Transfer Learning with Kernel Methods. - Adityanarayanan Radhakrishnan; Max Ruiz Luyten; Neha Prasad; Caroline Uhler (CoRR, 2022)

L2MAC: Large Language Model Automatic Computer for Unbounded Code Generation. - Samuel Holt; Max Ruiz Luyten; Mihaela van der Schaar (CoRR, 2023)

L2MAC: Large Language Model Automatic Computer for Extensive Code Generation. - Samuel Holt; Max Ruiz Luyten; Mihaela van der Schaar (ICLR, 2024)

A theoretical design of concept sets: improving the predictability of concept bottleneck models. - Max Ruiz Luyten; Mihaela van der Schaar (NeurIPS, 2024)

Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models. - Paulius Rauba; Nabeel Seedat; Max Ruiz Luyten; Mihaela van der Schaar (NeurIPS, 2024)

Risk-Sensitive Diffusion: Learning the Underlying Distribution from Noisy Samples. - Yangming Li; Max Ruiz Luyten; Mihaela van der Schaar (CoRR, 2024)

Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples. - Yangming Li; Max Ruiz Luyten; Mihaela van der Schaar (ICLR, 2025)

Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search. - Samuel Holt; Max Ruiz Luyten; Thomas Pouplin; Mihaela van der Schaar (CoRR, 2025)

G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration. - Samuel Holt; Max Ruiz Luyten; Antonin Berthon; Mihaela van der Schaar (CoRR, 2025)