Weakly-Supervised Disentangled Representation Learning via Filter-Based Adaptive Swapping

Zhenyu Zong, Qidi Wang, Simon Yu et al.

Action editor: Yu Yao

https://openreview.net/forum?id=K69rKKozZU

#autoencoder #disentangled #representations

Disentangled Embedding through Style and Mutual Information for Domain Generalization

Noaman Mehmood, Kenneth Barner

Action editor: Rémi Flamary

https://openreview.net/forum?id=552tedTByb

#embeddings #embedding #disentangled

Efficient Multi-Agent RL Framework with Disentangled World Model

Researchers introduced VDFD, a MARL framework with a disentangled world model separating action‑conditioned, action‑free and static dynamics. It was posted on arXiv in September 2023. Read more: getnews.me/efficient-multi-agent-rl... #marl #disentangled

Explicitly Disentangled Representations in Object-Centric Learning

Riccardo Majellaro, Jonathan Collu, Aske Plaat, Thomas M. Moerland

Action editor: Jake C. Snell

https://openreview.net/forum?id=r8UFp9olQ0

#disentangling #disentangled #disentangle

DTRNet: Precisely Correcting Selection Bias in Individual-Level Continuous Treatment Effect Estim...

Mengxuan Hu, Zhixuan Chu, Sheng Li

Action editor: Arto Klami

https://openreview.net/forum?id=1ZTfzA9bXw

#disentangled #bias #datasets

Correcting Flaws in Common Disentanglement Metrics

New #TMLR-Paper-with-Video:

Correcting Flaws in Common Disentanglement Metrics

Louis Mahon, Lei Sha, Thomas Lukasiewicz

https://tmlr.infinite-conf.org/paper_pages/c8WJ4Vozb2

#disentangled #disentanglement #entangled