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portfolio
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publications
HyperTendril: Visual Analytics for User-driven Hyperparameter Optimization of Deep Neural Networks
Published in IEEE Transactions on Visualization and Computer Graphics, 2021
Heungseok Park, Yoonsoo Nam, Ji-Hoon Kim†, and Jaegul Choo†
Exploiting the equivalence between quantum neural networks and perceptrons
Published in Arxiv preprint, 2024
Chris Mingard, Jessica Pointing, Charles London, Yoonsoo Nam, Ard A. Louis
Algorithmic Stability of Minimum-Norm Interpolating Deep Neural Networks
Published in M3L Workshop @ Neurips, 2024
Ouns El Harzli*, Yoonsoo Nam*, Ilja Kuzborskij, Bernardo Cuenca Grau, Ard A. Louis
An Exactly Solvable Model for Emergence and Scaling Laws in the Multitask Sparse Parity Problem
Published in NeurIPS, 2024
Yoonsoo Nam*, Nayara Fonseca*, Seok Hyeong Lee, Chris Mingard, Ard A. Louis
Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)
Published in ICML, 2025
Yoonsoo Nam*, Seok Hyeong Lee*, Clementine CJ Domine, Yeachan Park, Charles London, Wonyl Choi, Niclas A. Goring, Seungjai Lee
Disentangling Feature Learning from Generalization in Neural Networks
Published in HiLD Workshop @ ICML, 2025
Niclas A. Goring, Charles London, Abdurrahman Hadi Erturk, Chris Mingard, Yoonsoo Nam, Ard A. Louis
Automation of Rietveld Refinement through Machine Learning
Published in Journal of Applied Crystallography, 2026
Suk Jin Mun, Yoonsoo Nam, and Sungkyun Choi
Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement
Published in ICLR, 2026
Yoonsoo Nam, Nayara Fonseca, Seok Hyeong Lee, Chris Mingard, Niclas A. Goring, Ouns El Harzli, Abdurrahman Hadi Erturk, Soufiane Hayou, Ard A. Louis
talks
ICLR 2026
Published:
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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