30 citations · 30 across the 6 of their papers we have counts for
3 papers · 1 filter
From Graph Diffusion to Graph Classification
Jia Jun Cheng Xian, Sadegh Mahdavi, Renjie Liao +1
Generative models such as diffusion models have achieved remarkable success in state-of-the-art image and text tasks. Recently, score-based diffusion models have extended their suc…
Why Online Reinforcement Learning is Causal
Oliver Schulte, Pascal Poupart
Reinforcement learning (RL) and causal modelling naturally complement each other. The goal of causal modelling is to predict the effects of interventions in an environment, while t…
Implicit Causal Representation Learning via Switchable Mechanisms
Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte +1
Learning causal representations from observational and interventional data in the absence of known ground-truth graph structures necessitates implicit latent causal representation…