collaborators

14 papers

cs.AI2026

A game theory for foundation models shows new paths to rational cooperation through similarity inference

Alexander Meulemans, Maciej Wołczyk, Maciej Wołczyk +14

As autonomous agents powered by foundation models are increasingly integrated into social and economic systems, understanding the principles governing their collective behavior is…

cs.NE2026

BFF: Simple explanations for complex phenomena

Charlotte Knierim, Luca Versari, Robert Obryk +2

The ''Computational Life'' paper (Agüera y Arcas et al., 2024) argues that paired interactions in a computational soup are an effective way to find self-replicators. In this work,…

cs.LG2026

Can In-Context Learning Support Intrinsic Curiosity?

Eric Elmoznino, Sangnie Bhardwaj, Johannes von Oswald +5

Effective machine learning depends not only on how we model data, but also on what data we choose to collect. While large sequence models have revolutionized data modeling, the pro…

cs.DC2026

Towards a future space-based, highly scalable AI infrastructure system design

Blaise Agüera y Arcas, Travis Beals, Maria Biggs +6

If AI is a foundational general-purpose technology, we should anticipate that demand for AI compute -- and energy -- will continue to grow. The Sun is by far the largest energy sou…

cs.LG2026

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training

Johannes von Oswald, Nino Scherrer, Seijin Kobayashi +14

Sequence modeling is currently dominated by causal transformer architectures that use softmax self-attention. Although widely adopted, transformers require scaling memory and compu…

cs.AI2026

Formal Conjectures: An Open and Evolving Benchmark for Verified Discovery in Mathematics

Moritz Firsching, Paul Lezeau, Salvatore Mercuri +8

As automated reasoning systems advance rapidly, there is a growing need for research-level formal mathematical problems to accurately evaluate their capabilities. To address this,…