van der Schaar Lab

van der Schaar Lab @ ICLR Workshops 2026

We are delighted to share that seven papers from the van der Schaar Lab have been accepted across multiple workshops at the International Conference on Learning Representations (ICLR) 2026, taking place in Rio de Janeiro.

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

Our workshop papers span agent verification, steganographic reasoning, and autoregressive modelling – reflecting cutting-edge research advancing the development of robust and deployable AI systems.

Accepted workshop papers:

  • GLEAN: Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification
    Yichi Zhang, Nabeel Seedat, Yinpeng Dong, Peng Cui, Jun Zhu, Mihaela van der Schaar
    Accepted at ICLR 2026 Workshops: Trustworthy AI, VerifAI-2, AIWILD, Reliable Autonomy
  • A Decision-Theoretic Formalisation of Steganography With Applications to LLM Monitoring
    Usman Anwar, Julianna Piskorz, David D. Baek, David Demitri Africa, Jim Weatherall, Max Tegmark, Christian Schroeder de Witt, Mihaela van der Schaar, David Krueger
    Accepted at ICLR 2026 Workshops: Trustworthy AI, AIWILD
  • Tiny Autoregressive Recursive Models
    Paulius Rauba, Claudio Fanconi, Mihaela van der Schaar
    Accepted at ICLR 2026 Workshop: LIT, RSI
  • Learning Reasoning Reward Models from Expert Demonstration via Inverse Reinforcement Learning
    Claudio Fanconi, Nicolás Astorga, Mihaela van der Schaar
    Accepted at ICLR 2026 Workshop: LLM Reasoning

Congratulations to the authors and all co-authors.

If you will be attending ICLR 2026, we would be very glad to connect.

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.