Katie E Everett

5 papers · 2022–2024 · 3 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (13) 🌉 Interdisciplinary Bridge 🚀 Conference Pioneer

Conferences

ICLR (2) ICML (2) CLEAR (1)

Top co-authors

Edward J Hu (2) Yoshua Bengio (2) Jeffrey Pennington (2) Jascha Sohl-dickstein (2) Peter J Liu (2) Alexander A Alemi (2) Nikolay Malkin (2) Mitchell Wortsman (2) Lechao Xiao (2) Jaehoon Lee (2)

Keywords

variational autoencoder (2) independent component analysis (1) expectation maximization (1) latent variable model (1) disentangled representation (1) latent factor (1) causal graphical model (1) discrete structure (1) discrete variational autoencoder (1) variational inference (1) mechanism sparsity (1)

Papers

Small-scale proxies for large-scale Transformer training instabilities ICLR 2024

Scaling Exponents Across Parameterizations and Optimizers ICML 2024

GFlowNets and variational inference ICLR 2023

GFlowNet-EM for Learning Compositional Latent Variable Models ICML 2023

Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA CLEAR 2022