KANITE: Kolmogorov-Arnold Networks for ITE Estimation
Can a new kind of neural network teach us to predict exactly how any one person would respond to a treatment before it is ever given?
RESEARCH
Published Work
Causal inference, counterfactual reasoning, and the question of why.
I See, Therefore I Do: Estimating Causal Effects for Image Treatments
What if a photograph itself is the treatment and we could measure exactly how much it changed your decision?
From What to Why: Thought-Space Recommendation with Small Language Models
What if a recommendation system could understand not what you clicked but why you wanted it in the first place?
Estimation of Individual Causal Effects in Network Setup for Multiple Treatments
Does understanding the network effect between humans help us analyse cause and effect across multiple real-world scenarios?