Major paper update‼️ Our work with @BernhardKainz1 and @quantumciaran has now been published on @NatMachIntell ! And can be read here :https://t.co/rHgQfdVjDZ . In this paper we look how to estimate categorical counterfactuals via deep twin networks 1/4
Thrilled to become a Monzonaut! 🚀 Joining @Monzo as a Lead ML Scientist working on personalisation. Excited to collaborate with Steve Martin and team to make banking better for everyone! #MachineLearning#Monzo#Personalisation#AI
New work out now! 🚀 "The Hardness of Validating Observational Studies with Experimental Data" explores fundamental limits of combining experimental & observational data, and introduces a novel Gaussian Process approach. #AISTATS2025. #CausalInference#ML https://t.co/QOECYKdwTx
Experiments on simulated and semi-synthetic datasets show our GP method offers superior predictive performance and well-calibrated uncertainty compared to standard approaches. #CausalInference#ML
Internship opportunity at Spotify!
PhD students, come join our Tech Research Team in London.
When: June-August 2025
Last day to apply is *February 6th, 2025* at 5 PM GMT.
Apply here https://t.co/yt1b1O1iVo
🚨 Internship alert🚨
The #causalinference research lab @SpotifyResearch is hiring research scientist interns! Come help us push the state-of-the-art in causal machine learning and craft tools to improve actionable decision making. Apply at: https://t.co/Ngk88iZ590
🚀 Today we are presenting our paper "Benchmarking Counterfactual Image Generation"! If you're at @NeurIPSConf come by and chat with us!
📍 Where: West Ballroom A-D (#5008)
Link: https://t.co/Uj959z3vJR
#NeurIPS2024#Counterfactuals#CausalML
Excited to attend #NeurIPS2024 in Vancouver next week!
If you’re interested in chatting about @SpotifyResearch ’s work, causal ML, or the future of AI, let’s connect. Use this link to schedule a meeting: https://t.co/vYrDIohR6P
Looking forward to great discussions and insights!
📢5 days to @NeurIPSConf 2024! We're presenting our poster "Benchmarking Counterfactual Image Generation"!
🗓️When: Wed, Dec 11, 11 a.m.–2 p.m. PST
📍Where: West Ballroom A-D (#5008), Vancouver
Interested in counterfactual image generation or evaluation frameworks? Come chat! 🚀
🎉 Excited to announce our paper "Benchmarking Counterfactual Image Generation" is accepted at NeurIPS 2024!
Proud of our students @ThomasMelistas@NikosSpyrou & @nefeligk for leading this effort. We present a benchmarking framework to evaluate counterfactual image generation.
Thrilled to announce my contribution to a soon-to-be-released book on Trustworthy AI for Medical Imaging! 🚀I co-authored a chapter on causal reasoning with AI, exploring how it can enhance reliability & fairness in real-world clinical applications.
Stay tuned! 🧠📚#AI#Causality