Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo

Authors: Kim, Hyunsu, Nam, Giung, Yun, Chulhee, Yang, Hongseok, Lee, Juho

Source: ICLR 2025

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2503.00699

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems

Authors: Nam, Giung, Lee, Juho

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2411.14860

Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance

Authors: Nam, Giung, Heo, Byeongho, Lee, Juho

Subject Terms: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2404.00860

Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling

Authors: Lee, Hyungi, Nam, Giung, Fong, Edwin, Lee, Juho

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2403.07282

Traversing Between Modes in Function Space for Fast Ensembling

Authors: Yun, EungGu, Lee, Hyungi, Nam, Giung, Lee, Juho

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2306.11304

Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning

Authors: Choi, Moonseok, Lee, Hyungi, Nam, Giung, Lee, Juho

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2305.14852

Martingale Posterior Neural Processes

Authors: Lee, Hyungi, Yun, Eunggu, Nam, Giung, Fong, Edwin, Lee, Juho

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2304.09431

Decoupled Training for Long-Tailed Classification With Stochastic Representations

Authors: Nam, Giung, Jang, Sunguk, Lee, Juho

Subject Terms: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2304.09426

Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation

Authors: Nam, Giung, Lee, Hyungi, Heo, Byeongho, Lee, Juho

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2206.15047

Diversity Matters When Learning From Ensembles

Authors: Nam, Giung, Yoon, Jongmin, Lee, Yoonho, Lee, Juho

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2110.14149

Benefits of Stochastic Weight Averaging in Developing Neural Network Radiation Scheme for Numerical Weather Prediction

Authors: Song, Hwan‐Jin, Roh, Soonyoung, Lee, Juho, Nam, Giung, Yun, Eunggu, Yoon, Jongmin, Kim, Park Sa

Source: Journal of advances in modeling earth systems. 14(10)

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100165154426.0x000001&indx=1&recIds=ETOCvdc_100165154426.0x000001