윤철희Chulhee Yun

20268편

• NeurIPST1

  AMUSE: Anytime Muon with Stable Gradient Evaluation

  Jueun Kim, Baekrok Shin, Jihun Yun, Beomhan Baek, Minhak Song, Chulhee Yun

• NeurIPSWorkshop

  Beyond Loss Gaps: Stability and Geometry in Dynamic Sample Reweighting

  Chulhee Yun, Ananda Theertha Suresh

• NeurIPSWorkshop

  Beyond Rate Optimality: How Polyak’s Momentum Shapes Non-Convex Optimization

  Donghwa Kim, Chulhee Yun

• NeurIPSWorkshop

  From Geometry to Generalization: Why Row Normalization Can Beat Adam and Muon

  Jihwan Kim, Dogyoon Song, Chulhee Yun

• ICLRT1

  Implicit Bias and Loss of Plasticity in Matrix Completion: Depth Promotes Low-Rankness

  Baekrok Shin, Chulhee Yun

• ICLRT1

  Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch Regime

  Beomhan Baek, Minhak Song, Chulhee Yun

• NeurIPSWorkshop

  In-Context Learning of Hidden Markov Models by Loop Transformers

  Minseop Shin, Jaeyoung Cha, Chulhee Yun

• NeurIPST1

  Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling

  Yeseul Cho, Baekrok Shin, Changmin Kang, Chulhee Yun