We are delighted to share our paper “Disentangled Representations for Causal Cognition” (arxiv.org/abs/2407.00744), the outcome of a long collaboration with Filippo Torresan.

The paper proposes a computational framework for causal cognition in natural and artificial agents, drawing from recent work in causal machine learning (in part based on recent developments of Markov categories in applied category theory) and reinforcement learning.

#causality #machinelearning #disentanglement #disentangled #representation #cognition #cognitivescience

Humpback Calf Disentangled Near Juneau
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Juneauite (mom) on the left and Herbert (entangled calf) on the right. Credit: NOAA Fisheries/Suzie Teerlink (NMFS Permit #24359)

NOAA Fisheries whale experts were on the water near Juneau most of Monday, July 17, disentangling a well-known humpback whale calf from a crab pot line. 

Biologist John...
https://alaska-native-news.com/humpback-calf-disentangled-near-juneau/69123/
#humpback #whale #calf #noaa #juneau #disentanglement

Variational Disentanglement for Domain Generalization

Yufei Wang, Haoliang Li, Hao Cheng, Bihan Wen, Lap-Pui Chau, Alex Kot

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

#disentangling #disentanglement #generalization