van der Schaar Lab

van der Schaar Lab at ICML workshop 2026

We are delighted to share a variety of papers from the van der Schaar Lab have been accepted across multiple workshops at the International Conference on Machine Learning (ICML) 2026, taking place in Seoul, South Korea.

In addition to our papers accepted to the ICML 2026 main conference track, these workshop acceptances further highlight the breadth and depth of the lab’s research contributions this year.

Our accepted workshop papers are:

  1. Scaling with Recursion in Masked Discrete Diffusion Models
    Alba Carballo Castro, Julianna Piskorz, Paulius Rauba, Mihaela van der Schaar
    Accepted at Foundations of Deep Generative Models, High Dimensional Learning Dynamics, and Structured Probabilistic Inference & Generative Modeling
  2. A Decision Theoretic Formalisation of Steganography with Applications to LLM Monitoring
    Usman Anwar, Julianna Piskorz, David D. Baek, David D. Africa, Jim Weatherall, Max Tegmark, Christian Schroeder de Witt, Mihaela van der Schaar, David Krueger
    Accepted at Technical AI Governance Research
  3. Knowledge-Informed Kernel State Reconstruction from Heterogeneous Partial Observations
    Luca Muscarnera, Silas Ruhrberg Estévez, Samuel Holt, Evgeny Saveliev, Mihaela van der Schaar
    Accepted at Structured Data for Health
  4. Learning Reasoning Rewards from Expert Demonstrations with Inverse Reinforcement Learning
    Claudio Fanconi, Nicolas Astorga, Mihaela van der Schaar
    Accepted at Decision-Making from Offline Datasets to Online Adaption
  5. Resource-Adaptive Foundation Model Reasoning via Semantic Coverage
    Max Ruiz Luyten, Thomas Pouplin, Mihaela van der Schaar
    Accepted at AdaptFM
  6. Structural Support Certificates for Graph-Query Inference in Mechanism Posteriors
    Max Ruiz Luyten, Mihaela van der Schaar
    Accepted at Structured Probabilistic Inference & Generative Modeling
  7. Communication Boundary Failures in Multi-Agent Language Models
    Max Ruiz Luyten, Mihaela van der Schaar
    Accepted at Failure Modes in Agentic AI
  8. When More Rollouts Add No Support: Semantic Coverage Collapse in Agentic Test-Time Search
    Max Ruiz Luyten, Thomas Pouplin, Mihaela van der Schaar
    Accepted at Failure Modes in Agentic AI
  9. Reasoning with Neologisms: Can Soft Tokens Learn Composable Reasoning Skills Without Forgetting?
    Antonin Berthon, Mihaela van der Schaar
    Accepted at Compositional Learning: Safety, Interpretability, and Agents

Marika Niihori

Marika is our communications manager since joining in 2025. Marika is a trained physicist with a PhD in NanoPhotonics from the University of Cambridge.

Alongside her scientific background, she has extensive experience in science communication through content creation, outreach, and public engagement. She has also gained industry experience in biotech, further broadening her perspective on how research translates into real-world applications.

Marika works to share the group’s cutting-edge AI and machine learning research with both scientific and wider audiences, making complex ideas clear, engaging, and impactful.