud Van Sloun
,
Florian Römer
ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Readers:
Everyone
Residual Quantization with Implicit Neural Codebooks
Iris A.M. Huijben
,
Matthijs Douze
,
Matthew J. Muckley
,
Ruud Van Sloun
,
Jakob Verbeek
ICML 2024 Poster
Readers:
Everyone
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series
Iris A.M. Huijben
,
Arthur Andreas Nijdam
,
Sebastiaan Overeem
,
Merel M Van Gilst
,
Ruud Van Sloun
ICML 2023 Poster
Readers:
Everyone
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series
Iris A.M. Huijben
,
Arthur Andreas Nijdam
,
Sebastiaan Overeem
,
Merel M Van Gilst
,
Ruud Van Sloun
Published: 01 Feb 2023, Last Modified: 14 Jan 2026
Submitted to ICLR 2023
Readers:
Everyone
Active Deep Probabilistic Subsampling
Hans Van Gorp
,
Iris A. M. Huijben
,
Bastiaan S. Veeling
,
Nicola Pezzotti
,
Ruud J. G. van Sloun
2021 (modified: 29 Sept 2021)
ICML 2021
Readers:
Everyone
Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Ties van Rozendaal
,
Iris A. M. Huijben
,
Taco Cohen
2021 (modified: 29 Sept 2021)
ICLR 2021
Readers:
Everyone
Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Ties van Rozendaal
,
Iris A. M. Huijben
,
Taco S. Cohen
2021 (modified: 29 Sept 2021)
CoRR 2021
Readers:
Everyone
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities
Lizeth Gonzalez-Carabarin
,
Iris A. M. Huijben
,
Bastiaan S. Veeling
,
Alexandre Schmid
,
Ruud J. G. van Sloun
2021 (modified: 29 Sept 2021)
CoRR 2021
Readers:
Everyone
Active Deep Probabilistic Subsampling
Hans van Gorp
,
Iris A.M. Huijben
,
Bastiaan S. Veeling
,
Nicola Pezzotti
,
Ruud Van Sloun
28 Sept 2020 (modified: 05 May 2023)
ICLR 2021 Conference Blind Submission
Readers:
Everyone
Dynamic Probabilistic Pruning: Training sparse networks based on stochastic and dynamic masking
Lizeth Gonzalez Carabarin
,
Iris A.M. Huijben
,
Bastiaan S. Veeling
,
Alexandre Schmid
,
Ruud Van Sloun
28 Sept 2020 (modified: 05 May 2023)
ICLR 2021 Conference Withdrawn Submission
Readers:
Everyone
View all 17 publications
Co-Authors
Alessandro Sentelli
Alexandre Schmid
Andrea Passerini
Andrea Smargiassi
Arthur Andreas Nijdam
Bastiaan S. Veeling
Ben Luijten
Cristiano Saltori
Eduardo Pérez
Elena Torri
Elisa Ricci
Emanuele Peschiera
Enrico Fini
Federico Mento
Florian Römer
Georgee Tsintsadze
Gino Soldati
Giovanni Maschietto
Han Wang
Hans Van Gorp
Hans van Gorp
Jakob Verbeek
Kees Janse
Libertario Demi
Lizeth Gonzalez Carabarin
View all 46 co-authors