Murat Onur Yildirim

Hi, I am a PhD candidate in the AMOR/e lab under the supervision of Joaquin Vanschoren at the Mathematics and Computer Science department in TU Eindhoven.

My research focuses on developing efficient adaptation strategies mostly for post-training, inspired by neuroscientific principles such as sparsity and modularity, under the continual learning paradigm.

Email  -  Scholar  -  Github  -  In  -  CV

News

  • 05/2025, "Self-Regulated Neurogenesis for Online Data-Incremental Learning" has been accepted for an oral presentation at CoLLAs!
  • 04/2025, I have joined the General Assembly of the EU-project SYNERGIES in Paris, France.
  • 03/2025, I have participated an inspiring spring school on "Learning Over Time" at Certosa di Pontignano, Italy.
  • 06/2024, I have attended an amazing summer school on Generative Modelling "GeMMS" at TU Eindhoven.
  • 11/2023, "Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates" has been accepted for an oral presentation at CPAL!
  • 09/2023, "AdaCL: Adaptive Continual Learning" has been accepted for an oral presentation at the CLAI!
  • 04/2023, "Condition Monitoring and Predictive Maintenance in Railways" is granted to international patent.
  • 10/2022, "Automated Machine Learning Approach in Material Discovery of Hole Selective Layers for Perovskite Solar Cells" has been published in the Energy Technology.
  • 11/2021, "Predicting Perovskite Bandgap and Solar Cell Performance with Machine Learning" has been published in the Solar RRL.
  • 05/2021, "A Machine Learning Approach for Metal Oxide Based Polymer Composites as Charge Selective Layers in Perovskite Solar Cells" published in the ChemPlusChem.
  • 08/2020, "Comparison of Machine Learning Models on Performance of Single- and Dual-Type Electrochromic Devices" has been published in the ACS Omega.

Research

Publication Image 7

Self-Regulated Neurogenesis for Online Data-Incremental Learning.
Murat Onur Yildirim, Elif Ceren Gok Yildirim, Decebal Constantin Mocanu, Joaquin Vanschoren.
CoLLAs, 2025 (oral).
paper  -  github  -  blog

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AdaCL: Adaptive Continual Learning.
Elif Ceren Gok Yildirim, Murat Onur Yildirim, Mert Kilickaya, Joaquin Vanschoren.
ContinualAI, 2024 (oral).
paper  -  github  -  blog

Publication Image 5

Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates.
Murat Onur Yildirim, Elif Ceren Gok Yildirim, Ghada Sokar, Decebal Constantin Mocanu, Joaquin Vanschoren.
CPAL, 2024 (oral).
paper  -  github

Publication Image 4

Automated Machine Learning in Material Discovery of Hole Selective Layers for Perovskite Solar Cells.
Murat Onur Yildirim, Elif Ceren Gok Yildirim, Esin Eren, Peng Huang, Muhammed Haris, Samrana Kazim, Joaquin Vanschoren, Aysegul Uygun Oksuz, Shahzada Ahmad.
Energy Technology, 2023.
paper

Publication Image 3

Predicting Perovskite Bandgap and Solar Cell Performance with Machine Learning.
Elif Ceren Gok, Murat Onur Yildirim, Muhammed Haris, Esin Eren, Meenakshi Pegu, Naveen Harindu Hemasiri, Peng Huang, Samrana Kazim, Aysegul Uygun Oksuz, Shahzada Ahmad.
Solar RRL, 2022.
paper

Publication Image 2

A Machine Learning Approach for Metal Oxide Based Polymer Composites as Charge Selective Layers in Perovskite Solar Cells.
Murat Onur Yildirim, Elif Ceren Gok, Naveen Harindu Hemasiri, Esin Eren, Samrana Kazim, Aysegul Uygun Oksuz, Shahzada Ahmad.
ChemPlusChem, 2021.
paper

Publication Image 1

Comparison of Machine Learning Models on Performance of Single-and Dual-Type Electrochromic Devices.
Elif Ceren Gok, Murat Onur Yildirim, Esin Eren, Aysegul Uygun Oksuz.
ACS Omega, 2020.
paper

See more

Supervision

If you are excited about exploring machine learning through the lens of efficient adaptation and post-training strategies, I would love to brainstorm ideas and support your journey in a collaborative, low-pressure environment. I have been lucky to work with such talented and curious people:

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Shreya Sajid
Muting Tokens: Exploring Token Sparsification for Efficient Audio Transformers — co-supervised by NXP, 2025.
thesis

Student Image 2

Athira Kulampurath
Reliability and Uncertainty in Foundation Model-Based Class-Incremental Learning — 2025.
thesis

Student Image 1

Coen Schouten
On-the-Fly Curriculum Design for Online Class-Incremental Learning — cum laude, 2024.
thesis


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