Katie Everett

1. Scaling Exponents Across Parameterizations and Optimizers
   2024/07/08 by Katie Everett, Everett, Katie, Lechao Xiao +19 · 2 voices · 20 citations
   #cs.LG
2. Small-scale proxies for large-scale Transformer training instabilities
   2023/09/25 by Mitchell Wortsman, Wortsman, Mitchell, Peter J. Liu +29 · 28 citations
   Computer Science · Decision Sciences · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Forecasting Techniques and Applications #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
3. Disentanglement via Mechanism Sparsity Regularization: A New Principle\n for Nonlinear ICA
   2021/07/21 by Sébastien Lachapelle, Lachapelle, Sébastien, Pau Rodríguez López +11 · 17 citations
   Computer Science · #Blind Source Separation Techniques #Neural Networks and Reservoir Computing #Neural Networks and Applications
4. Cycles in Causal Learning
   2020/07/24 by Katie Everett, Ian Fischer, Everett, Katie +1 · 1 citation
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Bayesian Modeling and Causal Inference #Machine Learning and Algorithms #Gene Regulatory Network Analysis