HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks. - Heungseok Park; Yoonsoo Nam; Jihoon Kim 002; Jaegul Choo (IEEE Trans. Vis. Comput. Graph., 2021)

Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization. - Yoonsoo Nam; Adam Lehavi; Daniel Yang; Digbalay Bose; Swabha Swayamdipta; Shrikanth Narayanan (ICASSP, 2024)

An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem. - Yoonsoo Nam; Nayara Fonseca; Seok Hyeong Lee; Chris Mingard; Ard A. Louis (NeurIPS, 2024)

An exactly solvable model for emergence and scaling laws. - Yoonsoo Nam; Nayara Fonseca; Seok Hyeong Lee; Ard A. Louis (CoRR, 2024)

Exploiting the equivalence between quantum neural networks and perceptrons. - Chris Mingard; Jessica Pointing; Charles London; Yoonsoo Nam; Ard A. Louis (CoRR, 2024)

Visualising Feature Learning in Deep Neural Networks by Diagonalizing the Forward Feature Map. - Yoonsoo Nam; Chris Mingard; Seok Hyeong Lee; Soufiane Hayou; Ard A. Louis (CoRR, 2024)

Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking). - Yoonsoo Nam; Seok Hyeong Lee; Clémentine Dominé; Yea Chan Park; Charles London; Wonyl Choi; Niclas Alexander Göring; Seungjai Lee (CoRR, 2025)

Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification. - Joseph Liu; Yoonsoo Nam; Xinyue Cui; Swabha Swayamdipta (CoRR, 2025)

Feature learning is decoupled from generalization in high capacity neural networks. - Niclas Alexander Göring; Charles London; Abdurrahman Hadi Erturk; Chris Mingard; Yoonsoo Nam; Ard A. Louis (CoRR, 2025)