1 citations · 4 across the 16 of their papers we have counts for
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SAGE: Scalable Ground Truth Evaluations for Large Sparse Autoencoders
Constantin Venhoff, Anisoara Calinescu, Philip Torr +1
A key challenge in interpretability is to decompose model activations into meaningful features. Sparse autoencoders (SAEs) have emerged as a promising tool for this task. However,…
Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model
Samuel Wiese, Jagoda Kaszowska-Mojsa, Joel Dyer +6
In the last few years, economic agent-based models have made the transition from qualitative models calibrated to match stylised facts to quantitative models for time series foreca…
A multi-objective combinatorial optimisation framework for large scale hierarchical population synthesis
Imran Mahmood, Nicholas Bishop, Anisoara Calinescu +2
In agent-based simulations, synthetic populations of agents are commonly used to represent the structure, behaviour, and interactions of individuals. However, generating a syntheti…
Causally Abstracted Multi-armed Bandits
Fabio Massimo Zennaro, Nicholas Bishop, Joel Dyer +4
Multi-armed bandits (MAB) and causal MABs (CMAB) are established frameworks for decision-making problems. The majority of prior work typically studies and solves individual MAB and…